FUSION 2001 - POC CV

Special sessions

Keith Kastella received his Ph.D. in high energy physics from State University of New York at Stony Brook in 1988. In 1989 he joined Unisys (now Lockheed Martin) where he did research and development in a number of tracking and data fusion technologies. This includes mean field methods in event averaged maximum likelihood estimation, discrimination based sensor management, joint multitarget probability methods and finite difference methods for nonlinear filtering. In 1998 he joined Veridian ERIM International where he is a research engineer in the Advanced Information Systems Group.

Stanton Musick is employed in the Sensors Directorate of the Air Force Research Laboratory where he currently performs basic and applied research in the areas of fusion and sensor management. Past assignments in the lab focused on aided navigation systems with applications in radar, gravity modeling, helmet sight systems, land vehicle reference systems, and post-flight data analysis. Previously, he worked for System Development Corp and Rockwell Corp in missile guidance. He is the author of many papers and reports, and of a widely used set of computer programs for analysis of integrated systems. He received his MS in mathematics from Ohio State University and his BS in mechanical engineering from Akron University.

Dr. Liuzzi is a member of the Intelligent Information Systems Branch (IFTD) of the Information Directorate of the Air Force Research Labs (AFRL). The IFTD group performs leading edge research and exploratory and advanced development of knowledge bases and intelligent information systems for Air Force and other DoD agencies. It adapts and exploits commercially available information systems software and hardware for aerospace applications. It also conducts research and development in the areas of formal engineering paradigms; assured information system composition, operation and dynamic reconfiguration; and distributed, multi-source high performance information processing for knowledge acquisition and management. Finally it develops and tests advanced techniques for defensive information warfare.

Dr. Kokar is associate professor at Notheastern University in Boston. He works in Software Engineering, particularly formal logic/mathematics-based specifications and design of architectures and algorithms of self-controlling Software Information fusion software. His work in Information Fusion consists in developing software for an intelligent agent that can utilize its multiple sensors to understand the sensed world. The agent should be able to utilize in the perception process information from (either internal or external) databases and knowledge bases. In Intelligent Control he is investigating the issue of integration of qualitative (symbolic) methods with quantitative (numeric) methods for restructurable control, i.e., when the mathematical model of the controlled plant undergoes qualitative (structural) changes. Finally in Artificial Intelligence/Machine Learning he is investigating a logic-based structure for formal specification and design of learning agents and the applicability of physical similarity to learning qualitative descriptions of dynamical physical systems.

Allen M. Waxman is a Senior Staff member in the Sensor Exploitation Group at MIT Lincoln Laboratory, where he directs a research team focused on neural network modeling, multi-sensor fusion for surveillance, pattern learning and recognition, and sensor fused night vision. He also holds a joint appointment as an Adjunct Associate Professor in the Department of Cognitive and Neural Systems at Boston University. He received a B.S. degree in Physics from the City College of New York in 1973 and a Ph.D. degree in Astrophysics from the University of Chicago in 1978. Prior to joining Lincoln Laboratory in 1989, he performed research at MIT, the University of Maryland, the Weizmann Institute of Science (Israel), the Royal Institute of Technology (Sweden), and Boston University. In 1992 he was recipient of the Outstanding Research Award from the International Neural Network Society for work on 3D object learning and recognition. In 1996 he received the Best Paper Award from the IRIS Passive Sensors Group for work on real-time image fusion for color night vision. Current research efforts involve real-time multi-sensor image fusion in conjunction with 3D site models and 3D imaging, interactive fused image mining by trainable search agents, and client-server based exploitation and dissemination of 3D fused sensor data. Dr. Waxman holds three U.S. patents and has authored over eighty publications.

Lawrence Stone is chief operating officer of Metron, Inc., a consulting firm with offices in Reston, Virginia, Los Angeles, and San Diego. Located in the Reston office, he is responsible for developing new business and monitoring the financial operations of the corporation. He is also a member of the technical staff, acting as project manager and even as a technical staff member in projects managed by other people. Metron specializes in providing scientific solutions to problems in defense, government, and industry. Metron looks for problems and areas where the application of advanced mathematics, physical modeling, and computer science can provide important benefits to our clients. Most of Metron's projects involve formulating a mathematical model of a problem, developing a solution, and implementing the solution in software on a scientific workstation. Larry has a B.S. in mathematics from Antioch College and an M.S. and Ph.D. in mathematics from Purdue University. After graduation in 1967, he accepted a position with Daniel H. Wagner, Associates. While there, he was involved in planning search operations for the Navy. He wrote a book, Theory of Optimal Search, which was awarded the Operations Research Society's Lanchester Prize. He is co-author of the book "Bayesian Multiple Target Tracking" and a member of National Academy of Engineering in the US. He is presently involved in applying discrete Bayesian tracking approaches to submarine tracking problems, (underwater) mine identification problems, and joint tracking and discrimination problems for the National Missile Defense program in the US.

Mr. Stéphane Paradis received the B.Sc degree in computer sciences and mathematiques from Rimouski University and M.Sc. degree in computer sciences and artificial intelligence from Laval University. In 1989 he joined the Defence Research Establishment Valcartier (DREV), Canada, where he worked within the Surveillance team on signal processing and neural networks for the detection, the localization and the identification of military ground vehicles and helicopters. In 1995 he was transferred to the Decision Support Technologies Section at DREV where he has acquired over the years a fair expertise of information fusion in support of dynamic human decision-making. Mr. Paradis also participates in a program to study and integrate all levels of data fusion involved in the compilation and the analysis of the tactical picture, and to demonstrate the benefits of the integration. His current interests include situation and threat assessment, process refinement, pattern recognition and analysis using neural networks, and modeling and simulation.

