DoD STTR Program Phase I Selections for FY12.B

DoD STTR Program Phase I Selections for FY12.B

AF Selections

DARPA Selections

MDA Selections

OSD Selections


---------- AF ----------

Agiltron Corporation
15 Presidential Way,
Woburn, MA 01801
(781) 935-1200

PI: Jung Yoon
(781) 935-1200
Contract #: FA8651-13-M-0088
President & Fellows of Harvard
Office for Sponsored Programs, 1350 Massachusetts Avenue
Cambridge, MA 02138
(617) 495-0460

ID#: F12B-T03-0105
Agency: AF
Topic#: AF12-BT03      Awarded: 3/4/2013
Title: Biologically Inspired Plasmonic Integrated Multi-Color Sensors (BI-PIMS)
Abstract:  In this program, Agiltron, Inc. and Harvard University will develop a biologically-inspired integrated sensor that can detect the UV, visible (VIS), near infrared (NIR), and mid-wave infrared (MWIR) bands. This sensor will be integrated with plasmonic filters to provide additional information from the radiation field that may not be available to common image sensors. The advanced integrated sensors will provide spectral information of those four bands in addition to information about polarization, temporal, and object shape information. In analogy to compound eyes of insects, all the information is gathered using advanced integrated sensors without the need for additional components. BENEFIT: This program addresses the lack of a single integrated sensor to extract most information from the electromagnetic radiation field to enable autonomous behavior. Currently, separate sensors sensitive to different bands (UV, visible, near-infrared, and mid-wave infrared) and to polarization are used. In addition to the benefits of size and weight reduction, integrating these sensors will allow better target discrimination by processing in one system the unique spectral and polarization signatures of the objects in a scene. The integrated sensor will be useful for camouflage breaking of static objects and autonomous behavior of vehicles. Potential applications of this technology include ISR sensors, sensors for autonomous vehicles, and missile seekers. Commercial applications include surveillance, search and rescue, and space-based imaging.

Barron Associates, Inc.
1410 Sachem Place, Suite 202
Charlottesville, VA 22901
(434) 973-1215

PI: Richard J. Adams
(434) 973-1215
Contract #: FA9453-13-M-0060
John Hopkins University
Research Projects Admin, W400 Wyman Park Center
Baltimore, MA 21218
(410) 516-5281

ID#: F12B-T09-0112
Agency: AF
Topic#: AF12-BT09      Awarded: 3/12/2013
Title: Game-based AutonoMy-Enabled Response (GAMER)
Abstract:  Barron Associates Inc. proposes development of a Game-based AutonoMy-Enabled Response (GAMER) system for spacecraft protection. The effort extends leading-edge research in dynamic games to enable autonomous defensive response to space threats. GAMER introduces a hierarchical approach that enables multiple satellites to work together towards a common protection strategy in an evolving environment. Algorithms and models developed in this Phase I will be incorporated into a Service Oriented Architecture framework in which GAMER solutions are integrated with other AF-funded autonomy software. The approach will ensure the game-theoretic solutions are tested within a high-fidelity environment with well-vetted models and use cases; and permit side-by-side comparisons of these solutions with other decision-making tools (e.g. model-based reasoning and expert systems). BENEFIT: Barron Associates will pursue commercialization of the proposed technology through a two-pronged approach. First, through software sales and licensing, Barron Associates will aggressively commercialize autonomous software produced in the GAMER effort. This includes a turnkey application that, through the software’s flexible plugin-based architecture, enables users to extend an existing stable of scenarios and dynamic game solutions with custom use cases and autonomy components. Second, through consulting services and contract R&D, Barron Associates will work with prime integrators to incorporate GAMER solutions into future generations of air, space, and cyber systems.

Centeye, Inc.
4905 Reno Road NW,
Washington, DC 20008
(202) 238-9545

PI: Geoffrey L Barrows
(202) 238-9545
Contract #: FA8651-13-M-0087
University of Maryland
Lee Building,
College Park, MD 20742
(301) 405-6269

ID#: F12B-T03-0067
Agency: AF
Topic#: AF12-BT03      Awarded: 2/26/2013
Title: Biologically-inspired low light integrated vision systems
Abstract:  Our objective is to develop a vision system for a micro air vehicle (MAV) or other robotic system that allows it to operate in extremely low light levels. We will develop systems capable of operating in ambient light or with active illumination carried aboard the vehicle, and will explore both silicon-based sensors for the visible/NIR band and hybridized sensors for the SWIR and/or MWIR bands. The image sensors will comprise capacitive transimpedance amplifer driven photodetectors and/or single photon avalanche diode devices, and biologically inspired pooling mechanisms to extract spatiotemporal features from the visual field. We will draw inspiration on integrated sensing and processing methods from the visual systems of nocturnal insects, who navigate in light levels on the order of several photons per photoreceptor per second. We will also explore use of statistics and information theoretic measures to optimally detect visual features, optical flow patterns, and ultimately egomotion and the presence of targets of interest. In Phase I we will conduct a feasibility study in which we explore signal processing techniques and sensor architecture concepts, and select a semiconductor material for making a hybridized infrared sensor. We will build a prototype system in Phase II. BENEFIT: The resulting visual systems will enable air vehicles and robotic platforms in general to operate in extremely low light levels on the order of tens of photons per pixel per second or less. The final system will be light enough for use on micro- or nano-air vehicles. Sample anticipated applications include: 1) Enabling air or ground vehicles to operate stealthily in an indoor environment, including deep inside caves, tunnels, pipes, or other structures. 2) Enabling air vehicles to operate at night, using only starlight or airglow for ambient illumination, including underneath forest canopies or deep in urban canyons. 3) Providing see-and-avoid capabilities to a UA (unmanned aircraft) operating at night. 4) Stealthy operation in pure dark environments, by allowing active illumination with only a minimal amount of illumination provided by the platform. We anticipate the resulting technology to be useful to both the military, especially special forces, and civilian customers.

Charles River Analytics Inc.
625 Mount Auburn Street,
Cambridge, MA 02138
(617) 491-3474

PI: Wayne Thornton
(617) 491-3474
Contract #: FA9550-13-C-0028
Harvard University
1737 Cambridge Street, CGIS Knafel Building, Room 350
Cambridge, MA 02138
(617) 500-7570

ID#: F12B-T01-0057
Agency: AF
Topic#: AF12-BT01      Awarded: 2/15/2013
Title: Extracting Valid Inferences from Data, Evidence, and Novel Tests (EVIDENT)
Abstract:  A recent study by the National Research Council found that sophisticated statistical techniques are finding their way into DoD operational test design, but that current DoD practices are still substantially behind the state of the art. The study concluded this has resulted in inefficient test designs, wasted resources, and less effective acquisition decision making. US Air Force test and evaluation (T&E) organizations need a toolkit that gives analysts access to sophisticated statistical techniques. To help T&E analysts design more efficient tests and draw statistically defensible inferences from test data that cannot be analyzed using basic statistical techniques, we propose to design a toolkit for Extracting Valid Inferences from Data, Evidence, and Novel Tests (EVIDENT). EVIDENT will help Air Force T&E personnel: (1) assess the feasibility and technical risk of comparing test data sets; (2) compare test results that are known to reflect bias; (3) analyze the results of tests conducted over time or in a sequence; and (4) design tests when it is impractical to randomly select test subjects or generate large samples to support the usual confidence levels. BENEFIT: We will pursue a two-part plan that transitions the technologies in the EVIDENT toolkit to Government and military customers, and that extends our existing AgentWorks™ commercial product to increase its appeal to a number of new markets and customers. The technology in the EVIDENT toolkit will be of value to any analyst who must design efficient tests or draw statistically defensible conclusions from data that cannot be analyzed using basic statistical techniques. Therefore, we expect the full-scope EVIDENT toolkit to offer immediate and tangible benefits for any DoD organization involved in T&E planning or analyzing test data. Our main approach to commercializing the technologies developed under this program is to incorporate them into our AgentWorks product, which will increase its appeal as a commercial product and enable us to use the tool to provide consulting services based on AgentWorks to customers in DoD, other Federal agencies, and commercial markets.

Creative Aero Engineering Solutions
6285 E. Spring St. #304N,
Long Beach, CA 90808
(661) 904-7535

PI: Alan Arslan
(661) 904-7535
Contract #: FA9550-13-C-0016
University of California Los Angele
420 Westwood Plaza, Box 951597
Los Angeles, CA 90095
(310) 206-5443

ID#: F12B-T12-0044
Agency: AF
Topic#: AF12-BT12      Awarded: 2/13/2013
Title: Scaled Transonic Dynamic Aeroelasticity Through Wind Tunnel Testing (ST-DAWTT)
Abstract:  Under this collaborative effort, Creative Aero Engineering Solutions (CAES) and its academic partner University of California Los Angeles (UCLA) are pleased to team on the research entitled "Scaled Transonic Dynamic Aeroelasticity through Wind Tunnel Testing (ST-DAWTT),” consisting of a novel approach for characterizing the transonic aeroelastic environment of a full-scale fighter in the wind-tunnel (WT). Under phase I, the team will explore the feasibility of such an environment though the design of aeroelastically scaled wind tunnel models. At least one of the models will serve as a benchmark of Computational Science and Engineering (CSE) tools. The experimental data sets obtained during Phase II will enable the designer to optimize aeroelastic stability margins and control effectiveness in the early stages of conceptual and preliminary design, replacing costly trial and error approaches. This capability will not only result in more optimal designs, but will also mitigate the risks associated with the development of future high-speed aircraft by avoiding aeroelastic surprises during flight tests. The documented process shall be rendered robust and repeatable to the point of fast and affordable “on-demand” manufacturing for future commercialization purposes during Phase III. BENEFIT: Commercial applications involve : * Enhanced Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) methods for non-linear fluid structure interactions (unique capability to transition to government and aerospace industry) * Fast wind-tunnel aeroelastic wind-tunnel model manufacturing capabilities that could be generalized to design, validaion, and testing of full scale morphing Uninhabited Air Vehicles ( UAV)

FiveFocal LLC
1600 Range Street Suite 202,
Boulder, CO 80301
(720) 263-6225

PI: Kenneth Kubala
(303) 900-2317
Contract #: FA8650-13-M-1558
University of New Mexico
College of Arts and Sciences, 1 University of New Mexico
Albuquerque, NM 87131
(505) 277-7647

ID#: F12B-T06-0155
Agency: AF
Topic#: AF12-BT06      Awarded: 2/21/2013
Title: Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures
Abstract:  Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data model, and statistical priors on the weight parameters controlling the outputs, but the main drawback of this approach is its use of training sets whose predictive properties are limited by their quality and comprehensiveness. Rigorous physical models, derivable from first principles, for the complete forward problem must constrain the system output in a more realistic, predictable way. All training sets depend on noise and resolution levels which can potentially grossly amplify the errors in predictions or classifications made about an unknown. Physics must be employed to work symbiotically in constraining such errors and thus improve the confidence levels of statistical inferences drawn from conventionally acquired training sets. FiveFocal and the University of New Mexico’s approach has a number of innovative components: innovative physical models, statistical assessment tools, parametric target representation, and a comprehensive sensor simulation facility. BENEFIT: The developments in statistical signature exploitation, physical modeling, and system analysis have significant commercial opportunity beyond the immediate defense application addressed in this proposal as it addresses an approximately $300 M/year commercial market. A long term goal for the sensors, detectors, and optics industry is an end to end simulation and modeling capability that accurately predicts performance of an as-manufactured imaging system, e.g. a robotic vision system for assembly work, or a consumer cell phone camera. Consumer and industrial electronics industries will realize tremendous gains in product development efficiency if improved system modeling can reduce the number of prototype iterations.

G A Tyler Assoc. Inc. dba the Optical Sciences Co.
1341 South Sunkist Street,
Anaheim, CA 92806
(714) 772-7668

PI: David Mann
(714) 772-7668
Contract #: FA9451-13-M-0065
Air Force Institute of Technology
2950 Hobson Way, Bldg. 640 Rm 213
WPAFB, OH 45433
(937) 255-3636

ID#: F12B-T13-0079
Agency: AF
Topic#: AF12-BT13      Awarded: 1/31/2013
Title: Subaperture Adaptive Optics for directed energy phased arrays
Abstract:  The proposed research will develop a method of compensating atmospheric disturbances in the transmitting subapertures of a phased array transceiver operating in the infrared. The aero-optical boundary layer and atmospheric turbulence create phase variations within each subaperture. To compensate these variations, an adaptive optical system will be used in each subaperture. The proposed wavefront sensor is a self-referencing interferometer, and the corrective element is a liquid crystal adaptive optic or other device suitable for use in phased arrays. The beacon for the wavefront sensor is the coherent high energy spot reflected from the target of the phased array. The main innovation in the proposed research consists of techniques to mitigate the corruption in the beacon phase caused by speckle, and other related difficulties associated with using the reflected spot as a beacon. The speckle phase that the phasing system estimates will be used to compensate the speckle phase in the adaptive optics system. BENEFIT: The primary product of this research will be the conceptual design of an adaptive optical (AO) system suited for use in phased array transceivers. This system will be available in future phased array design work to improve the performance of phased arrays as needed. The adaptive optical system will not depend on a particular phased array architecture, but will be available for use with a wide variety of architectures. The primary capability of the AO system will be in correcting the aero-optical boundary layer for airborne phased arrays. The use of the AO system also allows for more efficient configurations of the beam phasing system.

HyPerComp, Inc.
2629 Townsgate Road, Suite 105
Westlake Village, CA 91361
(805) 371-7556

PI: Ramakanth Munipalli
(805) 371-7500
Contract #: FA9300-13-M-1501
Brown University
182 George Street,
Providence, RI 02912
(401) 863-2115

ID#: F12B-T15-0074
Agency: AF
Topic#: AF12-BT15      Awarded: 4/9/2013
Title: New Paradigms in High Pressure Combustion Dynamics Prediction and Control
Abstract:  Stability phenomena that are of vital interest in liquid rocket motor development involve a confluence of diverse physics and interactions across many system components. Any comprehensive, self-consistent numerical model is burdened by a very large computational mesh, stiff unsteady processes which limit permissible time step, and the need to perform tedious, repeated calculations for a broad parametric range. Many simplifications are made to the governing equations based on a-posteriori analysis of these phenomena. Predictive models seem to rely on very large simulations and advanced hardware. Reduced Basis Methods (RBM) have grown in usage during the past decade, as promising new techniques in making very large scale simulations more accessible. These methods create models with far fewer unknown quantities than the original system, by generating “proper” fundamental solutions and their Galerkin projections, while guaranteeing accuracy and computational efficiency. The reduced system involves no new assumptions or simplifications. We will build here a mathematical foundation for efficient RBMs in liquid rocket combustion dynamics. RBM will be extended based on theoretical and empirical insights, and appropriate mathematical and software paradigms will be evolved. HyPerComp will team with the applied mathematics department at Brown University and the computational combustion lab at Georgia Tech. BENEFIT: This work has direct relevance to major ongoing liquid rocket engine programs where stability studies are overwhelmed by the computational problem size, and can benefit from improvements in methodology. The models and methodologies developed here are also directly relevant to solid propellant rockets and gas turbine combustors. The general scope of the methods developed here is indeed rather vast. The reduced basis method has applications in numerous markets: automotive, nuclear, image processing, and atmospheric science to name a few. The project is designed such that success in each technology goal can in itself represent a significant contribution to the state of the art.

i2C Solutions, LLC
686 S. Taylor Ave., Suite 108,
Louisville, CO 80027
(720) 300-8167

PI: Douglas Campbell
(720) 300-8167
Contract #: FA9550-13-C-0024
University of New Mexico
Department of Civil Engineerin, 210 University Blvd NE
Albuquerque, NM 87106
(505) 277-2722

ID#: F12B-T04-0076
Agency: AF
Topic#: AF12-BT04      Awarded: 2/22/2013
Title: A High Performance and Cost Effective Ultra High Performance Concrete
Abstract:  Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage over potential adversaries for both force protection applications as well as to establish methods for defeating adversarial installations constructed from the most advanced forms of UHPC. In response to this need, i2C Solutions, in partnership with the University of New Mexico (UNM) propose to develop an advanced form of UHPC that builds upon recent UHPC research performed at UNM using cost-effective and widely available constituent materials. The team anticipates that the proposed advanced form of UHPC will possess considerably greater compression strength as compared to current UHPC while also possessing significant tensile strength and fracture toughness. BENEFIT: If successful, the proposed UHPC will result in a high performance, highly cost-effective UHPC capable of being utilized in the construction of military test platforms. In addition, the proposed UHPC could see use in the construction of numerous hardened facilities including military installations, civilian government installations and nuclear reactors among numerous others.

IllinoisRocstar LLC
60 Hazelwood Drive, P. O. Box 3001
Champaign, IL 61826
(217) 417-0885

PI: Mark D. Brandyberry
(217) 766-2567
Contract #: FA9550-13-C-0036
Purdue University
Sponsored Programs Services, 155 S. Grant Street
West Lafayette, IN 47907
(765) 494-6117

ID#: F12B-T04-0070
Agency: AF
Topic#: AF12-BT04      Awarded: 3/25/2013
Title: Field Assessment of Materials for Use in Ultra-High-Performance Concrete
Abstract:  IllinoisRocstar LLC and Purdue University propose a framework that enables field assessment of particle size and shape for use in ultra-high performance concrete. We will implement portable scanning approaches for particle size measurement and combine this with high performance computer modeling to optimize altering particle size proportions. Critically, the framework will be implemented to accommodate and maximize the use of local materials. This project will build on recent advancements made in particle size detection, with the goal of deploying a small testing unit that can provide information on particle sizes. Formulating UHPC using indigenous materials requires that the fabricator have the capability to quickly assess the particle sizes and shapes available in local constituent materials, and to evaluate these materials using algorithms that optimize the proportions of these materials to achieve the requisite high density. This project will utilize existing IllinoisRocstar software modules to optimize particle packing and material response for each geographic location, based on the specifics of locally available materials. By taking this approach, fewer materials will need to be ‘shipped in specially’ to formulate a UHPC. This approach can be extended to include fibers and other forms, which can enable toughened UHPC to be formulated and deployed. BENEFIT: IllinoisRocstar LLC and Purdue University propose a framework that enables field assessment of particle size and shape for use in ultra-high performance concrete. We will implement portable scanning approaches for particle size measurement and combine this with high performance computer modeling to optimize altering particle size proportions. Critically, the framework will be implemented to accommodate and maximize the use of local materials. This project will build on recent advancements made in particle size detection, with the goal of deploying a small testing unit that can provide information on particle sizes. Formulating UHPC using indigenous materials requires that the fabricator have the capability to quickly assess the particle sizes and shapes available in local constituent materials, and to evaluate these materials using algorithms that optimize the proportions of these materials to achieve the requisite high density. This project will utilize existing IllinoisRocstar software modules to optimize particle packing and material response for each geographic location, based on the specifics of locally available materials. By taking this approach,

Indiana Microelectronics LLC
1281 Win Hentschel Blvd.,
West Lafayette, IN 47906
(765) 237-3397

PI: Eric E Hoppenjans
(765) 237-3397
Contract #: FA9550-13-C-0031
University of Oklahoma
Office of Research Services, 201 David L Boren Blvd.
Norman, OK 73019
(405) 325-6061

ID#: F12B-T07-0139
Agency: AF
Topic#: AF12-BT07      Awarded: 3/14/2013
Title: Miniaturized, Power Efficient C-band Telemetry
Abstract:  The program will focus on the design and development of a compact, high efficiency C-Band telemetry transmitter. The transmitter will be capable of transmitting in three separate sub-bands. The user will be able to select the band of operation as well as the desired ARTM waveform. LTCC will be utilized with susbsrate integrated components and filters to produce a compact system design. BENEFIT: Compact, power efficient C-Band transmission and high efficiency C-Band power amplification.

Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400
Rockville, MD 20855
(301) 294-5221

PI: Eric van Doorn
(301) 294-5229
Contract #: FA9453-13-M-0057
University of Maryland
University of Maryland,
College Park, MD 20742
(301) 405-3637

ID#: F12B-T02-0132
Agency: AF
Topic#: AF12-BT02      Awarded: 2/19/2013
Title: Standoff Coherent Optical Detection of Acoustic Signals (SCODAS)
Abstract:  Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset distances and these signals can be used in sensing algorithms for detection, location, and discrimination of the activity. Current detection methods rely largely on emplaced sensors (such as geophones). To drastically improve stand-off and surveillance coverage, space-based (or perhaps airborne) surveillance is required. To address this critical need, IAI, along with the University of Maryland, proposes to develop a vibrometry technique for the detection from long range of very small vibrations induced in passive objects exposed to acoustic disturbances. In Phase I, we will use prior work at IAI and UMD to demonstrate the proposed design, and evaluate the feasibility of the proposed approach. BENEFIT: The proposed technology can be applied within DoD for detection and classification of human behavior in underground structures, and for detection and tracking of vehicles, and dismounts. In the law enforcement community the technology could be used for search and rescue, and surveillance.

Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400
Rockville, MD 20855
(301) 294-5221

PI: Yi Shi
(301) 294-4628
Contract #: FA9453-13-M-0062
University of New Orleans
2000 Lakeshore Drive,
New Orleans, LA 70148
(504) 280-1280

ID#: F12B-T09-0115
Agency: AF
Topic#: AF12-BT09      Awarded: 3/26/2013
Title: Robust Decision Tool for Persistent Space Self Defense Systems
Abstract:  Intelligent Automation, Inc. (IAI) proposes to apply a game theoretic approach to design a robust decision making tool for self defense space systems that integrates realistic system models, distributed sensor management, advanced estimation, and tracking techniques. Our approach uses innovative game models to track space objects, analyze their orbits, and provide decision tools for the space surveillance systems with self-defense capabilities. Space systems are a vital component of modern military networks due to the rapidly increased requirements on space situation awareness. A space system should be able to monitor satellites, UAVs, and other aerial objects, and detect adversary behavior. However, current system designs with security considerations for such a system are still very limited. We will incorporate pursuit-evasion game based threat modeling and analysis, active learning of deceptive behavior, nonlinear filters, cooperative sensing for persistent space object tracking by using comprehensive and realistic models of space platforms and service oriented architectures. We will also provide advanced self defense mechanisms based on the levels of threat behavior. Our constructive and computationally efficient approach will support space situational awareness in face of potential adversaries and allow autonomous defense systems to adapt to hostile and uncertain environments with high reliability and robustness. BENEFIT: We have identified the Air Force Space Networks, Air Force Satellite Control Networks and Airborne Networks as the initial application/primary market for this technology. The proposed game theoretic approach enables holistic understanding of how to efficiently utilize the limited observers in a space network to track multiple attackers. Such insights will benefit various applications including space situational awareness, resource allocation, and network adaptation. The proposed solution has tremendous potential in military applications regarding space and airborne networks, such as JSF, FCS, WGS, TSAT, NASA SCaN, SPAWAR, MILSATCOM, UFO, and SBIRS. As a whole, the proposed effort has great potential to facilitate sensor management and object tracking in space networks. Such insights are directly beneficial to various satellite systems with respect to resource allocation and ensuring tracking requirements in terms of accuracy, delay, energy, and overhead. For the proposed game-theoretic design framework with robust decision tools, there exist a variety of commercial applications including satellite communications, GPS,

Intelligent Fusion Technology, Inc
39 Timber Rock Rd,
Gaithersburg, MD 20878
(949) 596-0057

PI: Genshe Chen
(240) 481-5397
Contract #: FA9453-13-M-0059
University of New Orleans
Department of Electrical Engin,
New Orleans, LA 70148
(504) 280-1280

ID#: F12B-T09-0054
Agency: AF
Topic#: AF12-BT09      Awarded: 3/27/2013
Title: SANDGT: a Stochastic Adaptive Nonlinear Differential Game Tool for Persistent and Risk-Averse Space Situation Awareness
Abstract:  Space defense analysis and mission trade studies are vital for the success of space-borne military operation. In this proposal, Intelligent Fusion Technology, Inc (IFT) and its partners propose a decision support tool called stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-advert space situation awareness. The main idea of our approach is to design and numerically solve stochastic adaptive nonlinear differential games, capturing the interactions between friendly satellites systems and adversarial space objects, which may bring radio jamming and interference to normal space communications, or perform orbit maneuvers for collision with in-communication-loop satellites. There are four major components: i) practical game-theoretic modeling with hierarchical structure and three- level dynamics: satellites, sensors, and communication links; ii) versatile information structures with learning algorithms from both pursuer and evader perspectives; iii) numerical and near-optimal solutions to the stochastic adaptive nonlinear games with risk-averse strategies; and iv) Google Earth based multi-view and multi-layer visualization system. This research is built on many IFT’s previous works on dynamic game and application, space communication network, space situation awareness, network security, distributed learning, information fusion, and decision making under uncertainty, etc. BENEFIT: The proposed stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-advert space situation awareness have tremendous applications potential in many military applications. It can be used to protected tactical space communications with dynamic spectrum sharing, routing adaptation and interference mitigations. In addition, some relevant Defense Acquisition Programs within DoD are such as WIN-T – Warfighter Information Network-Tactical, JSTARS – Joint Surveillance and Target Attack Radar System Aircraft, JTRS GMR – Joint Tactical Radio System Ground Mobile Radio, DCGS-N--Distributed Common Ground Station-Navy, DCGS-X (Air Force), DCGS Army (DCGS-A) system. For some of these programs we already have close connections and know considerable program details. The market for military applications is quite large and IFT has successfully transitioned

Lake Shore Cryotronics, Inc.
575 McCorkle Blvd.,
Westerville, OH 43082
(614) 212-1468

PI: David Daughton
(614) 891-2243
Contract #: FA8650-13-M-1559
Wright State University
134 Oelman Hall, 3640 Colonel Glenn Highway
Dayton, OH 45435
(937) 528-8741

ID#: F12B-T08-0003
Agency: AF
Topic#: AF12-BT08      Awarded: 2/27/2013
Title: Terahertz Frequency Materials Testing at Cryogenic Temperatures and in High Magnetic Fields
Abstract:  Terahertz (THz) spectroscopies offer unmatched non-contact probing of low-energy excitations underlying electronic transport and magnetism in a wide range of novel materials. To-date, expensive and complex THz Time Domain Spectroscopy (THz-TDS) systems are the most common THz source used in these studies. Lower cost, continuous wave (CW-THz) spectroscopy systems can offer comparable performance as THz-TDS but with superior spectral resolution. Lake Shore will leverage its existing efforts in coherent CW terahertz emission and detection at cryogenic temperatures to deliver a prototype CW-THz materials characterization platform tailored to the research needs of the AFRL materials community. In Phase I, Lake Shore will collaborate with Wright State University and the University of Arizona to develop and validate material parameter extraction methodologies with CW-THz spectroscopy in cryogenic and high magnetic field environments. Comparisons between Hall, THz-TDS, and CW-THz measurements on known semiconductor and novel materials of interest to AFRL researchers will provide a benchmark and methodology for CW- THz materials characterization. A final report at the end of Phase I will discuss these efforts and outline necessary alterations to the hardware platform and measurement methodologies required for materials of interest as well as additions to CW-THz material parameter extraction algorithms. BENEFIT: Lake Shore’s vision is to provide researchers of novel semiconductor and magnetic materials with a turnkey characterization solution that is affordable, highly capable and readily usable. Affordability is achieved in part over previously complex and costly time-domain systems (THz-TDS) by utilizing emerging, lower cost CW-THz generation and detection. Other benefits include faster examination of novel materials due to non-destructive, non-contact THz characterization; more convenient, higher resolution measurements due to CW-THz over THz-TDS; and new research insights into material properties that will help accelerate the development of the next generation of electronic devices. The viability of using CW-THz for these types of characterizations will be demonstrated in this Phase I project.

LongShortWay
3 Egremont Rd,
Boston, MA 02135
(781) 225-6549

PI: Simon Streltsov
(617) 953-8505
Contract #: FA8650-13-M-1564
Boston University
8 Saint Mary's Street,,
Boston, MA 02215
(617) 353-9880

ID#: F12B-T14-0127
Agency: AF
Topic#: AF12-BT14      Awarded: 3/8/2013
Title: New learning technologies for exploitation of layered sensor data
Abstract:  LongShortWay, Boston University, and Applied Communication Sciences propose developing machine learning technologies that utilize combination of low and high resolution sensors for wide area situational awareness BENEFIT: high confidence detection of activities in a larger area of interest

Luminit, LLC
1850 205th Street,
Torrance, CA 90501
(310) 320-1066

PI: Xiaowei Xia
(310) 320-1066
Contract #: FA8651-13-M-0086
University of California, LA
Dept of Electrical Engineering, University of California, LA
Los Angeles, CA 90095
(310) 825-0915

ID#: F12B-T03-0002
Agency: AF
Topic#: AF12-BT03      Awarded: 2/15/2013
Title: Biomimetic Integrated Optical Sensor Systems
Abstract:  To address the Air Force’s need for a novel advanced imaging sensor concept that samples all of the information in the radiation field, taking inspiration from biological systems, Luminit proposes to develop a new Biomimetic Integrated Optical Sensor (BIOS) system. The system will be based on the unique integration of a wide field-of-view (FOV) miniature staring multi-aperture compound eye with a high-speed, low-cost, polarization and spectral selective liquid crystal (LC) filter array, a focal plane array (FPA), and a neural network processor. The BIOS system will meet the Air Force’s requirements to use most if not all of the information in the light field, including spectral, temporal, polarization, and intensity for detailed object shape, for applications enabling autonomous behavior, including egomotion determination, to aid in navigation; as well as target detection, recognition, ranging, and tracking. In Phase I, Luminit plans to develop a design for a prototype system and analyze the design to demonstrate functionality and feasibility via fabrication of a proof-of-concept prototype. In Phase II, Luminit plans to further refine the system design and produce a deliverable functional prototype with preliminary contractor testing, amenable to further in-depth testing by the sponsor. BENEFIT: The proposed BIOS system will benefit both the government and commercial sectors. The lightweight, low-cost BIOS sensor will have numerous military applications, including incorporation by the Air Force into all aircraft platforms as well as UAV programs for ISR sensors and sensors for autonomous vehicles. The potential commercial applications of the BIOS device include surveillance sensors, and sensors for search and rescue.

Mainstream Engineering Corporation
200 Yellow Place, Pines Industrial Center
Rockledge, FL 32955
(321) 631-3550

PI: Brian Tews
(321) 631-3550
Contract #: FA9550-13-C-0026
University Research Foundation
6411 Ivy Lane,
Geenbelt, MD 20770
(240) 464-3871

ID#: F12B-T12-0107
Agency: AF
Topic#: AF12-BT12      Awarded: 2/15/2013
Title: Development of a Rapidly Deployable Scaled Fighter for Aeroelastic Research
Abstract:  Experimental testing of dynamic models has been performed for more than 50 years and a wealth of data exists for individual models. However, this data is often either restricted as proprietary or is not suitable for CSE tool validation as a result of incomplete model or test information. Mainstream Engineering proposes to design, fabricate, and test a scaled fighter for aeroelastic research utilizing rigorous and robust testing techniques which will guarantee high fidelity data collection for CSE tool validation. Mainstream will assess the merits and deficiencies of various manufacturing processes with respect to fabrication cost, model build and instrumentation time, and testing accuracy and repeatability. In Phase I, Mainstream will design the scaled model along with peripheral components and perform subsonic tests. For a Phase II program, Mainstream will conduct additional testing at transonic conditions after successful CSE validation of subsonic data. Mainstream believes this approach will limit overall program risk by first testing and validating in the subsonic flow regime prior to testing and validating in the transonic flow regime. Design methodology and data collected during these tests will be made publicly available to help validate CSE tools. BENEFIT: While the initial work for this program is for scaled fighter aircraft, the design, fabrication, and testing methods developed are applicable for various aerodynamic bodies, including commercial aircraft, missiles, and unmanned aerial systems (UAS/UAV). This experimental effort addresses these technology needs by providing a set of high fidelity subsonic aeroelastic research data along with design methodology guidelines. Public domain availability of this data set is instrumental in the development of CSE tools, since it will allow single and multi-physics simulation tools to be benchmarked against a common data set.

Mathematical Systems & Solutions, Inc.
685 Busch Garden Dr.,
Pasadena, CA 91105
(626) 818-8642

PI: Edwin Jimenez
(850) 980-6875
Contract #: FA9550-13-C-0021
University of New Hampshire
Sponsored Programs Administrat, 51 College Road, UNH
Durham, NH 03824
(603) 862-0051

ID#: F12B-T05-0069
Agency: AF
Topic#: AF12-BT05      Awarded: 2/13/2013
Title: Real-time Location of Targets in Cluttered Environments
Abstract:  We propose development of an efficient physics-based computational capability for real-time radar location of targets in cluttered environments. Our effort will focus, in particular, on air traffic targets in static natural environments that include dynamic effects such as spinning wind turbines. The proposed methodology models radar signal scattering in cluttered environments on the basis of the time-dependent Maxwell's equations formulated, in a single computational methodology, in terms of 1) Moving- and fixed-domain overlapping computational meshes, as well as 2) The dispersionless Fourier-Continuation method, and 3) A novel methodology for evaluation of computational boundary conditions and long-range propagation at essentially zero cost. BENEFIT: Our effort seeks to provide a software solution for users of simulation tools for which the limitations implicit in existing solvers represent a significant handicap. These include the military, (Navy, Air Force, and Army) as well as commercial concerns (air-framers, space research agencies, remote sensing and medical imaging developers, etc). Thus, there is a significant market for the proposed improved innovative solutions in high-tech industry, and in pursuing the present project MathSys Inc. seeks to cater to that need. Our connections with DoD and industrial scientists, as described below, form the basis of our overall commercialization strategy.

Matrix Research Inc
1300 Research Park Dr,
Dayton, OH 45432
(937) 427-8433

PI: Matt Ferrara
(937) 427-8433
Contract #: FA9550-13-C-0035
Colorado State University
2002 Campus Delivery,
Fort Collins, CO 80523
(970) 491-0537

ID#: F12B-T05-0114
Agency: AF
Topic#: AF12-BT05      Awarded: 4/16/2013
Title: Suppression of Wind Turbine Clutter from Radar Data
Abstract:  It is well known that wind turbine clutter (WTC) presents a significant challenge to detecting targets in civilian and military applications. The large radar cross section (RCS) of wind turbines, combined with their significant range of Doppler spread, make traditional clutter mitigation techniques effectively useless. The objective of this Phase I effort is to develop a physically consistent mathematical model which will accurately characterize the backscattered radar response of wind turbines in a low-order manner amenable to the Phase II signal processing algorithm design. Ultimately, the Phase II objective is to utilize the model developed in Phase I to remove the WTC signature from the data without affecting the delicate response of much lower RCS moving targets such as aircraft. Matrix Research will develop a model that sufficiently characterizes the physics of the clutter yet is simple enough to allow for practical implementation within real-time airborne-target detection algorithm. BENEFIT: The model developed in this effort, along with its associated clutter-mitigation algorithm, will provide a revolutionary new capability for improving detection performance of both existing and future radar assets. This capability is an enabler for a wide range of radar technologies in various business sectors such as defense (e.g., early warning radar), air traffic control, and weather prediction.

Matrix Research Inc
1300 Research Park Dr,
Dayton, OH 45432
(937) 427-8433

PI: Greg Arnold
(937) 427-8433
Contract #: FA8650-13-M-1556
University of California, San Diego
9500 Gilman Dr, Mail Code 0407
San Diego, CA 92093
(555) 123-1234

ID#: F12B-T06-0113
Agency: AF
Topic#: AF12-BT06      Awarded: 3/4/2013
Title: Exploitable Physics for Recognition and Classification
Abstract:  The objective of this effort is to develop innovative methods for deriving a sparse set of physical target features that can be used for exploitation of air to ground signature data collected from sensor systems including electro-optical, infrared, and laser radar. Current classification methods require near exact replication of the original imaging parameters, or extensive modeling in order to generalize the signature to novel operating conditions. By understanding the physical constraints on the target information, one can better construct and refine a classification system. We will show how recent bounds, developed for electromagnetic scattering, work equally well for optical wavelengths, and we propose to use these bounds to develop tools to explore feature salience. BENEFIT: The primary benefit of successful completion of this effort is improved exploitation systems wherein we can explicate why and where features are informative. This capability has numerous commercial applications in various business sectors such as defense, communication, and medical imaging.

