There will be three plenary speakers at ICC 2018:
Girish Deodhare, Programme Director, Aeronautical Development Agency
TITLE: Evolution of Flight Control Laws for the Indian Light Combat Aircraft – Tejas
BIOGRAPHY: Dr. Girish S. Deodhare received his B.Tech and M.Tech degrees from the Indian Institute of Technology Bombay and the Ph.D degree from the University of Waterloo, all in Electrical Engineering. After completing his Ph.D in 1990, he joined the Centre for Artificial Intelligence and Robotics, a research laboratory under DRDO. In 2007 he moved to the Aeronautical Development Agency (ADA) as Scientist G. In April 2017 he took over as the Programme Director (Combat Aircraft) and Director of ADA. During his distinguished career, he oversaw the development of the control law of the Light Combat Aircraft (LCA). He has published more than 40 publications in peer reviewed International Journals and Conferences. He has received several honours and awards in recognition of his technological contributions, including the DRDO Technological Award, the Young Engineer’s Award from the Indian National Academy of Engineering, the Marconi International Fellowship’s “Young Scientist Award”, the Technology Shield, the National Aeroautical Prize, the DRDO Award for Performance Excellence, and the Distinguished Alumnus Award from IIT Bombay.
Ali Jadbabaie, Massachusetts Institute of Technology
TITLE: Collective Phenomena in Complex Networks
ABSTRACT: In this talk, I will present an overview of my research in the past decade on collective behavior in networked,natural, engineering, and social systems. These collective phenomena include social aggregation in animals such as schooling, herding, and flocking, as well as emergence of consensus, swarming, and synchronization in complex network of interacting dynamic systems such as mobile roots and sensors. A common underlying theme in this line of study is to understand how a desired global behavior such as consensus, synchronization or learning can emerge from purely local interactions. The evolution of these ideas into social systems has lead to a new theory of collective decision making among human agents. Examples include participation decisions in uprisings, social cascades and investment decisions in public goods. I will investigate distributed strategies for information aggregation, social learning and detection problems in networked systems where heterogeneous agents with different observations (with varying quality and precision) coordinate to learn a true state (e.g., finding aggregate statistics or detecting faults and failure modes in spatially distributed wireless sensor networks, or deciding suitability of a political candidate, quality of a product,and forming opinions on social issues of the day in social networks) using a stream of private observations and interaction with neighboring agents. I will end the talk with a a new vision for graduate education at the interface of information and decision systems, data science and social sciences
BIOGRAPHY: Ali Jadbabaie is the JR East Professor of Engineering and Associate Director of the Institute for Data, Systems and Society at MIT, where he is also on the faculty of the department of civil and environmental engineering and is a principal investigator in the Laboratory for Information and Decision Systems (LIDS). He is the director of the Sociotechnical Systems Research Center, one of MITâ€™s 13 laboratories. He received his Bachelors (with high honors) from Sharif University of Technology in Tehran, Iran, a Masters degree in electrical and computer engineering from the University of New Mexico, and his PhD in control and dynamical systems from the California Institute of Technology. He was a postdoctoral scholar at Yale University before joining the faculty at Penn in July 2002. Prior to joining MIT faculty, he was the Alfred Fitler Moore a Professor of Network Science and held secondary appointments in computer and information science and operations, information and decisions in the Wharton School. He was the inaugural editor-in-chief of IEEE Transactions on Network Science and Engineering, a new interdisciplinary journal sponsored by several IEEE societies. He is a recipient of a National Science Foundation Career Award, an Office of Naval Research Young Investigator Award, the O. Hugo Schuck Best Paper Award from the American Automatic Control Council, and the George S. Axelby Best Paper Award from the IEEE Control Systems Society. His students have been winners and finalists of student best paper awards at various ACC and CDC conferences. He is an IEEE fellow and a recipient of the Vannevar Bush Fellowship from the office of Secretary of Defense. His current research interests include the interplay of dynamic systems and networks with specific emphasis on multi-agent coordination and control, distributed optimization, network science, and network economics.
Rajesh Rajamani, University of Minnesota
TITLE: Interesting Problems in Estimation and Control on Autonomous Road Vehicles
ABSTRACT: A number of exciting vehicle automation and active safety systems are being developed by research groups around the world. This talk focuses on novel sensors, estimation algorithms and control systems that can fill critical gaps in the automation technologies under development. The first part of this seminar describes interesting sensing and estimation solutions that can significantly improve the effectiveness of active safety systems. The solutions discussed here include tire deformation sensors, observers for parameter varying nonlinear systems, unknown disturbance observers for predicting and preventing tripped rollovers, and magnetic sensor based algorithms for detection of imminent unavoidable crashes. The second part of the seminar describes the development of a new class of narrow commuter vehicles designed to address traffic congestion, improve highway mobility and provide very high fuel economy. Results from a prototype narrow vehicle with stability-enhancing automatic tilt control developed at the University of Minnesota are presented. The final part of the seminar describes the development of a smart bicycle with instrumentation that can track trajectories of nearby vehicles on the road and provide warnings to the motorist, if a potential car-bicycle collision is detected. Significant challenges from sensor cost and size constraints for a bicycle, and from the need to track highly complex collision scenarios are discussed. Experimental results and videos of the smart bicycle system’s performance are presented.
BIOGRAPHY: Rajesh Rajamani obtained his M.S. and Ph.D. degrees from the University of California at Berkeley in 1991 and 1993 respectively and his B.Tech degree from the Indian Institute of Technology at Madras in 1989. He is currently Professor of Mechanical Engineering at the University of Minnesota. His active research interests include sensing and estimation for autonomous vehicles and other smart systems.
Dr. Rajamani has co-authored over 125 journal papers and is a co-inventor on 13 patent applications. He is the author of the popular book “Vehicle Dynamics and Control” published by Springer Verlag. Dr. Rajamani is a Fellow of ASME and has been a recipient of the CAREER award from the National Science Foundation, the 2001 Outstanding Paper award from the journal IEEE Transactions on Control Systems Technology, the Ralph Teetor Award from SAE, and the 2007 O. Hugo Schuck Award from the American Automatic Control Council.
Several inventions from his laboratory have been commercialized through start-up ventures co-founded by industry executives. One of these companies, Innotronics, was recently recognized among the 35 Best University Start-Ups of 2016 in a competition conducted by the US National Council of Entrepreneurial Tech Transfer.