AACC Award Recipients
(Click a recipient to expand more information)
Dimitri P. Bertsekas' undergraduate studies were in engineering at the National Technical University of Athens, Greece. He obtained his MS in electrical engineering at the George Washington University, Wash. DC in 1969, and his Ph.D. in system science in 1971 at the Massachusetts Institute of Technology.
Dr. Bertsekas has held faculty positions with the Engineering-Economic Systems Dept., Stanford University (1971-1974) and the Electrical Engineering Dept. of the University of Illinois, Urbana (1974-1979). Since 1979 he has been teaching at the Electrical Engineering and Computer Science Department of the Massachusetts Institute of Technology (M.I.T.), where he is currently McAfee Professor of Engineering. He consults regularly with private industry and has held editorial positions in several journals. His research at M.I.T. spans several fields, including optimization, control, large-scale computation, and data communication networks, and is closely tied to his teaching and book authoring activities. He has written numerous research papers, and fifteen books, several of which are used as textbooks in MIT classes.
Professor Bertsekas was awarded the INFORMS 1997 Prize for Research Excellence in the Interface Between Operations Research and Computer Science for his book "Neuro-Dynamic Programming" (co-authored with John Tsitsiklis), the 2000 Greek National Award for Operations Research, the 2001 ACC John R. Ragazzini Education Award, and the 2009 INFORMS Expository Writing Award. In 2001, he was elected to the United States National Academy of Engineering for "pioneering contributions to fundamental research, practice and education of optimization/control theory, and especially its application to data communication networks."
Dr. Bertsekas' recent books are "Introduction to Probability: 2nd Edition" (2008), Convex Optimization Theory (2009), "Dynamic Programming and Optimal Control, Vol. II: Approximate Dynamic Programming" (2012), and "Abstract Dynamic Programming" (2013), all published by Athena Scientific.
Hamsa Balakrishnan is an Associate Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology. Her research is in the design, analysis, and implementation of control and optimization algorithms for large-scale cyber-physical infrastructures, with an emphasis on air transportation systems. Her contributions include airport congestion control algorithms, air traffic routing and airspace resource allocation methods, machine learning for weather forecasts and flight delay prediction, and methods to mitigate environmental impacts. Her work spans theory and practice, including both algorithm development and real-world field tests.
Dr. Balakrishnan is a member of the Operations Research Center (ORC) and the Laboratory for Information and Decision Systems (LIDS) at MIT. Before joining MIT, she was at the NASA Ames Research Center, after receiving her PhD from Stanford University and a B.Tech. from the Indian Institute of Technology Madras.
Dr. Balakrishnan received the Lawrence Sperry Award from the American Institute of Aeronautics and Astronautics (2012), the inaugural CNA Award for Operational Analysis (2012), the Kevin Corker Award for Best Paper at the FAA/Eurocontrol Air Traffic Management R&D Seminar (2011), and an NSF CAREER Award (2008). She is an Associate Fellow of the AIAA.
Roger Brockett is An Wang research professor of Electrical Engineering and Computer Science at Harvard University. He was a student at Case Institute of Technology and did his Ph.D. work under the supervision of Mihajlo D. Mesarovic, in the Systems Research Center then led by Donald P. Eckman. Prior to joining the Harvard faculty in 1969, he taught for six years in the Electrical Engineering department at MIT, where he developed the textbook Finite Dimensional Linear Systems and involved graduate students in a range of topics centering on stability theory and applications. At Harvard, working along side of Y.C. Ho and an outstanding group of younger colleagues, he initially focused on the theory and applications of nonlinear systems emphasizing the use of differential geometric ideas. In the mid 1980s, fostered in part by the new NSF Engineering Research Center imitative and the ARO MURI program administered by Jagdish Chandra, the focus of his research turned to the application of control theoretic ideas to problems in robotics, computer vision and other aspects of intelligent machines. An important part of this transition was the development of a broadly inclusive robotics laboratory, engaging a number of Harvard faculty members as well as involving, long-term collaborations with colleagues and former students at Brown University, the University of Maryland, and MIT. His teaching has involved the development of courses for engineering students, ranging from a freshman design course to graduate level teaching across the field of control. His Ph.D. students and post doctoral researchers have, in many cases, gone on to become leaders in the field with their accomplishments being recognized, not only through their “day jobs” as teachers, researchers and managers, but also through their participation in the operation and editorial processes of some of the participating societies of the ACC.