Metacomp Technologies, Inc.
28632 Roadside Drive, #255,
Agoura Hills, CA 91301
(818) 735-4880

PI: Sampath Palaniswamy
(818) 735-4880
Contract #: FA9300-13-M-1502
Georgia Institute of Technology
505 Tenth St NW,
Atlanta, GA 30332
(404) 385-2082

ID#: F12B-T15-0146
Agency: AF
Topic#: AF12-BT15      Awarded: 4/15/2013
Title: New Paradigms in High Pressure Combustion Dynamics Prediction and Control
Abstract:  The proposed work aims to build a physics-based rapid turnaround simulation capability for resolving combustion dynamics in liquid rocket engines operating at trans-critical and supercritical flow regimes. The methodology will explore both Reduced-Order Methods and Reduced-Basis Methods as potential candidates for efficient unsteady flow simulation, data storage and retrieval, and data reduction, as well as system identification and transformation of data to information and knowledge to support decision making at all levels. BENEFIT: This capability helps simulate, analyze, and predict combustion dynamics in rocket engines and gas turbine combustors at a computational cost about an order of magnitude less than what is currently needed. The increased efficiency comes with error bounds within tolerance levels that can be specified at run time. The building blocks of this methodology can also be used in data reduction and feature extraction in post processing field data from an unsteady- flow simulation. It has the potential to compress unsteady flow data to manageable levels for storage. In addition, the work will provide a basis for establishing practical means for transformation of data to knowledge to support decision making at all levels.

Metna Co.
1926 Turner Street,
Lansing, MI 48906
(517) 485-9583

PI: Jue Lu
(517) 485-9583
Contract #: FA9550-13-C-0029
Michigan State University
Contract & Grant Adm., Hannah Adm. Bldg.
East Lansing, MI 48824
(517) 884-4258

ID#: F12B-T04-0124
Agency: AF
Topic#: AF12-BT04      Awarded: 3/28/2013
Title: Ultra-High-Performance Concrete
Abstract:  Ultra-high performance concrete (UHPC) materials with outstanding material properties offer significant promise to transform infrastructure design and service life. Evolution of UHPC into a mainstream construction material would benefit from the resolution of issues relevant to the restrictive selections of finer aggregates/fillers, large heat of hydration and thermal stresses, high autogenous shrinkage and cracking potential, controlled thermal curing in field, relatively high initial (raw material/production) cost, and relatively high sensitivity to the chemical and physical attributes of cementitious materials and admixtures. The proposed project is focused on resolving these issues towards reliable and cost-effective production of UHPC infrastructure systems using commonly available materials and hardware. The proposed Phase I project will devise criteria and procedures for selection of UHPC raw materials, development of UHPC mix designs which are tailored towards locally available materials, and reliable, practical and scalable mixing, placement, curing and quality control of UHPC (including the selection of relevant hardware). Laboratory and pilot- scale field experiments will be conducted to refine these criteria/procedures, and validate their enabling role towards practical large-scale production and reliable field construction of major UHPC infrastructure systems. Strategies will be devised for construction of full-size UHPC test structures at Air Force test centers. BENEFIT: Successful accomplishment of the project goals would enable effective use of ultra-high performance concrete (UHPC) towards enhancement of the safety, structural efficiency, durability, sustainability, and initial and life-cycle economy of concrete-based infrastructure systems. The technical efforts to be undertaken in the project would yield specifications for material selection, mix design and practical/economical production of UHPC for use towards field construction of large infrastructure systems. The project would also produce substantial laboratory data and field experience with UHPC, highlighting its advantages in infrastructure applications. Diverse military and civilian concrete-based infrastructure systems would benefit from the use of UHPC; these include structures designed against extreme events (command centers, protective structures/shelters, earthquake-resistant structures, etc.), infrastructure systems subjected to severe exposures (offshore structures, bridges, parking structures, sewer pipes, etc.), runways, radioactive and hazardous waste containment systems, and high-rise buildings.

Metron, Inc.
1818 Library Street, Suite 600
Reston, VA 20190
(703) 326-2838

PI: Jeff Jones
(703) 414-3674
Contract #: FA8650-13-M-1563
Pennsylvania State University
Mathematics and Statistics Dep, 219B McAllister Building
University Park, PA 16802
(814) 863-0444

ID#: F12B-T14-0061
Agency: AF
Topic#: AF12-BT14      Awarded: 3/1/2013
Title: Adaptive multi-sensor wide area situational awareness system - MP 85-12
Abstract:  Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning about geospatial data and activities. This will provide benefit to government situational awareness problems, as well as other organizations interested in geospatial reasoning

MV Innovative Technologies LLC (DBA: Optonicus)
711 E Monument Ave Ste 101,
Dayton, OH 45402
(415) 341-5940

PI: Tom Tumolillo Jr.
(505) 238-1166
Contract #: FA9451-13-M-0064
University of Dayton
300 College Park,
Dayton, OH 45469
(937) 229-2919

ID#: F12B-T13-0128
Agency: AF
Topic#: AF12-BT13      Awarded: 2/6/2013
Title: Scalable Adaptive Fiber-Array Elements (SAFARE) for Directed Energy Phased Arrays
Abstract:  To address the Air Force need for an adaptive optics system using a fiber laser array as the spatial phase correction system within the subaperature of an array of discrete telescopes, Optonicus and The University of Dayton propose the development of a new Scalable Adaptive Fiber-Array Elements (SAFARE) system. The integration of new fiber-array architectures with novel imaging and adaptive optics sensing abilities will allow power scaling and spatial phase control to come together in a new system overcoming obstacles currently preventing the fielding high-energy laser weapon systems in airborne platforms. In Phase I, Optonicus/UD will demonstrate the feasibility of the SAFARE system by developing an architecture that allows subaperature wavefront sensing and fiber-laser based phased conjugation in a new laser array weapons system. In Phase II, Optonicus/UD plan to conduct tests in a laboratory environment to validate the fundamental measurement/correction limits in stressing environments. In Phase III Optonicus will commercialize the technology for dual DoD laser weapons applications and civilian commercial uses. BENEFIT: The Optonicus/UD SAFARE system will enable fielding of a compact high energy laser weapon system in DoD air and ground battle applications. The technology has commercial applications in high energy lasers for industrial cutting and welding, as well as low power applications in free space optical communications.

NextGen Aeronautics
2780 Skypark Drive, Suite 400
Torrance, CA 90505
(310) 626-8384

PI: Dana Howard
(310) 626-8652
Contract #: FA9550-13-C-0032
Virginia Tech
1880 Pratt Drive, Suite 2006,
Blacksburg, VA 24060, VA 24060
(540) 231-5281

ID#: F12B-T12-0016
Agency: AF
Topic#: AF12-BT12      Awarded: 5/1/2013
Title: Characterization of the Aero-Structure Environment of a Transonic Scaled Fighter (CASE-TSF)
Abstract:  NextGen Aeronautics Inc. proposes use of rapid prototyping (RP) technologies, design process improvements, and novel sensing technologies to significantly reduce time and cost of transonic aeroelastic wind tunnel model development and improve their direct correlation to CFD data. The use of modern RP technologies will allow for model design variations such as variable modulus (stiffness) structures, variable surface qualities, direct structural integration, and rapid configuration / OML changes while reducing cost and time by reducing material waste, machine time, and part reduction. Development of a design pipeline leveraging these techniques will further reduce the effort of producing families of models with a range of variable parameters (OML, stores, planform, structural characteristics, etc). Lastly, by incorporating novel sensor technologies both within the model structure and within the tunnel system, correlation of tunnel test data to CFD predictions can be significantly improved. The team will review multiple RP techniques, sensor options, and develop a nominal design pipeline to allow for optimal model development. The final processes and sensors will be utilized to develop a family of models for evaluation and eventual construction. BENEFIT: Currently large aerospace companies and organizations conduct transonic aeroelastic wind tunnel model testing to validate in-house developed engineering tools and FEA/CFD codes. Unfortunately, the tools and data created from these efforts are largely unavailable to the public and academia and the cost of testing remains significantly high for smaller organizations to reproduce. Improvements in fabrication and design of parametrically variable wind tunnel models would allow reduced cost and time in the development and testing of these models, thus putting such testing within their reach. In addition to reducing cost of model design and production, generation of suitable transonic aeroelastic wind tunnel test data within the public domain will directly benefit commercial and academic developers attempting to improve their CFD and CSE tools.

Neya Systems, LLC
12330 Perry Hwy,
Wexford, PA 15090
(724) 799-8078

PI: Michael Happold
(724) 799-8078
Contract #: FA8650-13-M-1562
U. Illinois Urbana Champaign
Office of Sponsored Programs, 1901 South First St Suite A
Champaign, IL 61820
(217) 333-2187

ID#: F12B-T14-0004
Agency: AF
Topic#: AF12-BT14      Awarded: 3/4/2013
Title: Adaptive multi-sensor wide area situational awareness system
Abstract:  Confronted by a vast quantity of data, presented piecemeal, sporadically and at varying levels of detail, the human analyst is often overwhelmed when trying to effectively monitor even medium-sized areas of interest. Offline, there is a wealth of data, resolution, and time to pick through and find activities of interest. Given a large amount of high resolution data, we can simulate situations where we only have low resolution data simply by down-sampling. Our approach to exploiting these data is to impute high level features from low level data by learning the association between low and high in the offline setting. Expert annotation of scenes, direct user input, and a priori knowledge of class structure may be available: we will bootstrap from this information by employing a recently developed form of semi-supervised learning that will also tap into the vast quantity of unlabeled data. At the core of our learning algorithm will be a robust multi-modal, multi- expert classifier. Fed into this classifier will be a novel, advanced activity representation derived from the data through interaction with expert knowledge. Our network management system will ultimately exploit these insights produced by this system at each stage to optimize network performance. BENEFIT: The core of what we develop will be software libraries for creating the advanced activity representation, imputing features and training the classification system; network management software with a user interface; and a well- documented API. This system will be capable off-the-shelf of linking in with existing sensor networks, but also provide the capability to the user to retrain on new data or add in new inputs/annotations/descriptions. We will sell these libraries and interface as a standalone product or as a plugin to already existing data management systems. In these cases, we would typically perform some custom engineering work to integrate the software into the client's specific platform and tailor the system for custom vehicle capabilities or requirements. Each component library of our system has value in itself: the low-to-high resolution feature imputation can be used in any application where the supply of high resolution data is limited; the multi-modal, multi-expert classifier does not require imputed features; and the advanced activity representation is derived separately from interaction of data and annotation/user-input and has application on its own in surveillance applications. Assuming successful completion of a 9-month Phase I and a 24 month Phase II, we would expect that initial sales of the

NorthWest Research Associates, Inc.
4118 148th Ave NE,
Redmond, WA 98052
(425) 556-9055

PI: John Fontenla
(303) 415-9701
Contract #: FA9453-13-M-0063
University of Michigan
Wolverine Tower, 3003 South State Street
Ann Arbor, MI 48109
(734) 647-3705

ID#: F12B-T11-0037
Agency: AF
Topic#: AF12-BT11      Awarded: 2/20/2013
Title: Implementation of real-time high-resolution extended EUV solar spectral irradiance forecast
Abstract:  The objective of this proposal is to achieve an operational capability to produce daily forecasts of the extended extreme ultraviolet solar spectral irradiance (XUV/EUV/FUV SSI, hereafter EUV SSI) by delivering quantitative expectations of the EUV SSI at high-spectral resolution for every day in the period of at least a week after the day the forecast is issued. The forecasted EUV SSI in the range of 0.1 to 170 nm, at resolutions of 0.1 nm and 1 nm, will be issued daily and obtained by using the available near-real-time observations of solar surface features. This forecast will be based on physical models of the solar atmosphere features, the non-LTE radiative transfer computation of the spectra appropriate for them, and near real-time observations of the Sun by various techniques and instruments that determine the area and position on the disk of each feature. Forecasted areas and positions are initially obtained by considering the currently measured and statistical properties of evolution of such features. These far-side data are used to “refine” the forecast by including the changes that occurred on the solar surface in areas that transit from the far-side to the visible solar disk. BENEFIT: Results of this work will allow improving the Air Force space catalog accuracy that is a critical component for space situational awareness. The developed model will be made available to DoD operational centers. Also, in Phase II and III we will develop commercial applications for making our output available to already existing and future prediction applications that provide neutral atmospheric density and satellite drag to commercial operators of satellites whose perigee is below several hundred km. These operators, for instance of Iridium satellites and others to be launched in the future can use the predictions for high accuracy collision avoidance and fuel estimates that will reduce the operating costs. Low Earth orbit (LEO) satellites are often selected because of the reduced cost of putting them in orbit; their operating costs and mission duration are very important considerations. As low orbit becomes more and more crowded by various objects collision avoidance becomes more of an issue; furthermore, liability aspects of satellite re-entry are starting to become an issue. Having a better forecast will significantly reduce the operator’s costs and we anticipate

Nutronics, Inc.
4665 Nautilus Ct. S. STE 500,
Boulder, CO 80301
(303) 530-2002

PI: Jeffrey D Barchers
(303) 530-2002
Contract #: FA9451-13-M-0066
University of California, LA
Office of Industry Sponsored R, 11000 Kinross Avenue Suite 200
Los Angeles CA, CA 90095
(310) 794-0135

ID#: F12B-T13-0092
Agency: AF
Topic#: AF12-BT13      Awarded: 1/29/2013
Title: Intra-Subaperture Adaptive Optical (ISAO) System
Abstract:  Current and projected limitations on the maximum power from a high power single mode fiber laser amplifier impose architectural limitations on a high power phased array laser weapon system. Prior studies strongly indicate that when faced with this limitation the optimal approach is (to borrow the term for Paul McManamon) a Phased Array of Phased Arrays (PAPA) geometry wherein large(r) subapertures are compensated using an Intra-Subaperture Adaptive Optical (ISAO) system within each subaperture, reducing the number of subapertures that must be phased for the full array [Nutronics, Inc. Conformal Laser Weapon System Phase I Final Report – 21 March 2011]. This approach in turn imposes a requirement to compensate for atmospheric aberrations within a subaperture. Our team (comprised of Nutronics, Inc., UCLA, and Optical Physics Company) propose to investigate the trade space of options for ISAO systems and develop a conceptual design for a demonstrator to be developed during a potential follow- on Phase 2 effort. The trade space will include conventional options that utilize a small DM in the subaperture as well as off-loading ISAO wavefront sensor outputs to in-line electro-optic modulators in the outgoing beam path. BENEFIT: The proposed effort has numerous potential benefits and commercial applications, including (but not limited to): laser communication, space situational awareness, astronomical ground based imaging, laser radar, laser rangefinding, aircraft self defense (both commercial and military), air-base defense, ship self-defense, and tactical precision strike.

Optical Sciences Corporation
P.O. Box 8291,
Huntsville, AL 35808
(256) 922-1500

PI: Tommy Cantey
(256) 922-1500
Contract #: FA9550-13-C-0033
University of Alabama Huntsville
Office of Sponsored Programs,, VBRH Suite E12
Huntsville, AL 35899
(256) 824-2530

ID#: F12B-T10-0118
Agency: AF
Topic#: AF12-BT10      Awarded: 3/22/2013
Title: Cryodeposit Mitigation and Removal Techniques for Radiometric Calibration Chambers
Abstract:  Optical Sciences Corporation (OSC) and the University of Alabama in Huntsville’s Center for Applied Optics (UAH/CAO) will demonstrate the feasibility and present a plan for developing optical instrumentation for the monitoring, mitigation, and removal of cryodeposits accumulated on optical and mechanical surfaces in cryogenic-vacuum radiometric calibration chambers. OSC will investigate optically induced desorption of condensed water and other condensed gas constituents from the critical optical and mechanical surfaces. OSC will use short and intense optical radiation as the key to cryodeposit removal through resonant desorption and ablation, with essentially no base substrate residual heating. A strategic partnership with the UAH/CAO will provide extensive experience in optical testing, spectro-polarimetric analysis and testing, and spectral analysis and calibration in cryogenic high vacuum environments. In collaboration with the UAH/CAO, a cryodeposit monitoring system will also be developed and designed in the Phase I. The cryodeposit removal and monitoring systems and proposed technology are designed to meet or exceed the objectives outlined in the STTR AF12-BT10 topic. BENEFIT: There are multiple avenues of commercial potential for a cryodeposit mitigation system apart from space sensor testing applications in cryo-vacuum environments. The obvious system commercial sales are to similar space simulation chambers such as those operated by NASA, Raytheon, Ball Aerospace, Kinetic Kill Vehicle-in-the-Loop Simulator (KHILS), Johns Hopkins University Applied Physics Lab, MIT Lincoln Labs, Alliant Techsystems, Inc (ATK). These needs could easily be serviced through a successful completion of the Phase II research and hardware demonstrations. OSC has identified two subsystems of the proposed approach that can be spun-off into commercial sales. The resulting laser product could have valuable utility in biological, medical, laboratory science, and military illumination applications; high efficiency water ablation and desorption; supercontinuum generation, optical communications, industrial processing, and ultrashort MWIR phenomena. The resulting spectrometer product could have valuable utility in spectroscopy, gas analysis, chemical detection, lidar, remote sensing, and IR spectral analysis.

Physical Sciences Inc.
20 New England Business Center,
Andover, MA 01810
(978) 689-0003

PI: David B. Oakes
(978) 689-0003
Contract #: FA9550-13-C-0027
The University of Tennessee
Space Institute, 411 B H Goethert Parkway
Tullahoma, TN 37388
(931) 393-7213

ID#: F12B-T10-0108
Agency: AF
Topic#: AF12-BT10      Awarded: 2/15/2013
Title: Development of an Innovative System for Cryodeposit Mitigation and Redmediation
Abstract:  Physical Sciences Inc. (PSI) and the University of Tennessee Space Institute (UTSI) propose to develop an innovative system to measure and control the cryodeposit layer thickness that develops on cold surfaces in cryogenic radiometric calibration chambers. The system includes: 1) an in-situ, interferometric-based instrument to monitor the cryodeposit layer thickness, 2) a mitigation system to inhibit the growth of cryodeposits on key system components, and 3) a remediation system based upon a photodesorption process to remove the cryolayer before it substantially impacts the optical performance of key components of the calibration chamber. The goal of the Phase I program is to characterize the performance of both mitigation and remediation approaches. UTSI will measure the growth rate of water-ice films in a cryogenic vacuum chamber to characterize the effectiveness of a controlled electric field-based mitigation technology. PSI will measure the water-ice desorption rate from cryogenic surfaces as a function of ultraviolet and infrared illumination source characteristics. These results will be compared to quantitative performance metrics developed with the Air Force to design the Phase II prototype system. The prototype cryodeposit mitigation/remediation system will be further refined and the system will be tested in the laboratory during the Phase II program. BENEFIT: The proposed cryodeposit mitigation/remediation system will provide the aerospace industry with a new, innovative tool that will substantially increase the productivity of cryogenic radiometric calibration chambers by reducing maintenance activities currently required to ameliorate the effects of cryodeposit layers that form on optical surfaces during cryogenic calibration activities. The proposed cryodeposit mitigation/remediation system will therefore substantially reduce both the duration and cost of cryogenic radiometric calibration chamber test activities.