James Llinas brings over 20 years of experience in multisource information processing and data fusion technology to his research, teaching, and business development activities. He is an internationally recognized expert in sensor, data, and information fusion, co-authored the first integrated book on Multisensor Data Fusion, and has lectured internationally for about 14 years on this topic. He is a Technical Advisor to the Defense Department's Joint Directors of Laboratories Data Fusion Group, a position he has held for 12 years. His experience in applying this technology to different problem areas ranges from defense applications to non-defense applications to include intelligent transportation systems, medical diagnostics, and condition-based maintenance, among others. Current research activities related to the field of Information Fusion include funded programs in Automated Reasoning; Distributed, Cooperative Problem-Solving; Scientific Foundations of Data Correlation Techniques; Fuzzy Logic for Adaptive Correlation and Tracking, among several others. Dr. Llinas created the concept for and is now Director for the newly created and USAF-sponsored "Center for Multisource Information Fusion" located at the State University of New York at Buffalo. This first-of-its-kind, University-based research center has now reached the point where it is receiving funding from a wide variety of clients, and is conducting basic research in Distributed Situational Estimation and in Correlation Science, among other topics. The Center has also established some research in non-defense applications to include multi-spectral mammography for breast cancer research, and condition-based maintenance for helicopter system maintenance.

Dr. S. S. Iyengar is the Chairman and Distinguished Research Master Award Winning Professor of Computer Science Department at Louisiana State University. He has been involved with research in high-performance algorithms, data structures, sensor fusion, data mining, and intelligent systems since receiving his Ph.D. degree (in 1974), his M.S. degree from the Indian Institute of Science (1970), and has directed over 30 Ph.D. dissertations, many of whom are faculty at major universities worldwide or scientist or engineers at National Labs/Industry around the world. He has served as a principal investigator on research projects support by the Office of Naval Research (ONR), Defense Advanced Research Project Agency (DARPA), the National Aeronautics and Space Administration (NASA), the National Science Foundation (NSF), California Institute of Technology's Jet Propulsion Laboratory (JPL), the Department of Navy-NORDA, The Department of Energy (DOE), LEQFS-Board of Regents, and the U.S. Army Research Office. His publications include 11 books (5 authored/coauthored textbooks + 6 edited) (Prentice-Hall Inc., CRC Press, Inc., IEEE Computer Society Press, John Wiley Co., etc.) and over 270 research papers in refereed journals and conferences in areas of high-performance parallel and distributed algorithms and data structures for image processing and pattern recognition, and distributed datamining algorithms for biological database. His books have been used in Berkeley, Purdue, University of Southern California, University of New Mexico etc. He was a visiting professor at the Jet Propulsion Laboratory-Cal. Tech, Oak Ridge National Laboratory, the Indian Institute of Science and University of Paris. Dr. Iyengar has served as an associate editor for IEEE/ guest editor for the IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions and SMC, IEEE Transactions on Software Engineering, Journal of Theoretical Computer Science, Journal of Computer and Electrical Engineering, the Journal of the Franklin Institute, Journal of American Society of Information Science, International Journal of High Performance Computing Applications etc. He has served on review panel committee for NSF, NASA, DOE-ORNL, US Army Research Office etc. He has been on the prestigious National Institute of Health-NLM Review Committee, in the area of Medical Informatics for four years. Dr. Iyengar is a series editor for Neuro-Computing of Complex Systems for CRC Press.

In 1998 Dr. Iyengar was the winner of the prestigious IEEE Computer Society Technical Achievement Award for Outstanding Contributions to Data Structures and Algorithms in Image Processing and Sensor Fusion Problems. This is the most prestigious research award from IEEE Computer Society. Dr. Iyengar was awarded the LSU Distinguished Faculty Award for Excellence in Research, "Hub Cotton Award for Faculty Excellence" and the LSU Tiger Athletic Foundation Teaching Award in 1996. He has been a consultant to several industrial and government organizations. (JPL, NASA etc.) In 1999, Professor Iyengar won the most prestigious research award titled Distinguished Research award and a university medal for his research contributions in optimal algorithms for sensor fusion/image processing.

He is also a Fellow of the Institute for Electrical and Electronics Engineers (IEEE), Fellow of American Association of Advancement of Science (AAAS), Williams Evans Fellow, IEEE Distinguished Visitor etc. He has been a Distinguished Lecturer for the IEEE Computer Science Society for the years 1995-1998, an ACM National Lecturer (1986-1992) and Member of Distinguished SIAM Lecturer Program (2000-2002). He is also a member of the ACM accreditation committee for 2000-2002. He is a member of the New York Academy of Sciences. He has been the Program Chairman for many national/international conferences. He has given over 50 plenary talks/keynote lectures at many national/international conferences. Sri Kumar is the program manager of the Sensor Information Technology (SensIT) program at the Defense Advanced Research Projects Agency (DARPA). The SensIT program is creating software to enable a networked system of cheap and plentiful microsensors, combining multiple sensor types, embedded processors, positioning ability and wireless communication. The program is conducting research in the areas of networking, sensor querying and tasking, collaborative information processing and fusion, and integration and experimentation. With the assistance of the U.S. Marine Corps, the program is building an experimental network of autonomous, distributed ground sensors to detect and track moving vehicles, transmit the information to remote site, and display it. Dr. Kumar received his Ph.D. from Yale University in Engineering and Applied Science. He is on assignment to DARPA from the National Institute of Standards and Technology (NIST), where he worked in the Advanced Network Technology Division. Prior to working at NIST, Dr. Kumar was the Director of the Information Technology Program at Northwestern University, as well as a faculty member in the Electrical Engineering and Computer Science Department. He has also held a faculty position in the Electrical, Computer, and Systems Engineering Department at Rensselaer Polytechnic Institute.

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Last Updated: 26 11 2001