invited Speakers

yaakov bar-shalom , university of connecticut
james llinas, state university of new york

Yaakov bar-shalom

Target Tracking and Data Fusion: How to Get the Most Out of Your Sensors


Professor Yaakov Bar­Shalom was born on May 11, 1941. He received the B.S. and M.S. degrees from the Technion, Israel Institute of Technology, in 1963 and 1967 and the Ph.D. degree from Princeton University in 1970, all in electrical engineering. From 1970 to 1976 he was with Systems Control, Inc., Palo Alto, California. Currently he is Board of Trustees Distinguished Professor in the Dept. of Electrical and Computer Engineering and Marianne E. Klewin Professor in Engineering at the University of Connecticut. He is also Director of the ESP (Estimation and Signal Processing) Lab. His current research interests are in estimation theory, target tracking and data fusion. He has published over 400 papers and book chapters in these areas and in stochastic adaptive control. He coauthored the monograph Tracking and Data Association (Academic Press, 1988), the graduate texts Estimation and Tracking: Principles, Techniques and Software (Artech House, 1993), Estimation with Applications to Tracking and Navigation: Algorithms and Software for Information Extraction (Wiley, 2001), the advanced graduate texts Multitarget­Multisensor Tracking: Principles and Techniques (YBS Publishing, 1995), Tracking and Data Fusion (YBS Publishing, 2011), and edited the books Multitarget­Multisensor Tracking: Applications and Advances (Artech House, Vol. I, 1990; Vol. II, 1992; Vol. III, 2000). He has been elected Fellow of IEEE for "contributions to the theory of stochastic systems and of multi­target tracking". He has been consulting to numerous companies and government agencies, and originated the series of Multitarget­Multisensor Tracking short courses offered via UCLA Extension, at Government Laboratories, private companies and overseas. During 1976 and 1977 he served as Associate Editor of the IEEE Transactions on Automatic Control and from 1978 to 1981 as Associate Editor of Automatica. He was Program Chairman of the 1982 American Control Conference, General Chairman of the 1985 ACC, and Co­Chairman of the 1989 IEEE International Conference on Control and Applications. During 1983­87 he served as Chairman of the Conference Activities Board of the IEEE Control Systems Society and during 1987­89 was a member of the Board of Governors of the IEEE CSS. He was a member of the Board of Directors of the International Society of Information Fusion (1999--2004) and served as General Chairman of FUSION 2000, President of ISIF in 2000 and 2002 and Vice President for Publications in 2004-11. In 1987 he received the IEEE CSS Distinguished Member Award. Since 1995 he is a Distinguished Lecturer of the IEEE AESS and has given numerous keynote addresses at major national and international conferences. He is co­recipient of the M. Barry Carlton Award for the best paper in the IEEE Transactions on Aerospace and Electronic Systems in 1995 and 2000 and recipient of the 1998 University of Connecticut AAUP Excellence Award for Research. In 2002 he received the J. Mignona Data Fusion Award from the DoD JDL Data Fusion Group. He is a member of the Connecticut Academy of Science and Engineering. In 2008 he was awarded the IEEE Dennis J. Picard Medal for Radar Technologies and Applications.

james llinas

Algorithmic, Architectural, and Employment Concept Challenges Presented by the Hard + Soft Data Fusion Problem


Doctor James Llinas is an Emeritus Full Professor in the Departments of Industrial and Systems Engineering and also dual-appointed in the Department of Electrical Engineering at the State University of New York at Buffalo, in Buffalo, New York, USA. He has been a Professor at the University for approximately 20 years after a long career both as a manager and senior scientist at various research companies in the USA. Dr. Llinas brings over 35 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 over 30 years on this topic. In addition to the original book, Dr. Llinas is also the co-editor of the “Handbook of Multisensor Data Fusion” published in 2001, and of a new Handbook of Distributed Multisensor Data Fusion to be published in 2012. Dr. Llinas was a Technical Advisor to the Defense Department’s Joint Directors of Laboratories Data Fusion Group, the only US DoD technology oversight group for Data Fusion, a position he held for 20+ years, being a major contributor to the formulation of the modern, international standard Data Fusion Process Model. Dr. Llinas is a recipient of the Joseph Mignona Award (1999), given to one person per year by the U.S. DoD Data Fusion Group as signifying lifelong contributions to the field of Data Fusion. 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 programs in Hard and Soft Fusion for Counter-Insurgency applications, Graph Matching techniques for Situation Awareness, Multilook SAR Target Recognition, Test and Evaluation Techniques for Distributed Fusion, and Information Fusion for Natural Disasters, among several others.