Picometrix LLC
2925 Boardwalk,
Ann Arbor, MI 48104
(734) 864-5605

PI: David Zimdars
(734) 864-5639
Contract #: FA8650-13-M-1560
NJIT
350 Fenster Hall, 323 King Blvd
Newark, NJ 07102
(973) 596-8449

ID#: F12B-T08-0035
Agency: AF
Topic#: AF12-BT08      Awarded: 2/28/2013
Title: Compact, Low-Cost THz Test System
Abstract:  In this Phase I STTR project, we propose to demonstrate the feasibility of developing a low cost, compact, time-domain terahertz (TD-THz) spectrometer specifically for the characterization of semiconductor materials over a range of temperatures, electric fields, and magnetic fields. In phase I, we will configure fiber optic coupled TD-THz instrumentation to make measurements on a sample using a commercial, off the shelf (COTS) optical cryostat and with variable electrical and magnetic field. We will specify analysis methods to determine relevant semiconductor parameters such as doping concentrations and carrier mobility from the THz spectral data. We will demonstrate these methods by collecting and analyzing the THz spectra of representative semiconductor samples as a function of temperature, electric field and magnetic field. In this Phase I STTR project, we propose to demonstrate the feasibility of developing a low cost, compact, time-domain terahertz (TD-THz) spectrometer specifically for the characterization of semiconductor materials over a range of temperatures, electric fields, and magnetic fields. In phase I, we will configure fiber optic coupled TD-THz instrumentation to make measurements on representative semiconductor samples using a commercial, off the shelf (COTS) optical cryostat and with variable electrical and magnetic field. We will specify analysis methods to determine relevant semiconductor parameters such as doping concentrations and carrier mobility from the THz spectral data. We will demonstrate these methods by collecting and analyzing the THz spectra of representative semiconductor samples as a function of temperature, electric field and magnetic field. We will develop the specifications for a Phase II prototype TD-THz test system using fiber optic coupled THz instrumentation and components for automatically acquiring the THz spectral data under the relevant conditions. The fiber optic THz transmit and receive modules would be integrated into a sample cryostat with variable electric and magnetic field.rade offs in features, size, weight, and cost will be discussed. BENEFIT: Upon successful completion of the Phase II project, the proposed TD-THz spectrometer will provide a turn-key system for the determination of semiconductor electronic and optical properties such as doping concentration and carrier mobility. The instrument will acquire TD-THz spectra from 0.1 to >3THz. The sample under test may be measured at a wide range of cryogenic temperatures, electric fields, and magnetic fields. The instrument will employ software which

Quasonix, LLC
6025 Schumacher Park Drive,
West Chester, OH 45069
(513) 346-2060

PI: Terrance J. Hill
(513) 346-2060
Contract #: FA9550-13-C-0030
Univ. of Kansas Center for Research
2385 Irving Hill Rd.,
Lawrence, KS 66045
(785) 864-3444

ID#: F12B-T07-0013
Agency: AF
Topic#: AF12-BT07      Awarded: 3/14/2013
Title: Miniaturized, Power Efficient C-band Telemetry
Abstract:  The overall program objective is to utilize the best available technologies to successfully develop the concept and design of a state of the art C-Band telemetry transmitter that meets or exceeds the performance qualification parameters and size constraints detailed in the AF12-BT07 solicitation. Specifically, the objective of the entire two-phase program is to develop, test, and deliver flight-capable prototypes of our 2.0 and 1.3 cubic inch transmitters that operate in C-band. BENEFIT: Reductions and reallocations of telemetry spectrum have forced the DoD test ranges to adapt to operation in more restricted and less desirable frequency spectrum. Telemetering systems must evolve to address these frequency allocation changes, while retaining operational characteristics that are vital to mission success. The design and implementation of miniaturized, power efficient telemetry transmitters capable of operation across the three C-Band frequency ranges (4400-4950, 5091-5250, and 5925-6700 MHz) would provide a substantial contribution to the successful migration towards mandated telemetry spectrum allocation changes. The proposed effort leads to precisely this end result.

Remcom Inc.
315 S. Allen St., Suite 416
State College, PA 16801
(814) 861-1299

PI: Gary Bedrosian
(814) 861-1299
Contract #: FA9550-13-C-0023
University of Oklahoma
2101 David L. Boren Boulevard, Three Partners Place, Ste 150
Norman, OK 73019
(405) 325-6036

ID#: F12B-T05-0109
Agency: AF
Topic#: AF12-BT05      Awarded: 2/13/2013
Title: Real-time Location of Targets in Cluttered Environments
Abstract:  A high-fidelity computational electromagnetic solution will be developed that directly solves Maxwell’s equations in order to calculate radar returns from complex, electrically large objects in motion, such as wind turbines with rotating blades. The solution will include propagation effects from terrain and atmosphere, multipath between object parts, and the details of interior and exterior construction to capture all critical aspects of scattering from objects constructed of thin, dielectric materials. Hardware acceleration and parallel-processing capabilities will be incorporated to ensure efficient execution of simulation sets used to characterize the dynamic nature of the radar returns. Simulated returns will then be used in concert with measured returns to train an innovative and adaptive signal processing methodology which can then be used in real-time to mitigate the clutter impacts with the objective of improving probability of detection. The final solution will be a knowledge-aided, site-specific process, that can take advantage of known object locations and measured or simulated radar clutter returns to improve radar performance in the presence of complex cluttered environments. BENEFIT: The outcome of this STTR will be a comprehensive capability to mitigate complex radar clutter through two complementary capabilities: (1) an end-to-end simulation tool that can predict the impact of wind turbines and other complex structures on radar returns with high fidelity, and (2) an adaptive signal processing solution that mitigates wind turbine clutter, and can be trained by a combination of measured data and results from the simulation tool. This has the potential to significantly benefit air traffic control and air force radar installations, by improving their ability to detect aircraft in the presence of such clutter. Over time, the existence of such capabilities may also help to allow proposed wind farm projects that would have previously been denied due to the concern of potential radar interference, to now be allowed to proceed with radar mitigation technology in place to prevent adverse impacts. Finally, a new, high-fidelity radar scattering modeling and simulation capability will provide a new tool for engineers in the radar community to assist with predictions of effectiveness in the presence of complex terrain, atmosphere, and clutter conditions.

SA Photonics
130A Knowles Dr., Suite A
Los Gatos, CA 95032
(970) 778-2353

PI: Jim Coward
(415) 977-0553
Contract #: FA8650-13-M-1561
University of New Mexico
1 University Blvd. Northeast,
Albuquerque, NM 87131
(505) 272-7842

ID#: F12B-T08-0082
Agency: AF
Topic#: AF12-BT08      Awarded: 2/21/2013
Title: Compact, Low-Cost THz Test System
Abstract:  There has been a growing interest and increased R&D activities in applying THz technology to biomedical, security, communications and science/manufacturing imaging, etc. However, even with all these research activities, there are very limited choices of test and measurement instruments in the THz range. Despite wide availability of RF/microwave (below THz) and optical (above THz) network analyzers, there is no commercial network analyzer product that covers the THz band. SA Photonics is pleased to propose the development of a tunable, broadband and high dynamic range THz Network Analyzer (TNA). The TNA will be constructed based on SA Photonics PDM and TAR technologies. The SA Photonics TNA will provide wide bandwidth, high signal dynamic range, precision frequency response measurements, wide operating temperatures, compact, rugged, reliable and low cost. BENEFIT: SA Photonics will base on our PDM and TAR technologies to develop a tunable, broadband and high dynamic range THz Network Analyzer. The SA Photonics TNA will provide wide bandwidth, high signal dynamic range, precision frequency response measurements, wide operating temperatures, compact, rugged, reliable and low cost.

Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000,
Woburn, MA 01801
(781) 933-5355

PI: Aleksandar Zatezalo
(781) 933-5355
Contract #: FA9453-13-M-0061
University of Illinois at Urbana-Ch
College of Engineering, 1308 West Main Street
Urbana, IL 61801
(217) 244-0907

ID#: F12B-T09-0064
Agency: AF
Topic#: AF12-BT09      Awarded: 3/22/2013
Title: Game-Theoretic Space Situational Analysis Toolbox (GaTSSAT)
Abstract:  By considering multiple space-based teams of cooperative and/or uncooperative players with varying orbital geometries and defense/offense capabilities such as sporadic observations, jamming confrontations, and sparse communications, the main challenges in derivation of effective decisions for autonomous space systems are: (a) development of effective game models and game training algorithms; (b) derivation of efficient techniques for distributed learning in challenging scenarios; (c) derivation of multi-player cooperative strategies in persistent area denial; and (d) developing algorithm performance assessments for evaluating and further development of algorithm robustness. To effectively address these challenges, Scientific Systems Company, Inc. (SSCI) team that includes Professor Dušan Stipanovic and Professor Tamer Basar from the University of Illinois at Urbana-Champaign (UIUC), proposes to develop Game-Theoretic Space Situational Analysis Toolbox (GaTSSAT) algorithms and methods based on recent advancements in stochastic game theory, multi-agent and multi-goal game methods, multi-objective control strategies, multi-player confrontation learning algorithms, and optimal Space Situational Awareness (SSA) estimation methods. The proposed Phase I proof-of- concept development includes: (i) novel game-theoretic control designs; (ii) prototype software algorithms; and (iii) simulation testbed and performance metrics. Phase II and III will include further development for transition into real-time systems and commercialization. BENEFIT: Effective game decision models and efficient computational algorithms for deriving optimal strategies are important technologies for effective Space Situational Awareness and decision making in complex Earth orbit environments with important military and commercial applications that include air traffic control, commercial space operations, asset protection, surveillance, and security systems. The military applications include space and Earth surveillance, ballistic missile defense, targeting, and communications. The proposed Game-Theoretic Space Situational Analysis Toolbox (GaTSSAT) technology will improve the current capabilities and bring new capabilities to military decision makers that have to operate with partial information in highly dynamic environments with multi-level confrontations. Homeland security and law enforcement will also benefit from GaTSSAT technology. Commercial applications exist in areas such as natural disaster management, robotics, medical industry, and manufacturing processes.

Spectral Energies, LLC
5100 Springfield Street, Suite 301
Dayton, OH 45431
(937) 266-9570

PI: Sukesh Roy
(937) 255-3115
Contract #: FA9300-13-M-1503
University of Houston
617 Science & Research Bldg. 1,
Houston, TX 77204
(713) 743-3550

ID#: F12B-T15-0060
Agency: AF
Topic#: AF12-BT15      Awarded: 6/3/2013
Title: Spatiotemporal Nonlinear Data Analysis Tools and Reduced Order Models for Prediction of High-Pressure Reacting Flow Dynamics and Control
Abstract:  This Phase-I research effort is designed to forward the engineering investigation of the dynamics and control of turbulent combustion in high-pressure combustion systems by developing a set of game-changing nonlinear analysis tools that can significantly improve the post-processing speed and intelligent data mining of large numerical or experimental data sets. Moreover, a system based on nonlinear dynamical phase-space analysis (such as Chaos Theory) will be explored for reduced order modeling, devising control strategies, and providing quantitative information for system identification and comparison. The specific objectives of this effort are: (1) Remove noise from large data sets and reduce the quantity of data needed to be further analyzed by separating the noise from nonlinear dynamics, (2) Remove redundant information from large sets of data, (3) Identify dynamically significant information within a very short amount of time to enable scientists and engineers to quickly understand the underlying physics and control the spatio- temporal dynamics, (4) Develop a set of dynamical invariant tools to extract underlying physics from high-pressure combustion systems and compare experimental and numerical data in a solid quantitative manner, and (5) Develop reduced order model (ROM) and devise control strategies by exploiting the POD-based or wavelet-based dynamical system as they evolve in a reconstructed phase space. BENEFIT: This research effort on the development nonlinear spatio-temporal data analysis tools would allow investigation of turbulent reacting flow phenomena in a real-time basis. This tool set should also allow devising intelligent control strategies through reduced order modeling for the development of intelligent engines and will have a major impact on understanding of high-speed time-evolving phenomena related to ignition, flame growth, and stability in high-pressure combustors. Hence, this research effort along with methods to analyze high-speed planar and tomographic images will make the concept of real time sensing and control of combustion phenomena a reality. The proposed software system could be easily integrated with any on-board sensing and control system, which would have a significant impact on engine health and stability for the war fighter. The software system should be applicable for any high-bandwidth experimental or numerical data, and as such will have a very broad commercial application covering most of the Universities, Government laboratories, engine companies, etc. Furthermore, renewed interest in diverse and alternative

Spectral Imaging Laboratory
1785 Locust St. #10,
Pasadena, CA 91106
(626) 578-0662

PI: Francis Reininger
(626) 578-0626
Contract #: FA8651-13-M-0085
University of Arizona
Department of Neuroscience, 1040 E 4th Street, G-S Rm 611
Tucson, AZ 85721
(520) 621-6629

ID#: F12B-T03-0027
Agency: AF
Topic#: AF12-BT03      Awarded: 2/19/2013
Title: Biologically-inspired Integrated Vision System
Abstract:  The U.S. Air Force has a need to develop a new class of advanced, wide field of view (WFOV) imaging sensors that sample the radiation field in multiple modes: spectral, temporal, polarization, and detailed object shape. These multimodal sensors are to be deployed on high altitude drones to enhance their intelligence, surveillance, and reconnaissance (ISR) capabilities. Smaller versions of the sensor are to be integrated with autonomous micro-air vehicles (MAV) to provide guidance, navigation, control and motion detection information within cluttered environments. The Spectral Imaging Laboratory (SPILAB) has teamed with the University of Arizona's Department of Neuroscience and College of Optical Sciences to investigate the development of the new sensor, taking inspiration from biological systems. The proposed optical portion of the sensor will combine the WFOV, multimodal compound eye attributes of mantis shrimps with the high resolution single aperture attributes of jumping spiders. The proposed neuromorphic processing portion of the sensor will be designed on the basis of known functional connections in the visual brain areas of insects and crotalid snakes. The integrated system is expected to provide high-speed motion detection, targeted distance information and camouflage deciphering against a cluttered background in daylight or darkness. BENEFIT: The proposed multimodal integrated vision system can provide the US Air Force with enhanced intelligence, surveillance, and reconnaissance capabilities on various aircraft. The wide angle optics coupled to a fast neuromorphic focal plane can enhance the guidance, navigation and control of seekers and autonomous vehicles. Commercial applications include surveillance, robotics, machine vision, and high end automobile collision avoidance systems, which can benefit from motion sensing, autonomous navigation, and distortion free, wide angle viewing without the need for focus adjustment.

Tanner Research, Inc.
825 S. Myrtle Ave.,
Monrovia, CA 91016
(626) 417-9778

PI: Pat Shoemaker
(626) 471-9700
Contract #: FA8651-13-M-0089
University of Maryland
College Park,
College Park, MD 20815
(301) 405-0325

ID#: F12B-T03-0156
Agency: AF
Topic#: AF12-BT03      Awarded: 3/4/2013
Title: Biologically-inspired integrated vision systems
Abstract:  Tanner Research, Inc., in collaboration with University of Maryland, will determine feasibility and plan for development of technology based on insect visual sensing and processing, which will integrate three modes related to navigation and guidance: motion detection from imaging sensing; polarization sensing and processing to implement a celestial compass; and ocellar sensing and processing for fast attitude estimation. The implementation technology (analog CMOS front end) will be consistent with the requirements of miniature to micro-sized, autonomous/semi-autonomous air vehicles (MAVs), and the context will be vision-based flight control. Circuit models of sensing and processing will be jointly optimized with a wide-field integration (WFI) control approach. Phase II goal will be a full demonstration in an unconstrained, natural environment. BENEFIT: This work will provide a milestone in the development of autonomous/semi-autonomous MAVs, which will ultimately enable pervasive and unobtrusive intelligence, surveillance, and reconnaissance, removing troops from harm’s way and vastly improving US capabilities against insurgent / guerilla warfare.

Toyon Research Corp.
6800 Cortona Drive,
Goleta, CA 93117
(805) 968-6787

PI: Matthew J. Buoni
(805) 968-6787
Contract #: FA9453-13-M-0058
Univ. of California, Santa Barbara
Office of Research, 3227 Cheadle Hall
Santa Barbara, CA 93106
(805) 893-8809

ID#: F12B-T02-0142
Agency: AF
Topic#: AF12-BT02      Awarded: 1/16/2013
Title: Low Level Signal Detection for Passive Electro-Optical Space-based Surveillance
Abstract:  Toyon Research Corporation and the University of California, Santa Barbara (UCSB) are proposing development and feasibility demonstration of advanced algorithms for the detection of vibration signatures in scattered light. The algorithms are being developed for applications including space-based electro-optical (EO)/infrared (IR) sensing at high frame rates and extremely low signal-to-noise ratios (SNRs). Toyon-UCSB are proposing both detailed modeling and simulation of the signals measured by the space-based EO/IR sensors, as well as implementation, demonstration, and evaluation of advanced noise reduction and detection algorithms. The proposed algorithms are based on principles from Track-before-Detect (TrbD), implemented via nonlinear particle filtering techniques, and are designed to near- optimally integrate information from high-frame-rate EO/IR sensors to provide improved effective SNRs at the detection stage, enabling high-confidence detection decisions, with reduced latency. In this novel application of particle filters for low level signal detection, the filter is designed to exploit the particular physical signature (temporal vibration) of the object of interest. Phase I R&D will include signal and sensor modeling, signal processing algorithm development and evaluation, and development of a recommended Phase II prototype architecture. BENEFIT: The successful completion of this R&D will ultimately result in advanced algorithms and a real-time software implementation for detection of extremely dim modulated signals from space-based EO/IR sensor platforms. Additional applications include airborne- and ground/surface-based sensing onboard manned and unmanned platforms. The proposed technology has the potential to enable detection of target signals which were previously not exploited due to the low level of the signals, due to signal scattering and/or long sensor-target standoff ranges. Thus, the proposal technology has applications in counter-terrorism, law enforcement, and a variety of civilian applications, in addition to many military applications.