2014: Richard P. Mason, Richard P. Mason, and Antonis PapachristodoulouRecipient of ACC Best Student Paper Award
A. Stephen Morse was born in Mt. Vernon, New York. He received a BSEE degree from Cornell University, MS degree from the University of Arizona, and a Ph.D. degree from Purdue University. From 1967 to 1970 he was associated with the Office of Control Theory and Application (OCTA) at the NASA Electronics Research Center in Cambridge, Mass. Since 1970 he has been with Yale University where he is presently the Dudley Professor of Engineering. His main interest is in system theory and he has done research in network synthesis, optimal control, multivariable control, adaptive control, urban transportation, vision-based control, hybrid and nonlinear systems, sensor networks, and coordination and control of large grouping of mobile autonomous agents. He is a Fellow of the IEEE, a past Distinguished Lecturer of the IEEE Control System Society, and a co-recipient of the Society's 1993 and 2005 George S. Axelby Outstanding Paper Awards. He has twice received the American Automatic Control Council's Best Paper Award and is a co-recipient of the Automatica Theory/Methodology Prize. He is the 1999 recipient of the IEEE Technical Field Award for Control Systems. He is a member of the National Academy of Engineering and the Connecticut Academy of Science and Engineering.
Text of Acceptance Speech: President Rhinehart, Lucy, Danny, fellow members of the greatest technological field in the world, I am to, say the least, absolutely thrilled and profoundly humbled to be this years recipient of the Richard E. Bellman Control Heritage Award. I am grateful to those who supported my nomination, as well to the American Automatic Control Council for selecting me.
Hongtei Eric Tseng received the B.S. degree from National Taiwan University, Taipei, Taiwan in 1986. He received the M.S. and Ph.D. degrees from the University of California, Berkeley in 1991 and 1994, respectively, all in Mechanical Engineering.
Since he joined Ford Motor Company in 1994, he has contributed to a number of technologies that lead to production vehicle implementation, including vehicle state estimation for Ford’s Roll Stability Control system (RSC) which is implemented on both Ford and Volvo vehicles; the design/development of fault detection on Ford’s engine only traction control and AdvanceTrac systems. His research work includes a low pressure tire warning system using wheel speed sensors; traction control; electronic stability control, and interactive vehicle dynamics control; real-time interactive powertrain control emulation through a motion based vehicle simulator; engine and transmission coordination control to improve shift feel; real-time model predictive control for vehicle applications in automated evasive maneuvers. His technical achievement at Ford has been recognized with Henry Ford Technical Fellow Award in 2004, 2010, and 2011. His current interest includes both powertrain and vehicle dynamics control. He is currently a Technical Leader in Controls Engineering at Research and Innovation Center, Ford Motor Company.
Eric has numerous patents and is the author/coauthor of over 70 publications including chapters in two handbooks (The Control Handbook, 2nd edition, and Road and Off-road Vehicle System Dynamics Handbook). He was the recipient of the Best Paper Award from 2012 International Conference on Bond Graph Modeling, and the Best Paper Award from International Symposium of Advanced Vehicle Control (AVEC) in 2006 and 2010. He has been a member of the AVEC International Science Committee since 2010 and a member of International Federation of Automotive Control (IFAC) Technical Committee since 2007.
Vijay Gupta is with the Department of Electrical Engineering at the University of Notre Dame. He received his B. Tech degree from the Indian Institute of Technology, Delhi and the M.S. and Ph.D. degrees from the California Institute of Technology, all in Electrical Engineering. Prior to joining Notre Dame, he also served as a research associate in the Institute for Systems Research at the University of Maryland, College Park. He received the NSF CAREER award in 2009, and the Ruth and Joel Spira award for excellence in teaching in 2010. His research interests include cyber-physical systems, distributed estimation, detection and control, and, in general, the interaction of communication, computation and control.