Vintinura Imaging, Inc.
75 Fifth Street NW, Suite 330,
Atlanta, GA 30308
(404) 625-0541

PI: Navdeep Dahiya
(608) 373-4090
Contract #: FA8650-13-M-1557
Georgia Institute of technology
Georgia Institute of Technolog, North Ave.
Atlanta, GA 30332
(404) 894-2901

ID#: F12B-T06-0147
Agency: AF
Topic#: AF12-BT06      Awarded: 4/15/2013
Title: Physically customized DEFORMOTION models for electro-optic sensor data
Abstract:  In the field of computer vision, extraction of features from sensor data (EO/IR) is critical for inference tasks including target object detection, recognition, classification, segmentation and tracking. The objective of this proposal is to propose computation deformotion models that incorporate various physical properties of scene objects, particularly passenger vehicles. Layered deformotion algorithms are model-based image analysis algorithms that account for both geometric (shape and motion) as well as radiance features of scene objects. These models however, do not account for nuisance factors in radiance models, which cause mismatch between object appearance. This proposal aims to incorporate mathematical heat diffusion models for materials typically used in vehicles, in the radiance features of deformotion models. This proposal further aims to investigate other physical properties of passenger vehicles that can be incorporated into the layered deformotion models to model and mitigate the radiance model related nuisance factors, leading to more robust performance of geometric shape and appearance matching algorithms. BENEFIT: The proposed research will provide concrete mathematical models for incorporating mathematical models based on physical properties of passenger vehicles. These models will enable testing on real-world data in phase - II and eventually development of software applications useful for recognition related tasks. These applications could then be deployed for perimeter security of important buildings and installations, in Unmanned Grround and Aerial Vehicles and would be useful in both civil and defense applications.

Wave CPC Inc
256 93rd Street,
Brooklyn, NY 11209
(718) 836-0045

PI: John Steinhoff
(931) 455-1678
Contract #: FA9550-13-C-0020
University of Michigan
1301 Beal Avenue, Room 3420,
Ann Arbor, MI 48109
(734) 647-1793

ID#: F12B-T05-0045
Agency: AF
Topic#: AF12-BT05      Awarded: 2/22/2013
Title: Real-time Location of Targets in Cluttered Environments
Abstract:  The purpose of this STTR project is to develop a mathematical tool to simulate EM scattering in a cluttered environment. The main sources of clutter included are periodic scattering from windmills, reflections from fixed topography and effects due to varying atmospheric properties. BENEFIT: Increase radar capability to detect targets over wind farms.

Wavefront
7 Johnston Circle,
BASKING RIDGE, NJ 07920
(609) 933-3543

PI: Jie Yao
(609) 558-4806
Contract #: FA9453-13-M-0056
Utah State University / SDL
USU Research Foundation, 1695 North Research Park Way
North Logan, UT 84341
(435) 757-8794

ID#: F12B-T02-0123
Agency: AF
Topic#: AF12-BT02      Awarded: 2/6/2013
Title: Space-based Passive Night Vision Vibrometer
Abstract:  Remote sensing of surface vibration is an important modality of measures and signals intelligence (MASINT) with a wide range of military applications including target discrimination, clutter rejection, analysis of engine signatures, and seismic detection of buried threats. Other applications of remote vibrometry include remote acoustic sensing, aerial sonar, structural damage assessment, and vehicle classification. Previously, vibration-sensing MASINT has been practiced using active or in-situ sensors such as remote laser vibrometers or embedded piezo sensors with attendant limitations for distant and uncooperative targets. Recently, it has been recognized that surface vibration can be detected by truly passive (and therefore undetectable) optical sensors provided that the signal to noise ratio (S/N) of the optical response is sufficiently high. The proposed Photon-Counting Integrated Circuit (PCIC) detector and imager is promising for such a high-S/N passive sensor suitable for many of the vibration-sensing MASINT applications. During Phase I, the team will develop and validate the vibrometer system architecture, and design, fabricate, test and characterize Si PCIC detector at unique parameters suitable for the space-based night vision vibrometer system. For Phase II and Phase III, the team will integrate the fabricated PCIC and design, assemble, test and demonstrate the vibrometer system. BENEFIT: Besides defense applications including the space-based vibrometer, night vision under star light, covert illumination and / or the more abundant natural night glow for military surveillance and target recognition, the proposed PCIC technology also finds commercial applications in architectural structure analysis, security, law enforcement, border patrol, scientific instruments, laser detection, laser eye protection, biomedical imaging, prosthetic vision aid, ecosystem monitoring and protection, manufacturing quality control and consumer electronics cameras.

---------- DARPA ----------

Advanced Liquid Logic Inc.
615 Davis Drive, Suite 800,
Research Triangle Pa, NC 27560
(919) 287-9010

PI: Brent Lutz
(919) 287-9010
Contract #: D13PC00034
Stanford University
340 Panama Street,
Stanford, CA 94305
(650) 725-3707

ID#: D12B-003-0017
Agency: DARPA
Topic#: ST12B-003      Awarded: 1/28/2013
Title: Droplet-Based Automation of Complex Workflows for Synthetic Biology
Abstract:    Large-scale genome engineering represents a broad group of technologies, all of which stand to impact the manufacturing of a range of biological and chemical products. While the power of these methods to increase the production of biologically-driven manufacturing processes has been previously demonstrated, they are often developed and optimized toward a single target, or single methodology. Currently, an automation platform does not exist that enables a broad range of genome engineering methods directed towards a diverse range of biomanufactured products. Advanced Liquid Logic (ALL) has developed digital microfluidics, a highly flexible, software programmable liquid handling technology. ALL has demonstrated that this technology is capable of automating a range of bioassay workflows using relatively straightforward device designs and fabrication methods. During this program leaders in genome engineering will be engaged to help identify requirements; technology gaps and potential solutions to enable greater flexibility and capability will be evaluated; and system performance will be analyzed and benchmarked to other methods. The goal of this proposal is to lay the groundwork for the development, in Phase II, of a highly-flexible and less constrained digital microfluidic device, potentially using more advanced fabrication methods, for synthetic biology applications.

Aptima, Inc.
12 Gill Street, Suite 1400
Woburn, MA 01801
(781) 496-2443

PI: Harold Figueroa
(781) 496-2467
Contract #: D13PC00035
University of Maryland
3112 Lee Building,
College Park, MD 20742
(301) 405-6274

ID#: D12B-002-0024
Agency: DARPA
Topic#: ST12B-002      Awarded: 1/28/2013
Title: Signatures of Interacting Groups via Network Attributes Learning (SIGNAL)
Abstract:    The analysis of interactions within social media has received significant attention in recent years with respect to cybercrime prevention, online marketing, counter-espionage, political opinion trending, and intelligence analysis. However, while detailed study of these interactions might lead to powerful insights, the sheer quantity of data generated via social media makes manual analysis infeasible. Current automated methods for profiling actors in on-line environments rely too heavily on the behaviors of those actors alone. Given the function of social networks to foster communities of practice around all types of activities—including anti-social activities—the behaviors of groups and dynamics of those behaviors should be leveraged to increase the accuracy of identifying hostile actors. Aptima proposes to develop an automated tool for detecting Signatures of Interacting Groups via Network Attributes Learning (SIGNAL). Our solution combines strong theoretical foundation in social group and role theories with statistical network inference algorithms. When fully developed, SIGNAL will provide intelligence analysts with a powerful analysis tool that (1) contains a theory-grounded library of online behavior patterns; (2) performs learning of group behavior patterns from data; (3) executes efficient queries over large social media datasets to find hidden groups; and (4) provides easy-to-use interactive network inference visualizations.

Ceres Nanosciences
10900 University Blvd.,
Manassas, VA 20110
(800) 615-0418

PI: Amos Freedy
(800) 615-0418
Contract #: D13PC00036
George Mason University
4400 University Drive, MSN 4C6
Fairfax, VA 22030
(703) 993-2988

ID#: D12B-001-0029
Agency: DARPA
Topic#: ST12B-001      Awarded: 1/28/2013
Title: Advanced Materials and Methods for Biospecimen Collection for Infectious Disease
Abstract:    There is an urgent need for simple, reliable and effective tools for improved biospecimen collection, preservation and extraction of low-abundance analytes for improved detection and diagnostic assays. To address the DoD’s need for clinical and field deployable biospecimen collection materials for infectious diseases, Ceres Nanosciences (Ceres) in collaboration with GMU’s National Center for Biodefense and Infectious Diseases propose to develop rapid Nanotrap extraction methods and ambient temperature storage solutions for improved collection and recovery of respiratory viruses. In Phase I, Ceres will build upon successful preliminary results, which demonstrate Nanotrap-enabled sequestration, concentration and nearly complete yield of fully infectious respiratory viruses, by optimizing key Nanotrap architecture parameters, extraction methods and collection protocols. A prototype field kit for live virus capture will be produced and performance data will be collected for at least four common respiratory infections.

Covitect Inc.
1120 Atlantis Ave,
Lafayette, CO 80026
(352) 328-4444

PI: Brent Lutz
(352) 328-4444
Contract #: D13PC00038
University of Florida
339 Weil Hall, PO Box 116550
Gainesville, FL 32611
(352) 392-9447

ID#: D12B-003-0037
Agency: DARPA
Topic#: ST12B-003      Awarded: 1/28/2013
Title: Automated Approaches to Cellular Engineering and Biomanufacturing
Abstract:    Genome-scale predictable cellular design and engineering of biomanufacturing systems is the overarching a goal of DARPA’s Living Foundry thrust and, if realized, will enable rapid engineering of living biosystems for a broad range of applications in biotechnology and pharmacology. However, constructing living cells with designed genome is not fully automated and is severely limited by inherent challenges in engineering biological systems – replicability and reproducibility - which are lagging behind due to a vast diversity of the complex networks of bioreactions involved. Parameters of such reactions (reaction pathways and kinetics) need to be established for targeted environments in order to achieve robust predictability of transfer functions in the living foundry design. To achieve such predictability, Covitect and its partners propose to use array of multiplexed in-vitro membrane-microreactors interfaced with assays, which emulate cell environment and allow the rapid study of complex reaction networks in a controlled environment with excellent reproducibility, high throughput and low cost. The end goal of the proposed effort is to develop an automated in-vitro synthetic biology analysis toolset for establishing parameters (i.e, “transfer functions” in the Living Foundry terms) of a large number of bioreactions that will enable predictable and reproducible cellular design and engineering.

HJ Science & Technology, Inc.
187 Saratoga Avenue,
Santa Clara, CA 95050
(408) 464-3873

PI: Michael Pollack
(925) 766-3997
Contract #: D13PC00039
Lawrence Berkeley Nat'l Laboratory
One Cyclotron Road, 971-SP
Berkeley, CA 94720
(510) 486-6273

ID#: D12B-003-0009
Agency: DARPA
Topic#: ST12B-003      Awarded: 1/28/2013
Title: An automated and programmable microfluidic platform for combinatorial gene assembly and biosynthesis applications
Abstract:    HJ Science & Technology (HJS&T) and the Joint BioEnergy Institute (JBEI) propose to develop an automated, software-controlled, programmable, low-cost, and compact platform capable of running rapid and complex bioengineering processes and optimization of new biomanufacturing systems. Our approach combines the microfluidic automation technology of HJS&T with the novel synthetic biology technologies of combinatorial gene library generation, host transfection, and gene product screening at JBEI. Compared with conventional approaches, the integrated microfluidic technology has these advantages: 1) on-chip automation, eliminating the need for bulky and expensive sample handling robots, 2) small volume, reducing reagent consumption, and 3) multifunctional integration on a microchip level. In Phase I, we will establish the feasibility of the microfluidic automation technology by performing 1) construction of a combinatorial library of Green Fluorescent Protein and Red Fluorescent Protein gene expression cassettes, and 2) subsequent transformation into yeast cells/chromosomal integration and screening of expression products, on the same microfluidic chip in a fully automated format. In Phase II, we will realize a fully automated and programmable platform for the biological design-build-test cycle that encompasses 4 basic steps: 1) software DNA design; 2) DNA synthesis and assembly; 3) transfection/chromosomal integration and product screening; and 4) real- time feedback and control.

Luna Innovations Incorporated
1 Riverside Circle, Suite 400
Roanoke, VA 24016
(540) 961-6724

PI: Ben Lepene
(434) 220-2509
Contract #: D13PC00040
North Carolina State University
3116 College of Textiles, Box 8301, Room 3116
Raleigh, NC 27695
(919) 515-6545

ID#: D12B-001-0019
Agency: DARPA
Topic#: ST12B-001      Awarded: 1/28/2013
Title: Preservation Matrix for Improved Biological Specimen Storage and Recovery
Abstract:    Luna Innovations will determine the feasibility of modifying our novel bio-encapsulation technology for enhanced recovery of viral and bacterial targets from swab-like biospecimens. In the proposed Phase I, Luna will work with Dr. Hudson (North Carolina State Univiersity, College of Textiles) in order to modify our encapsulation process for integration with non-woven materials for swab collection. The swab material will be composed of FDA-approved reversible-biopolymers allowing for easy dissolution of the preservation matrix for increased recovery of specimen analytes. Luna’s preservation technology has been successfully applied to protein and whole cell encapsulation, providing significant improvements in storage life-time and temperature stability reducing the need for cold chain requirements while improving the accuracy of pathogen detection. In order to demonstrate enhanced recovery of analytes, various pathogens (bacterial and viral) will be tested for viability and detection rate as a function of preservation time and temperature. The compatibility with standard downstream analyses will also be determined. Phase II will focus on increasing preservation time (transport and storage) while also maximizing recovery efficiency of biospecimen analytes and optimizing integration with downstream analytical detection methods.

Ntrepid Corporation
12801 Worldgate Drive, Suite 800
Herndon, VA 20170
(571) 612-8361

PI: R.K. Prasanth
(571) 612-8345
Contract #: D13PC00041
University of Michigan
4365 North Quad, 105 S. State Street
Ann Arbor, MI 48109
(734) 615-9602

ID#: D12B-002-0033
Agency: DARPA
Topic#: ST12B-002      Awarded: 2/13/2013
Title: The Message in the Medium: Predicting influence and attention using attitude annotation and salience modeling
Abstract:    We propose scalable, linear-time models and algorithms for online social network analysis that remedy limitations of current state-of-the-art models by creating a capability for tracking, predicting affiliations, and roles of participants in and across online communities. The model goes beyond simple clustering and community detection by using more of the message in the media, i.e. by taking into account the semantic, pragmatic and temporal content of computer- mediated-communication by an individual and within a community. Using parallel models of individual participants and groups, we propose to augment previous algorithms by incorporating a multi-dimensional network representation incorporating attitudes of participants and groups toward entities, issues, beliefs, and other participants. Further, individual participant models will represent their roles in the community based on the nature of their online interactions. This approach will reveal social ties among group participants and the relative strength of their group affiliations. The constructed representations will reveal user-specific and group-prevalent themes, sentiments, activities, and roles. This will allow us to predict patterns of group formation and dissolution, and to predict an individual participant’s likelihood of initiating or maintaining an affiliation with a group based on a mathematical comparison of that individual’s profile with the group’s profile.

Perceptronics Solutions, Inc.
3527 Beverly Glen Blvd.,
Sherman Oaks, CA 91423
(818) 788-1025

PI: Georgiy Levchuk
(818) 788-4230
Contract #: D13PC00064
University of Maryland
3457 Van Munching,
College Park, MD 20742
(301) 405-7229

ID#: D12B-002-0015
Agency: DARPA
Topic#: ST12B-002      Awarded: 1/28/2013
Title: Forecasting Dynamic Group Behavior in Social Media
Abstract:    This proposal is to develop a new system for Recognition of Communities and Heterogeneous Analysis of Group Interactions and Dynamics (RC-HAGID) for Social Media Forecasting. Social media enables individuals and groups to quickly coordinate, recruit and direct people to take action in support of a particular objective. This includes terrorist groups and criminal organizations. Accordingly, for full national security it is essential that our intelligence analysts be able to identify and understand the formation and dissolution of groups, interactions between and within groups, and changes in “state” of groups (i.e. from recruitment to carrying out some collaborative action). However, existing techniques for supporting this type of work are limited. In our new and innovative approach, we combine a number of sophisticated techniques that have been developed to address each of the above limitations, and combine them into one integrated system. The resulting tool will be able to monitor social media, identify distinct groups, apply a set of complimentary analyses in order to characterize group “state” and inter- and intra-group interactions based on individual level characteristics in recognition of their heterogeneous nature, forecast changes in group state, and identify the key factors involved with those changes in state.

Systems & Technology Research
400 West Cummings Park, Suite 5850,
Woburn, MA 01801
(603) 718-9800

PI: Erik Jensen
(781) 503-3293
Contract #: D13PC00042
MIT Sloan School of Management
50 Memorial Drive,
Cambridge, MA 02142
(617) 253-3313

ID#: D12B-002-0039
Agency: DARPA
Topic#: ST12B-002      Awarded: 1/28/2013
Title: Forecasting Dynamic Group Behavior in Social Media
Abstract:    We propose to develop novel, scalable technology for detection and of tracking of new and existing groups in social media, together with a comprehensive set of indicators for inferring group activities and interactions. Focusing initially on Twitter data, our approach will extend existing "static" models of community structure to properly fuse both topic- based and topological information, and will use a Markov chain Dirichlet process to model the evolution of this structure over time. We will also develop on-line variational methods for on-line group detection and tracking at web scale using this model. Finally, we will employ Bayesian methods and Granger causality to develop indicators of activities within and between groups, including recruitment and competition, and we also will use these indicators to improve group detection and tracking.

Viridis Solutions
807 Westin Pass,
Prescott, AR 86301
(480) 225-9931

PI: Blaine Butler
(607) 592-3778
Contract #: D13PC00043
University of Albany
257 Fuller Road,
Albany, NY 12203
(518) 956-7354

ID#: D12B-001-0001
Agency: DARPA
Topic#: ST12B-001      Awarded: 1/28/2013
Title: Advanced Materials and Methods for Biospecimen Collection for Infectious Disease
Abstract:    In this Phase I research effort we propose to construct an advanced design for a collection swab to be used for collection and storage of biospecimens. Viridis Solutions and Dr. Magnus Bergkvist and Dr. Melendez (College of Nanoscale Science & Engineering, University at Albany) propose a novel nanofabricated swab that is capable of absorbing and stabilizing biospecimens for long-term storage and simplified sample recovery/elution. The proposed fabricated swab would maximize recovery and activity of nucleic acids, proteins, viable whole cells, active viruses, and bacteria without cold chain requirements. In the Phase I work we would evaluate the nanofabricated swab with a model system of Francisella tularensis.

---------- MDA ----------

AeroSoft, Inc.
2000 Kraft Drive Suite 1400,
Blacksburg, VA 24060
(540) 557-1904

PI: William D. McGrory
(540) 557-1904
Contract #: HQ0277-13-C-7401
United States Air Force Academy
2354 Fairchild Drive, Suite 2A31
USAFA, CO 80840
(719) 333-4165

ID#: B12B-008-0015
Agency: MDA
Topic#: MDA12-T008       Awarded: 4/3/2013
Title: Verification and Validation of Physics Based DPAL Models
Abstract:  AeroSoft, with the USAFA Laser and Optics Research Center proposes to create an extensive and thorough Verification and Validation (V&V) Program for anchoring physics based modeling software for static and flowing DPAL systems. During Phase I, a review of existing experimental programs will made and used for preliminary validation with the GASP software suite. Once deficiencies in the current experimental programs as applied to V&V, a rigorous test plan will be constructed for execution in Phase II.

Applied Biomathematics
100 North Country Rd.,
Setauket, NY 11733
(631) 751-4350

PI: SCOTT D. FERSON
(631) 751-4350
Contract #: HQ0147-13-C-7401
Los Alamos National Laboratory
P.O. Box 1663,
Los Alamos, NM 87545
(505) 667-3320

ID#: B12B-007-0010
Agency: MDA
Topic#: MDA12-T007       Awarded: 2/14/2013
Title: M&S Uncertainty Quantification
Abstract:  An emerging consensus in engineering holds that aleatory uncertainty should be propagated by traditional methods of probability theory but that epistemic uncertainty may require methods that do not confuse incertitude with variability by requiring every possibility be associated with a probability that it occurs. Therefore, although Monte Carlo shells that re-run calculations many times while varying input values according to specified distributions are useful, they are insufficient to properly account for epistemic and aleatory uncertainty. Three things are needed to build on the new consensus. The first is a clear and comprehensive roadmap for how various important problems (e.g., arithmetic and logical evaluations, backcalculations, sensitivity analyses, etc.) can be solved under this view. The second is software that enables analysts to automatically propagate through simulations the uncertainty implied by the significant digits of the numbers specifying a model. Such software would require very little training in uncertainty analysis to be useful to analysts. The third need is a software library of recommended methods for common calculations that is usable by modelers and analysts who may not themselves be experts in uncertainty quantification but who recognize the need for and benefits from it.

Applied Mathematics, Inc.
1622 Route 12, Box 637,
Gales Ferry, CT 06335
(860) 464-7259

PI: Ethan K. Murphy
(860) 464-7259
Contract #: HQ0147-13-C-7402
Purdue University
Sponsored Programs Services,
West Lafayette, IN 47907
(765) 494-1063

ID#: B12B-004-0001
Agency: MDA
Topic#: MDA12-T004       Awarded: 3/19/2013
Title: EOIR Debris Management during ascent phase for C2BMC
Abstract:  We propose to develop algorithms to improve debris management for electro-optical/infrared sensors (EO/IR) within C2BMC. Our goal is to improve fire control solutions, increase the quality of communicated sensor information, and reduce communication demands. We characterize the pre-intercept debris field mathematically by expressing the debris fields viewed on the sensor’s focal plane as 2D ellipses using an algorithm from the Two Micron All Sky Survey (2MASS) research project. Objects of interest are found using a Bayesian belief network (BBN). Two Kalman filters will be used to track the change in the 2D cloud shape and its LOS from a single sensor. This information can compactly express the 2D EO/IR scene information and future uncertainty. We propose to combine 2D data from two or more passive EO/IR sensors to produce 3D tracks of the clouds and targets of interest and to track the 3D debris cloud shape. The models developed will be implemented and tested by our research institution partner, Purdue University Center for Integrated Systems in Aerospace, in their ARchitecture Testing Environment for Missile Interception Systems (ARTEMIS) which is under development for MDA for use in C2BMC.

Charles River Analytics Inc.
625 Mount Auburn Street,
Cambridge, MA 02138
(617) 491-3474

PI: Brad Rosenberg
(617) 491-3474
Contract #: HQ0147-13-C-7403
Ohio State University
8225 Markhaven Court,
Columbus, OH 43235
(614) 946-0123

ID#: B12B-006-0018
Agency: MDA
Topic#: MDA12-T006       Awarded: 2/28/2013
Title: Modeling Operator Reasoning and Performance for Human-in-Control Simulation (MORPHIC)
Abstract:  As the United States makes strides in developing, testing, and deploying missile defense technology, the human element remains core to the integrated, layered ballistic missile defense system (BMDS) architecture. Human operators oversee the command and control at the system, component, and element level across a vast array of networked ground-, sea-, and space-based sensors and interceptors to effectively detect, track, discriminate and engage threats. This requires careful coordination across a complex system-of-systems. It is vital to understand the impact of human operator differences across system configurations, engagement conditions, and target phenomena for a variety of BMDS applications. Currently, however, there is no common, modular capability to model variability in human-in-control (HIC) interactions with other simulated elements. A HIC modeling capability is needed that can (1) represent the breadth of operator decision-making processes across BMDS elements, (2) scale to deliver the appropriate level of fidelity, and (3) be extensible to future operator needs. To provide this HIC modeling capability, we propose to design and demonstrate the feasibility of Modeling Operator Reasoning and Performance for Human-in-Control Simulation (MORPHIC). MORPHIC provides a graphical development and run-time environment for non-technical experts to construct and execute HIC models for a variety of BMDS applications.

Corvid Technologies, Inc.
145 Overhill Drive,
Mooresville, NC 28117
(704) 799-6944

PI: Robert Nance
(704) 799-6944
Contract #: HQ0147-13-C-7404
Applied Physics Laboratory
11100 Johns Hopkins Rd,
Laurel, MD 20723
(240) 228-2178

ID#: B12B-005-0020
Agency: MDA
Topic#: MDA12-T005       Awarded: 2/5/2013
Title: Post Intercept Debris Predictions for EO/IR Scene Modeling
Abstract:  Corvid Technologies is pleased to offer this STTR Phase I proposal in collaboration with The Johns Hopkins University Applied Physics Laboratory and Spectral Sciences, Incorporated. The emphasis of the proposed effort is to develop a new methodology for predicting late-time EO/IR signatures from high-velocity impacts during a Ballistic Missile Defense intercept event. This collaborative effort will utilize components from each organization for the method’s development and existing flight test data for demonstrating proof-of-principle. The resultant methodology will be optimized for incorporation into a fast-running tool.

Creare Inc.
P.O. Box 71,
Hanover, NH 03755
(603) 643-3800

PI: Jeffrey J. Breedlove
(603) 643-3800
Contract #: HQ0277-13-C-7402
Air Force Institute of Technology
Building 460, Room 107,
Wright-Patterson AFB, OH 45433
(937) 255-3636

ID#: B12B-008-0026
Agency: MDA
Topic#: MDA12-T008       Awarded: 4/8/2013
Title: HEL Analysis Tool with Experimentally Corroborated DPAL Rate Coefficients
Abstract:  Diode-Pumped Alkali Laser Systems (DPALS) have great potential for missile defense and other applications. Proper design of these systems is challenging because many interrelated processes impact their performance and critical kinetic rate coefficients are not well known. In response, our team proposes to develop a comprehensive physics-based analysis/design tool, and determine key kinetic rate coefficients experimentally. The resulting product will be a user- friendly, high-fidelity, coupled Fluid-Thermal-Mechanical-Optical software package with accurate rate constants. MDA representatives and others will use this software to design laser systems, predict performance, conduct sensitivity analyses, and assess experimental results. This achievement will help advance high energy laser (HEL) systems for a variety of applications. Our team is well-suited to succeed because we have extensive experience with laser systems, atomic and laser kinetic experiments, and customized numerical analyses. During Phase I, we will develop critical analysis tools, determine key rate constants, and perform parametric sensitivity analyses. We will then develop a user- friendly, fully coupled, software package with a comprehensive set of experimentally-determined rate constants during Phase II.

CU Aerospace
301 North Neil St., Suite 400
Champaign, IL 61820
(217) 239-0629

PI: David Carroll
(217) 239-1703
Contract #: HQ0277-13-C-7403
Univ. Illinois at Urbana-Champaign
Board of Trustees, OSPRA, 1901 S. First St - Suite A
Champaign, IL 61820
(217) 333-2187

ID#: B12B-008-0030
Agency: MDA
Topic#: MDA12-T008       Awarded: 4/1/2013
Title: Ultra-High Efficiency Multi-Physics CFD Simulation Software for DPAL/Laser System Analysis
Abstract:  The primary objective of Phase I work performed by the team of CU Aerospace and the University of Illinois is to produce a powerful and easy to use, parallel, fluid-dynamic, chemical-kinetic, and optical simulation software package that will function on any modern computational platform (Unix, Linux, Windows, MacOS), be applicable to a wide range of laser systems and other technical problems of interest to MDA, and demonstrate its utility by accurately modeling performance leading DPAL experiments. The proposed software will exceed standards set by competing software solutions in applicability, ease of use, capability, and computer time and resource requirements. These advances will have a major impact on the dual use technology of kinetically and optically reactive fluid-dynamic models and laser system simulation software for a wide range of problems of interest to MDA, DOD, commercial industry, and educational institutions. The results of Phase I research will lay the foundation for developing a multi-physics simulation suite applicable to all lasers systems of interest to the MDA in Phase II. Our team partner the University of Illinois will perform fundamental research testing and validation studies intended to establish the model’s accuracy and compare its performance to industry leading competitors.

Digital Optics Technologies, Inc.
1645 Hicks Road, Suite R,
Rolling Meadows, IL 60008
(847) 358-2592

PI: Selim Shahriar
(847) 491-5306
Contract #: HQ0277-13-C-7404
Northwestern University
Office For Sponsored Research, 633 Clark Street
Evanston, IL 60208
(847) 491-3003

ID#: B12B-008-0034
Agency: MDA
Topic#: MDA12-T008       Awarded: 3/1/2013
Title: Development of high energy laser analysis software along with experimental verification of DPAL rate constants
Abstract:  Under the work proposed here, we will develop a physics based comprehensive software for modeling the behavior of a diode pumped alkali laser: DPAL. The software will be designed primarily for a He-Rb DPAL. However, it could easily be applied to DPALs based on other alkali atoms, such as Cs. Furthermore, the model would be versatile enough to be applicable to other high energy lasers as well. Contrary to the conventional rate equation approach, which is often inadequate in predicting effects such as frequency pulling and spectral properties, we will make use of a comprehensive approach based on density matrix. We will also model the pump using a stochastic phase diffusion model, which is likely to be more accurate than the conventional approach of using spectrally inhomogeneous absorption cross sections. We will also employ computational fluid dynamics techniques to take into account the effect of fluid flow and temperature gradients. Longitudinal and transversal intensity variations will also be treated carefully. Northwestern University (NU), with Prof. Selim Shahriar as PI, will serve as a subcontractor, and will contribute to the development of the theoretical model. Both NU and DOT (the prime) have several DPALs currently operating. These DPALs will be used to carry out experimental verification of the relevant DPAL rate constants. Prof. Yuri Rostovtsev of University of North Texas, an expert in all theoretical aspects of this project, will work as a consultant to DOT, and will be the leader of the theoretical effort.

Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400
Rockville, MD 20855
(301) 294-5221

PI: Evan Clark
(301) 294-4635
Contract #: HQ0147-13-C-7405
University of Michigan
3641 Beyster Bldg.,
Ann Arbor, MI 48109
(734) 763-6739

ID#: B12B-006-0029
Agency: MDA
Topic#: MDA12-T006       Awarded: 2/19/2013
Title: Human-In-Control (HIC) Modeling and Integration Framework for BMDS Simulations
Abstract:  IAI with University of Michigan proposes an innovative HIC software modeling and integration framework built around objectively quantified cognitive models of human operators – i) Executive-Process/Interactive Control (EPIC) and ii) GOMS (Goal Operator Method and Selection rules) Language Evaluation and Analysis (GLEAN). The framework provides ability to model existing or futuristic operator workstations, which is used as declarative knowledge to develop high & low-fidelity cognitive models. The framework supports operator modeling of varying proficiency by allowing users to define task-specific timeline distributions, while the decisions are driven by fixed perceptual, cognitive, motor processor parameters and constraints. It also allows the cognitive model to interact with external decision models to determine quantitative value of the outcome of certain motor tasks so that meaning simulation events can be generated for other BMDS simulation elements and components. A proposed HLA framework to interface with perceptual signal and motor actions declared in the HIC model provides an integration layer and a middleware to manage simulation time, and seeds to repeatable stochastic behavior external to the HIC model. Finally, a proposed enterprise service with scenario planning capability to configure a simulation event from a repository of operator and workstation models supports trainings and BMDS Performance Assessment.

M4 Engineering, Inc.
4020 Long Beach Blvd,
Long Beach, CA 90807
(562) 981-7797

PI: Tyler Winter
(562) 981-7797
Contract #: HQ0147-13-C-7406
Missouri S&T
1870 Miner Circle, 290B Toomey Hall
Rolla, MO 65409
(573) 341-7239

ID#: B12B-007-0037
Agency: MDA
Topic#: MDA12-T007       Awarded: 3/28/2013
Title: M&S Uncertainty Quantification
Abstract:  M4 Engineering, Inc. and Missouri S&T propose to investigate and refine uncertainty quantification (UQ) methods for Ballistic Missile Defense Systems (BMDS) Modeling and Simulation (M&S) with the emphasis on demonstrating the feasibility of non-intrusive stochastic expansions based on polynomial chaos, which will address the accuracy and computational efficiency issues associated with UQ in BMDS simulations. The functional representation and computational efficiency of the stochastic expansion methods will enable the use of uncertainty quantification for both real-time and as-fast-as-possible BMDS M&S. Furthermore, methods based on polynomial chaos will be non-intrusive in the sense that no modification to the existing deterministic physical modeling codes will be required. The UQ approach will include the modeling and propagation of both aleatory and epistemic uncertainties in BMDS M&S with the utilization of Second-Order Probability Theory. The computational efficiency and accuracy of stochastic expansions will be tested on model problems relevant to BMDS M&S and will be compared to other UQ methodologies based on surrogate modeling. The results of these studies will determine the UQ method(s) suitable for BMDS M&S, which will be integrated to general UQ framework software to be developed in a possible Phase II effort.

Numerica Corporation
4850 Hahns Peak Drive, Suite 200
Loveland, CO 80538
(970) 612-2313

PI: Jason Adaska
(970) 612-2329
Contract #: HQ0147-13-C-7407
Georgia Tech Applied Research
505 Tenth Street NW, North Buidling, Room 003
Atlanta, GA 30318
(404) 385-6705

ID#: B12B-007-0023
Agency: MDA
Topic#: MDA12-T007       Awarded: 2/20/2013
Title: M&S Uncertainty Quantification
Abstract:  A goal of Uncertainty Quantification (UQ) is to use computer simulation of complex systems to make scientifically informed assessments for high-consequence decisions. Because end-to-end empirical data is difficult to obtain for the Ballistic Missile Defense System (BMDS), computer simulation provides the best method for understanding BMDS capabilities against a wide range of threats. Numerica Corporation, in partnership with the Georgia Tech Research Institute, proposes to develop an adaptive, sampling-based framework for quantifying the impact of both aleatoric and epistemic uncertainties within the BMDS. The primary goal of this effort is to construct a simulator-agnostic UQ capability that is applicable to a broad range of modeling and simulation environments. Nonetheless, the Phase I effort would also implement a proof-of-concept prototype in a specific environment, to demonstrate the proposed technology on a problem of interest to MDA. Key innovations in the proposed work include: (i) novel sampling methods for efficiently exploring high-dimensional uncertainty spaces with dependent variables, (ii) non-parametric techniques for quantifying the errors due to finite sample size, (iii) feedback mechanisms to reduce the total number of samples needed for UQ, and (iv) flexible techniques for accelerating simulations through computation re-use.

OptTek Systems, Inc.
2241 17th Street,
Boulder, CO 80302
(303) 447-3255

PI: Franklin E Grange
(303) 882-1664
Contract #: HQ0147-13-C-7408
Oak Ridge National Laboratory
P.O. Box 2008,
Oak Ridge, TN 37831
(865) 576-7343

ID#: B12B-007-0003
Agency: MDA
Topic#: MDA12-T007       Awarded: 3/28/2013
Title: M&S Uncertainty Quantification
Abstract:  OptTek Systems, Inc (OptTek), proposes an affordable, effective UQ capability for both legacy and new BMDS M&S. The OptTek Team includes research institution partner Oak Ridge National Laboratory (ORNL) and subcontractor RTSync Corporation (RTSync). The proposed BMDS M&S UQ capability maximizes insertability into existing and future MDA BMDS M&S-supported Event processes, analysis methods, architectures, simulations and frameworks. The OptTek Team will deliver systems engineering artifacts for an objective end-state BMDS M&S UQ Reference Architecture configured on RTSync’s proven Discrete Event Systems Specification (DEVS) for straightforward insertion into existing and new BMDS M&S tools. The BMDS M&S UQ capability builds on the ORNL’s methods and experience with Quantification of Margins and Uncertainties (QMU) to provide an objective measure of confidence in M&S-based results. The OptTek Team proposes innovative epistemic UQ by leveraging the Government’s prior investment in the OptDef BMDS Simulation Optimization. In the Phase I Option, the OptTek Team proposes a prototype demonstration of joint epistemic and aleatoric UQ and QMU using existing MDA BMDS M&S tools, OptDef with the Monte Carlo simulation capability in the Extended Air Defense Simulation (EADSIM). OptTek’s 20-year track record commercializing advanced algorithms and SBIR products maximizes the likelihood of commercialization success.

Physical Sciences Inc.
20 New England Business Center,
Andover, MA 01810
(978) 689-0003

PI: Marten F. Byl
(978) 689-0003
Contract #: HQ0147-13-C-7409
John Hopkins University
Applied Physics Laboratory, 11100 Johns Hopkins Road
Laurel, MD 20723
(242) 228-1141

ID#: B12B-005-0022
Agency: MDA
Topic#: MDA12-T005       Awarded: 3/13/2013
Title: Innovative Fast Running Post Intercept EO/IR Scene Generator
Abstract:  Physical Sciences Inc. (PSI) and Johns Hopkins Applied Physics Laboratory (APL) propose to develop an innovative fast running post-intercept electro-optical infrared (EO/IR) scene generator. This scene generator will incorporate and leverage both PSI’s post-intercept radar debris scene generator PRSIM and APL suite of EO/IR prediction and analysis tools including the re-entry vehicle intercept signature kill assessment models (RISK). The scene generator will exploit parallel computing and incorporate both first principle physics models and fast running engineering models to allow for the rapid generation of post-impact EO/IR scenes for both exo-atmospheric sensors (Phase I) and ground based sensors (Phase II) over a wide range of wavelengths (LWIR, MWIR, and visible). The scene generator will be anchored to the existing test data.

Prime Solutions Group, Incorporated
1300 S. Litchfield Road, Box 1, Suite A1020
Goodyear, AZ 85338
(623) 853-0829

PI: Joseph Marvin
(623) 853-0829
Contract #: HQ0147-13-C-7410
Frontline Healthcare Safety Foundat
Three Dunwoody Park, Ste 103,
Atlanta, GA 30338
(678) 781-5241

ID#: B12B-007-0025
Agency: MDA
Topic#: MDA12-T007       Awarded: 2/19/2013
Title: M&S Uncertainty Quantification Using an Ant Swarm Model
Abstract:  Appropriate models for missile defense systems (MDS) need to include both epistemic and aleatoric variables. This prevents the calculation of conventional confidence intervals and significance levels for the models, since these require that a statistical probability distribution be assumed wherever one is not actually known. Our proposed uncertainty quantification system will provide BMD with an overall measure of uncertainty that incorporates both epistemic and aleatoric uncertainty using an ant swarm model borrowed from nature. In addition, it provides a graphical presentation of overall uncertainty. The uncertainty quantification system will also provide indicators of combinations of variables which cause the M&S system under study to produce exceptionally high, exceptionally low, or exceptionally rapidly changing output.

SciTec, Inc.
100 Wall Street,
Princeton, NJ 08540
(609) 921-3892

PI: Jennifer C. Davis
(609) 921-3892
Contract #: HQ0147-13-C-7412
University of Michigan
Mathematics, 2074 East Hall
Ann Arbor, MI 48109
(734) 615-3058

ID#: B12B-004-0014
Agency: MDA
Topic#: MDA12-T004       Awarded: 2/8/2013
Title: EOIR Debris Management during ascent phase for C2BMC
Abstract:  SciTec, Inc., in collaboration with the University of Michigan (U. Mich.), proposes to develop advanced processing and exploitation algorithms and methods in order to improve the ability of the Missile Defense Agency’s (MDA’s) Command, Control, Battle Management and Communications (C2BMC) to characterize and transmit information about complex, cluttered scenes of operational relevance. The methods developed will minimize the number of objects tracked by the system, while maximizing the positional accuracy as well as scene information content for subsequent fire control formation. For this effort, SciTec will leverage its substantial data holdings, current and past work on several key processing and exploitation algorithms, its extensive experience working within and for the Missile Defense and Intelligence communities, and, supported by its partners at the University of Michigan, will research and develop novel image deblurring and/or super-resolution algorithms for incorporation into the C2BMC that will allow the system to better exploit data from disparate sensors, such as Airborne InfraRed. With SciTec’s and U. Mich.’s combined expertise in EO/IR sensing, algorithm design, signal and image processing, modeling, target tracking, sensor fusion, applied mathematics, and MDA mission analysis, this team is uniquely suited and prepared for the task.

SciTec, Inc.
100 Wall Street,
Princeton, NJ 08540
(609) 921-3892

PI: Brian J Pasquini
(609) 921-3892
Contract #: HQ0147-13-C-7411
Sandia National Laboratories
PO Box 5800, MS 1185
Albuquerque, NM 87185
(505) 844-5364

ID#: B12B-005-0016
Agency: MDA
Topic#: MDA12-T005       Awarded: 2/7/2013
Title: Post Intercept Debris Predictions for EO/IR Scene Modeling
Abstract:  SciTec and Sandia National Laboratories (SNL) propose a multi-scale simulation architecture for generating optical signatures from missile intercept debris clouds based on output from hydrocode tools developed at SNL while furthering optical data exploitation from the library of Aegis Ballistic Missile Defense (ABMD) intercept test. This will require developing data-driven relationships for matching critical debris properties between first principles simulation results and optical measurements. Averaged material properties from optical measurements will be approximated by exploiting the multi-sensor/multi-spectral measurements on ABMD intercept flights tests through an innovative optimization procedure that matches fast-running debris and radiation transport models with measured intensities. This approach will address the EO/IR scene modeling needs of ABMD pre-mission analysis, critical design considerations related to debris mitigation for Ballistic Missile Defense System (BMDS) elements, and aims to extend confidence to optical hit and kill assessment algorithms to engagement conditions outside of those which will be tested during ABMD flight tests. Additionally, this approach will shed light on the existing shortcomings of both first principle intercept simulations and fast running phenomenology approaches.

Stottler Henke Associates, Inc.
1670 South Amphlett Blvd., Suite 310
San Mateo, CA 94402
(650) 931-2700

PI: Jeremy Ludwig
(541) 302-4532
Contract #: HQ0147-13-C-7413
Georgia Tech Research Institute
250 14th Street NW,
Atlanta, GA 30318
(404) 407-7507

ID#: B12B-006-0038
Agency: MDA
Topic#: MDA12-T006       Awarded: 3/25/2013
Title: ModelSHOP - Model for Simulated Human Operator Performance
Abstract:  We propose to develop the Model for Simulated Human Operator Performance (ModelSHOP), a behavior authoring and execution capability for injecting variable Human-in-Control (HIC) actions and decisions into Ballistic Missile Defense System (BMDS) simulation. ModelSHOP will provide a generative model structure for representing key human performance moderators to combine in different ways to simulate variations in human performance. The resulting models produce outputs such as decisions or specific operational actions that in turn can be injected into repeated simulations. Stottler Henke will team with Georgia Tech Research Institute (GTRI) to design and develop a practical interface layer for the HIC behavior models to interoperate with their BMD Benchmark simulation. The ModelSHOP architecture will be built upon an existing tool Stottler Henke developed for visual behavior authoring without requiring programming knowledge, which is paired with a standalone runtime engine. Phase I will result in a formalized structure for automated BMDS operator behaviors, an architecture design tailored to satisfy a cross section of target modeling requirements, and an initial prototype of sample behaviors, which will lay the groundwork for full prototype implementation in Phase II.

Tier 1 Performance Solutions, LLC
100 E. Rivercenter Blvd, Suite 100
Covington, KY 41011
(859) 663-2114

PI: Stu Rodgers
(937) 903-0558
Contract #: HQ0147-13-C-7414
Carnegie Mellon University
Department of Psychology, Baker Hall, 342C
Pittsburgh, PA 15213
(412) 268-6028

ID#: B12B-006-0006
Agency: MDA
Topic#: MDA12-T006       Awarded: 3/4/2013
Title: Human Performance Modeling Mark-up Language (HMP-ML)
Abstract:  The modeling and simulation of human performance is often difficult because there is no uniform framework for expressing the content and structure of a human performance model and all but impossible to compare and contrast across different models despite the abundance of quantitative modeling tools. The inability to communicate model structure and content is not just a practical shortcoming; it is a major impediment to assessing the validity, plausibility, and extensibility of human performance models. We see a significant opportunity to advance the state of the art in human performance modeling with the development of a uniform language for expressing the structure and content of a model. The development of this language, the Human Performance Modeling Mark-up Language (HPM-ML), will follow directly from our efforts to develop models of a Human-In-Control operating a Ballistic Missile Defense System. The goal in developing the HPM-ML is not to impose top-down methodological standards across human performance modelers, but rather to provide a common vocabulary to express what is already contained in current models. The work in Phase I will lead to a constructive proof-of-concept solution that will satisfy MDA’s need for more robust operator models in support of simulation-based training and analysis.

Toyon Research Corp.
6800 Cortona Drive,
Goleta, CA 93117
(805) 968-6787

PI: Tim Fair
(703) 674-0612
Contract #: HQ0147-13-C-7415
University of Southern California
Information Sciences Institute, 4676 Admiralty Way
Marina del Rey, CA 90292
(213) 740-2450

ID#: B12B-004-0040
Agency: MDA
Topic#: MDA12-T004       Awarded: 3/1/2013
Title: Efficient Clutter Suppression and Nonlinear Filtering Techniques for Tracking Dim Closely Spaced Objects in the Presence of Debris
Abstract:  EO/IR elements of the Ballistic Missile Defense System (BMDS) responsible for detecting and tracking ballistic missile threats encounter extraordinarily challenging threat and scene phenomenology. Specifically, non-stationary clutter characteristic of airborne and satellite-based sensor systems, along with dim target signatures, closely-spaced objects, and dense debris clouds typical of ballistic threats in midcourse flight, present complications for accurately detecting, tracking, and engaging ballistic threats across the BMDS. Current Detect-then-Track algorithms are extremely vulnerable to high false alarm rates under these circumstances. At a system level, the problem is much more catastrophic; detections from multiple sensors overwhelm the system making multisensor integration difficult. Due to range deficiencies of EO/IR sensor technology, multisensor integration is vital for successful intercept of ballistic threats. To address these challenges, we propose a framework that leverages spatiotemporal image processing algorithms for non-stationary clutter estimation and rejection, and nonlinear filtering based Track-before-Detect algorithms for tracking dim targets. Our approach fuses information across sensors without loss of information due to detection thresholds. Our algorithms, when applied jointly, provide a near-optimal solution. In addition, our algorithms are capable of resolving dim closely-spaced objects and robustly handle nonlinearities from: threat trajectories, closely-spaced object/debris phenomenology, and 3D-to-2D projective nonlinearities typical of optical sensors.

Vectraxx, Inc.
12131 Howards Mill Road,
Glen Allen, VA 23059
(804) 749-8750

PI: Darin Dunham
(804) 519-5480
Contract #: HQ0147-13-C-7416
University of Connecticut
438 Whitney Road Extn, Unit 1133
Storrs, CT 06269
(860) 486-2195

ID#: B12B-004-0043
Agency: MDA
Topic#: MDA12-T004       Awarded: 3/18/2013
Title: EOIR Fusion during Ascent Phase for C2BMC
Abstract:  In this Phase I STTR project for MDA, Vectraxx of Glen Allen, Virginia will address the critical problem of dealing with pre-intercept debris fields and launch family clusters as seen by IR sensors. This is an essential element to the ascent phase component of the MDA’s Ballistic Missile Defense System. The objective of this R&D effort is to characterize pre-intercept debris field and leverage the track-before-detect capability of the Histogram Probabilistic Multi- Hypothesis Tracker (H-PMHT) algorithm to produce advantageous lethal object information to the C2BMC. Our plan is to fuse together information from multiple IR sensors into useful data that fully conveys the battle space. Fusing together multiple-sensor information in an intelligent manner will help overcome the two-dimensional limitations of the passive sensors. These advances will provide earlier and more effective identification and tracking of lethal objects. In Phase I, Vectraxx will demonstrate the value of our family launch cluster tracking with multiple IR sensors. In Phase II, the goal will be to fully test our algorithm implementation with simulated scenarios and recorded ground tests in order to advance the capability to TRL-6.

---------- OSD ----------

CHEMTOR, L.P.
104 Inwood Drive,
San Marcos, TX 78666
(512) 557-7461

PI: John Massingill
(512) 557-7461
Contract #: N00014-13-P-1007
Texas State University-San Marcos
601 University Drive, Office of Sponsored Programs
San Marcos, TX 78666
(512) 245-2314

ID#: O12B-T04-4025
Agency: OSD
Topic#: OSD12-T04      Awarded: 3/11/2013
Title: Efficient, Environmentally-Compatible Recovery Technologies for Rhenium and Other Strategic Critical Materials
Abstract:   Rhenium (Re) was the last natural element to be identified and is the rarest of metals. The most concentrated ore contains only about 1800 ppm Re. It has a very high melting point, which leads to uses in high temperature resistant applications like catalysts and superalloys. Re confers high temperature creep resistance and corrosion resistance to its alloys. A typical superalloy contains 2 to 6% by weight rhenium, along with a major proportion (50 to 60%) nickel and minor amounts (2-10%) of one or more of cobalt, chromium, aluminum, molybdenum, tantalum and tungsten. Due to the limited amount of rhenium present in the earth’s crust there is a significant benefit to be realized in recovering rhenium from scrap material, spent catalysts, and end-of-life superalloys. Pt-Re petroleum reforming catalysts are 20% of the current Re market. Re in this application is virtually all recycled. Superalloys in high temperature turbine engines are 70% of the market and some is recycled by companies like Titan International (New Jersey). Electromagnets, thermocouples, x-ray tube targets, and various others are 10% of current market use. Very little of these are recycled. There is also benefit in a process that could extract Re from molybdenum and copper processing concentrates.

Lynntech, Inc.
2501 Earl Rudder Freeway South,
College Station, TX 78845
(979) 764-2218

PI: Mahesh Waje
(979) 764-2200
Contract #: N00014-13-P-1004
The Pennsylvania State University
201 Old Main,
University Park, PA 16802
(814) 865-7650

ID#: O12B-T04-4006
Agency: OSD
Topic#: OSD12-T04      Awarded: 2/21/2013
Title: Recovery of Rhenium from Superalloy Scrap
Abstract:   Recovery and re-use of Rhenium is of critical importance to the superalloy industry due to its limited availability and growing demand. The recycling loop in the superalloy industry is currently far less efficient.The proposal addresses the recovery of Rhenium from superalloy (containing 3% Rhenium) scrap based on the oxidative removal of Rhenium as Re2O7 (Rhenium oxide). The novel process proposed will improve upon the processing steps of comminution of the superalloy and improve the efficiency or yield of Rhenium recovery from the superalloy. Also it is envisioned to be a low temperature process combining both comminution and oxidation steps in a single reactor system. The process will also have environmental benefits due to selective removal of Rhenium as Re2O7 without using any solvents. In the Phase I, Lynntech in collaboration with Prof. Zi-Kui Liu of Penn State University, will determine the optimal process parameters through thermodynamic first principles calculations. The results of the thermodynamic study will form the basis for the experimental demonstration of the Re recovery process in Phase I. The Phase II will work on complete system development and subscale demonstration of the Re recovery process.

Physical Sciences Inc.
20 New England Business Center,
Andover, MA 01810
(978) 689-0003

PI: Michael A. Costolo
(978) 689-0003
Contract #: N00014-13-P-1008
University of Nevada, Reno
1664 North Virginia Street,
Reno, NV 89557
(775)784-4040

ID#: O12B-T01-4015
Agency: OSD
Topic#: OSD12-T01      Awarded: 2/27/2013
Title: Floatation Technologies for Rare Earths Enrichment of a Novel Low-cost Raw Material
Abstract:   Physical Sciences Inc. (PSI) and the University of Nevada, Reno propose to develop advanced technologies for concentrating and separating rare earth elements (REE) from a novel, low cost, and abundant and readily available material in the United States, not previously considered as a REE source. We show that with the development of advanced REE separation and extraction technologies, the annual US demand for critical REEs can be exceeded using only this source, without the need for currently-used REE minerals. We propose a Phase I program to evaluate and exploit the surface chemistry of particles of the raw material and validate a froth flotation flow sheet for the material.

Spectrum Magnetics, LLC
1210 First State Blvd,
Wilmington, DE 19804
(302) 379-9808

PI: Hao Zhu
(302) 993-1070
Contract #: N00014-13-P-1009
University of Kentucky
College of Engineering,
Lexington, KY 40506
(859) 257-2820

ID#: O12B-T01-4023
Agency: OSD
Topic#: OSD12-T01      Awarded: 2/21/2013
Title: Advanced Separation Technologies for Extraction of Rare Earth Elements (REE)
Abstract:   The proposed SBIR Phase I program is to develop a novel nanobulb flotation method with high efficiency and rare earth mineral recovery rate comparing to conventional methods. Significant efforts will focus on the studies of fundamental surface chemistry of rare earth in flotation process, and the development of the model for the nanobulb flotation process. Based on these fundamental understandings, we will optimize the nanobulb flotation process.

Advanced Materials and Devices
4451 Lynnfield Way,
Reno, NV 89519
(775) 826-8868

PI: Mr. Michael McKee
(775) 826-8868
Contract #: W911QX-13-C-0077
Alfred University
One Saxon Drive,
Alfred, NY 14802
(607) 871-2913

ID#: O12B-T07-2013
Agency: OSD
Topic#: OSD12-T07      Awarded: 5/28/2013
Title: An Ultra-High Carbon Steel Bonded Tungsten Carbide Material for Armor Piercing Rounds
Abstract:   This Small Business Technology Transfer (STTR) Phase I effort will demonstrate the feasibility of an innovative tungsten carbide (WC) metal matrix composite for use as a non-carcinogenic penetrator for armor piercing (AP) munitions for small arms. The objectives of this effort are to: 1) Mechanically compact the WC and binder powders, 2) Sinter the compacted powders into a fully dense composite, 3) Characterize the structure of the composite, 4) Characterize the physical properties of the composite, and 5) Produce a 5.56mm diameter, 500mm long rod with the proposed material. By successful completion of the Phase I project, a new material and processing technique, capable of producing high-performance AP penetrators, will be delivered.

Aegis Technology
3300 A Westminister Ave.,
Santa Ana, CA 92703
(714) 554-5511

PI: Jacky Chen
(714) 554-5511
Contract #: FA9550-13-C-0042
University of Nebraska
Dept. of Physics & Astronomy, 855 N 16th Street
Lincoln, NE 68588
(402) 472-2407

ID#: O12B-T06-1002
Agency: OSD
Topic#: OSD12-T06      Awarded: 7/1/2013
Title: Sustainable Alloy Design: Rare Earth Materials Challenge
Abstract:   This proposed project is to develop a novel class of high-temperature, high-energy-product permanent magnets with minimized rare-earth element based on a two-phase (Sm2Fe17N3)1-x(Co35Fe65)x (0

CFD Research Corporation
215 Wynn Dr., 5th Floor,
Huntsville, AL 35805
(256) 726-4884

PI: Dr. Hyunwook (Shaun) Kwak
(256) 726-4800
Contract #: FA9550-13-C-0034
University of Nebraska
125 Durham Science Cntr.,
Omaha, NE 68182
(402) 554-3720

ID#: O12B-T06-1001
Agency: OSD
Topic#: OSD12-T06      Awarded: 5/15/2013
Title: First-Principles-Based Framework for Discovery and Design of Sustainable Non-Rare-Earth High-Temperature Alloy Systems
Abstract:   In this STTR Phase I project, CFD Research Corporation and University of Nebraska at Omaha will develop a preliminary computationally-driven first-principles framework for discovery and design of non-RE-containing alloys for high temperature applications. While rare-earth (RE) based alloys have played a pivotal role in modern defense and high-tech industry, sustainability of RE-based materials is being questionable. New design framework for non-RE high performance materials proposed in this work is powered by state-of-the-art first-principles methods identifying the relationship between the atomic configuration and thermo-mechanical/magnetic properties of the material. During Phase I, we will focus on demonstrating the feasibility of the approach by investigating the thermodynamic stability, magnetic anisotropy, and mean-field estimated Curie temperatures of proposed selenide structures. Successful completion of Phase I effort will be bridged to the Phase II work where a wider range of candidate materials will be examined and screened out for further computational and experimental investigation. Phase II work will also introduce multiscale simulation technique and promote experimental synthesis and characterization of several prominent candidate materials for confirmation of their magnetic performance.

CHEMTOR, L.P.
104 Inwood Drive,
San Marcos, TX 78666
(512) 557-7461

PI: John Massingill
(512) 557-7461
Contract #: N00014-13-P-1140
Texas State University-San Marcos
601 University Drive,
San Marcos, TX 78666
(512) 245-2314

ID#: O12B-T02-4012
Agency: OSD
Topic#: OSD12-T02      Awarded: 4/4/2013
Title: Novel Primary Processing of Scarce Element Ores
Abstract:   The rare-earth elements (REEs) find uses in many high tech military applications, including night vision goggles, laser range finders, precision guided weapons, and stealth technology. Their high costs (up to $6800/lb. Scandium) are due to low concentration in ores and high cost of separation. Fourteen of the REEs are listed in a single box in the periodic table, meaning they all have almost identical chemical behaviors. CHEMTOR, L.P. will collaborate on this STTR Phase I feasibility project with Texas State University-San Marcos and Quinn Process Equipment Co., Colorado (QPEC). QPEC makes mixer-settlers for the mining industry. CHEMTOR will adapt the game changing ultra-efficient non- dispersive, static Fiber Reactor™ (FR) and game changing ionic liquids to greatly improve the efficiency and economics of REE solvent extraction (SX) processes. The FR produces 60X more surface area than dispersion processors, does not make emulsions, and gives instant separation. CHEMTOR will develop and evaluate practical, robust REE SX processes that are highly efficient and can 1) use commercial extractants/solvents efficiently and safely, (2) use highly efficient Ionic Liquids as green solvent, and 3) use Task Specific Ionic Liquids to replace extractant and solvent. The FR contactor-settler will be a fraction the size of current technology with benefits of small foot print and reduced capital. The new processor eliminates dispersions, so it will not produce rag or crud layers. This will result in reduced additives, reduced crud processing, reduced solvent loss and generally give improved plant operation with less down time, less waste, less pollution.

Electron Energy Corporation
924 Links Avenue,
Landisville, PA 17538
(717) 898-2294

PI: Dr. Jinfang Liu
(717) 898-2294
Contract #: FA9550-13-C-0037
Stony Brook University
Research Foundation of SUNY,
Stony Brook, NY 11794
(631) 632-4849

ID#: O12B-T06-1003
Agency: OSD
Topic#: OSD12-T06      Awarded: 4/3/2013
Title: New Rare Earth Free High Performance Permanent Magnets with High Energy Product and Mechanical Strength
Abstract:   Recently, the availability of the high performance rare earth based magnets (Nd-Fe-B and Sm-Co) was jeopardized due to the Chinese monopoly of rare earth production, which undermines our national security and competitiveness in the defense and clean energy sectors and creates a strategic vulnerability for the United States. This STTR proposal aims at developing the next generation of rare earth free permanent magnets with high magnetic performance, thermal stability and mechanical strength. The effort will focus on the development of new Mn-based magnets under two forms: (i) new ternary Mn-Bi-X single phase and (ii) nanocomposites of the newly developed Mn-Bi- X and Fe or FeCo. The research will be a conjugated effort encompassing crystal structure prediction and experimental work based on equilibrium and non-equilibrium synthesis approaches. The new single phase Mn-Bi-X magnets, are anticipated to provide (BH)max of at least 17 MGOe, higher than the current state of the art Alnico (10 MGOe) while the new nanocomposite Mn-Bi-X / Fe (FeCo) magnets can provide (BH)max ~ 70 MGOe at 177C which exceeds the current state of the art Nd-Fe-B magnets (52 MGOe) at room temperature.

Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400
Rockville, MD 20855
(301) 294-5221

PI: Robert Pokorny
(301) 294-4750
Contract #: W911NF-13-C-0058
The University of Utah
College of Architecture, 375 S 1520 E Rm 225
Salt Lake City, UT 84112
(801) 581-8254

ID#: O12B-T08-2016
Agency: OSD
Topic#: OSD12-T08      Awarded: 4/15/2013
Title: SACURE: Situational Awareness for Cyber-secURity Evaluation and training
Abstract:   The Department of Defense and owners of large, commercial enterprise networks need excellent tools and well trained personnel to enforce cyber-security and counter cyber-attacks. This proposal focuses on supporting security personnel to have great Situational Awareness and training to help them use next generation cyber-security tools. In collaboration with University of Utah researchers with experience in cyber-security, interface design, and visualizations of large, heterogeneous data, we will develop and enhance many features of a next-generation cyber-security tool to improve analysts’ and managers’ performance. Our approach includes leveraging prior Cognitive Task Analyses of cyber-security personnel (1) to design interfaces that support personnel work-flow and (2) to provide visualizations of the networks that enable users to develop Situational Awareness of the security of their networks. We will create embedded assessment and training systems so that users can practice their capabilities before they must defend against real attacks. Our approach combines (a) existing CTA of cyber security personnel; (b) a state-of-the-art cyber-security tool that will be refined to enhance the capabilities of its users; (c) research-based design and visualization capabilities;(d) innovative user analysis methods; and (e) assessment and training systems that have been proven effective and efficient across many domains and applications.

Materials & Electrochemical Research (MER) Corp.
7960 S. Kolb Rd.,
Tucson, AZ 85756
(520) 574-1980

PI: David Thweatt
(520) 574-1980
Contract #: N00014-13-P-1010
University of Arizona
1235 E. James E. Rogers Way, P.O. Box 210012
Tucson, AZ 85721
(520) 626-9656

ID#: O12B-T01-4014
Agency: OSD
Topic#: OSD12-T01      Awarded: 2/15/2013
Title: Improved Flotation Separation of Rare Earth Ore
Abstract:   MER and the University of Arizona (U of A) will carry out a multi-scale investigation on the flotation of Mountain Pass ore at different aqueous conditions, such as collector type and dosage, auxiliary reagent, and temperature. Froth flotation has been applied to concentrate the Mountain Pass ore for many years. However, rare earth oxide (REO) recovery at the Mountain Pass Mine is only about 65~70% which is quite low compared to sulfide flotation due to the similar surface chemistry of the bastnaesite and the gangue minerals such as calcite and barite. Currently, development of collectors with high selectivity for REO is hindered by lack of knowledge of the adsorption mechanism and therefore results in low flotation efficiency. This program will conduct both a systematic nano-scale and macro-scale investigation on the froth flotation behavior of REO at different aqueous conditions: collector type and dosage, auxiliary reagent, and temperature. The U of A has pioneered the use of atomic force microscopy (AFM) as a tool to study surface chemistry of minerals in metal-bearing ores. This study will help clarify the change in surface chemistry of different minerals in REO due to pulp chemistry. This investigation in coordination with Molycorp/Mountain Pass will set up a better flotation strategy to improve the REO recovery at lower cost.

Materials & Electrochemical Research (MER) Corp.
7960 S. Kolb Rd.,
Tucson, AZ 85756
(520) 574-1980

PI: James C. Withers
(520) 574-1980
Contract #: N00014-13-P-1005
University of Arizona
1235 E. James E. Rogers Way, P.O. Box 210012
Tucson, AZ 85721
(520) 621-4689

ID#: O12B-T04-4013
Agency: OSD
Topic#: OSD12-T04      Awarded: 2/15/2013
Title: Transformational and Environmentally Efficient Electrochemical and Hydrometallurgy Recovery of Rhenium from Secondary Sources
Abstract:   The goal of this research is to investigate transformational and environmentally efficient electrochemical and hydrometallurgical methods for extraction and recovery of rhenium from recycled superalloys or other rhenium- containing materials. The primary focus will be on the recovery of rhenium from second-generation (3% Re) and third- generation (6% Re) nickel based alloys used in the manufacture of single crystal high pressure turbine blades. The scope of work during the Phase I project will involve the collection and analysis of superalloy samples. In addition, relevant thermodynamic data will be obtained and used to develop thermo-chemical models for the electrochemical and hydrometallurgical dissolution reactions. Exploratory electrochemical experiments will be conducted to establish the dissolution behavior of the rhenium containing superalloys in various solution and electrolytes that will include electrorefining and collecting rhenium at the cathode. These results will be used to design large-scale electrochemical and hydrometallurgical dissolution tests.

Metal Oxygen Separation Technologies, Inc.
11 Michigan Drive,
Natick, MA 01760
(781) 898-3430

PI: Adam C. Powell
(781) 898-3430
Contract #: N00014-13-P-1138
Boston University
25 Buick Street,
Boston, MA 02215
(617) 353-4365

ID#: O12B-T03-4017
Agency: OSD
Topic#: OSD12-T03      Awarded: 4/16/2013
Title: Novel Electrolytic Extraction Processes for Scarce Elements
Abstract:   Metal Oxygen Separation Technologies, Inc. proposes a 6-month SBIR Phase I project to demonstrate feasibility of using molten salt electrolysis with a zirconia solid electrolyte to cleanly and efficiently produce dysprosium metal from its oxide. This Phase I project will have as its goal the design of a molten salt-zirconia-anode system in the context of an electrolysis cell for producing high-purity dense solid dysprosium. The project will take an Integrated Computational Materials Engineering (ICME) approach to model the thermodynamics, electrochemical kinetics, and macroscopic transport of the process, all validated by efficient use of experimentation. This work builds on years of experience developing this technology for other metals, enabling rapid results and more aggressive development goals.

QuesTek Innovations LLC
1820 Ridge Avenue,
Evanston, IL 60201
(847) 425-8211

PI: William Arthur Counts
(847) 425-8229
Contract #: N00014-13-P-1056
Northwestern University
1801 Maple Avenue, Suite 2410, Office of Sponsored Research
Evanston, IL 60201
(847) 491-3003

ID#: O12B-T05-4022
Agency: OSD
Topic#: OSD12-T05      Awarded: 1/25/2013
Title: Theory-Driven Protocols for Replacing Elemental Composition of Strategic Materials
Abstract:   Historically, materials discovery has been a costly and slow process that resulted either accidently from trial-and-error Edisonian experimentation or more deliberately based on the intuition gained from the trial-and-error approach. The time and cost needed to discover new materials using current approaches is on the order of millions of dollars and decades of research. In today’s world, technology is rapidly evolving and major industries depend on material advancement to bring new products to market. Thus, there is a need to accelerate materials discovery and development. In this STTR program, QuesTek Innovations LLC, a leader in ICME (Integrated Computational Materials Engineering), will partner with Professor Chris Wolverton from Northwestern University to develop a theory-driven compound discovery methodology. Our unique approach will involve high throughput DFT and data mining based approaches. With these tools, the materials design engineer will be able to start with a desired property or set of properties, and determine from these materials systems a collection of candidate compounds that can be explored further.

Reactive Innovations, LLC
2 Park Drive, Suite 4,
Westford, MA 01886
(978) 692-4664

PI: Karen Jayne
(978) 692-4664
Contract #: N00014-13-P-1139
Colorado School of Mines
1500 Illinois St,
Golden, CO 80401
(303) 273-3580

ID#: O12B-T02-4019
Agency: OSD
Topic#: OSD12-T02      Awarded: 5/1/2013
Title: Efficient Rare Earth Separation Technology
Abstract:   In this Phase I SBIR proposal, Reactive Innovations, LLC will demonstrate the technical and economic viability of a room temperature environmentally friendly technology for extraction and separation of light rare earth metals (lanthanides) with improved efficiency. Rare earths currently require multiple separation steps to yield high purity material. Decreasing the number of separation processes would significantly decrease the cost of the materials. Reactive Innovations proposes to demonstrate both the extraction and separation of individual lanthanides using an innovative technique in a novel solvent.

SANDIA RESEARCH CORPORATION
7565 E Eagle Crest Drive, SUITE 101
MESA, AZ 85207
(480) 988-1000

PI: Steven Shope
(480) 988-1000
Contract #: W911NF-13-C-0060
Arizona State University
7001 E. Williams Field Road,
Mesa, AZ 85212
(575) 571-0250

ID#: O12B-T08-2022
Agency: OSD
Topic#: OSD12-T08      Awarded: 5/1/2013
Title: Effective Cyber Situation Awareness (CSA) Assessment and Training
Abstract:   The recent increase in cyber attacks against United States critical assets has greatly expanded the need for effective cyber defenses. Human cyber analysts are an essential element in these efforts. Information overload and a concomitant lack of comprehensive cyber situation awareness are common problems that hamper the effectiveness of analysis. Systems that can carry out human-in-the-loop simulation of the cyber analysis task will lead to new capabilities in assessing the effectiveness of analysts and the support tools they use and will help enhance individual and team performance. This proposed Phase I effort will create a new capability for assessing cyber team effectiveness, cyber support tools, cyber training regimes, and the integration of multiple-component systems with human operators. We will develop a novel test-bed that provides a simulation environment for the cyber analysis task and that is equipped with measures of individual, team, and system effectiveness to allow for the assessment of cyber support tools and visualizations, cyber training regimes, and cyber concepts of operation. The effectiveness metrics embedded within the simulation system can provide real and meaningful measurement of analyst performance, can aid in selecting support tools, will optimize the use of human capital, and will provide better training protocols.

Scalable Network Technologies Inc
6100 Center Drive #1250,
Los Angeles, CA 90045
(310) 338-3318

PI: Esther Jennings
(310) 338-3318
Contract #: W911NF-13-C-0061
University of Delaware
401 Academy St,
Newark, DE 19716
(302) 831-1951

ID#: O12B-T08-2009
Agency: OSD
Topic#: OSD12-T08      Awarded: 4/15/2013
Title: Cognitive Task Analysis Based Modeling and Simulation Environment for Cyber Training and Assessment
Abstract:   The goal of the proposed work is to develop simulation and analysis model based on cognitive task analysis for cyber situation awareness, for human-in-the-loop testing and training. Cognitive task analysis technique is a prominent approach that captures knowledge representation used by experts to perform complex tasks. It provides a comprehensive vulnerability assessment using cognitive metrics to quantify risks. Situation awareness involves perception of evolving status and attributes of elements, comprehension of combined observations to evaluate current situation in order to make predictions of possible future based on past experience and knowledge. The overall system architecture of our proposed simulation model tool involves the following components: (1) Cognitive task analysis specification, (2) simulation model with defined cognitive metrics to quantify performance of vulnerability assessment, (3) visualization and interface to human-in-the-loop testing and training to determine psychological validity of the tool. For this work, we will collaborate with the Department of Computer and Information Sciences at University of Delaware. This forms a strong partnership because the proposed work is in-line with a NSF funded project at the university for Regional Cyber-security Education Initiative. The developed simulation and analysis models will be used as a tool for training cyber-security analysts.

Thor Technologies, Inc.
3013 Aztec Road NE,
Albuquerque, NM 87107
(505) 573-9908

PI: George Jacobsen
(505) 830-6986
Contract #: W911QX-13-C-0106
Southern Research Institute
2000 Ninth Avenue South, P.O. Box 55305
Birmingham, NM 35205
(205) 581-2809

ID#: O12B-T07-2018
Agency: OSD
Topic#: OSD12-T07      Awarded: 8/8/2013
Title: Cobalt-Free Environmentally Green Process to Produce Fine Grained WC
Abstract:   The proposed work will result in a method for production of dense, hard, tough, strong tungten carbide (WC) ceramic material for ultimate use as the penetrating core in armor piercing projectiles. Focus is on the development and feasibility of a titanium silicon carbide (Ti3SiC2) based matrix as a replacement for cobalt based materials currently used. Ti3SiC2 is a so called ductile ceramic which shows improved fracture toughness compared to most ceramic materials. Sintering agents to fuse the WC into a dense hard monoliths, including TiSi2, Ni, and/or ZrB2, will be utilized in dopant levels. Grain inhibitors, preceramic polymers, microwave processing, and other means of microstructure control will be utilized to keep grain size <1 um in the fully densified composite. Ceramic rods of this next generation WC material will be fabricated and hardness, density, and fracture toughness of the resulting ceramic measured.

UES, Inc.
4401 Dayton-Xenia Road,
Dayton, OH 45432
(937) 426-6900

PI: Dr. Carmen Carney
(937) 255-6910
Contract #: W911QX-13-C-0088
Pennsylvania State University
PO Box 30,
State College, PA 16804
(814) 865-0307

ID#: O12B-T07-2007
Agency: OSD
Topic#: OSD12-T07      Awarded: 6/27/2013
Title: HIGH STRENGTH AND TOUGHNESS TUNGSTEN CARBIDE (WC) WITH NON-COBALT (Co) MATRICES
Abstract:   Cemented cobalt-tungsten carbide is a material with attractive properties including high hardness and fracture toughness that has found success in a wide variety of applications ranging from drilling bits to armor piercing projectiles. However, with the classification of cobalt as a strategic and critical material that the US Department of Health and Human Services has classified as “reasonably anticipated to be a human carcinogen” a replacement is necessary. Carbides represent a group of materials with inherent high hardness and strength, but that are extremely brittle. This proposal seeks to increase the fracture toughness of tungsten carbide by two parallel processes: bottom up and top down. Nanosized tungsten carbide will be used in the bottom up process to produce highly dense fine-grained structures either through the refinement of commercial powder or of the sintering parameters. While the top-down approach will utilize powder production by arc melting of tungsten carbide and tungsten to produce fine lamella structures. By controlling the final sintered microstructure, the fracture toughness of the binderless tungsten carbide will be increased by producing a dense material with high hardness and strength.

<