Justin Romberg
Dr. Justin Romberg is the Schlumberger Professor and Associate Chair for Research in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, where he has been on the faculty since 2006. Dr. Romberg received the B.S.E.E. (1997), M.S. (1999) and Ph.D. (2004) degrees from Rice University in Houston, Texas; in 2010, he was named a Rice University Outstanding Young Engineering Alumnus. From Fall 2003 until Fall 2006, he was a Postdoctoral Scholar in Applied and Computational Mathematics at the California Institute of Technology. His current research interesting lie at the intersection of statistical signal processing, machine learning, optimization, and applied probability.
Magnus Egerstedt
Magnus Egerstedt is the Stacey Nicholas Dean of Engineering, Professor of Electrical Engineering and Computer Science, and Professor of Mechanical and Aerospace Engineering at University of California, Irvine’s Samueli School of Engineering. He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt is a Fellow of the IEEE and a recipient of a number of research and teaching awards, including the Ragazzini Award from the American Automatic Control Council.
Panagiotis Tsiotras
Dr. Panagiotis Tsiotras is the Dean’s Professor at the School of Aerospace Engineering at Georgia Tech. At Georgia Tech, he is the Director of the Dynamics and Control Systems Laboratory and the Associate Director for Research for the Institute for Robotics and Intelligent Machines (IRIM). He is also affiliated with the Center for Space and Technology Research (C-STAR). He has held visiting appointments with at Ecole des Mines (Mines ParisTech), INRIA-Rocquencourt in France, JPL, and MIT. He received his PhD degree in Aeronautics and Astronautics from Purdue in 1993 and he also holds degrees in Mechanical Engineering and Mathematics. His current research interests are in optimal and nonlinear control and their connections with robotics and AI, with applications to ground, aerial and space vehicle autonomy. He is currently serving as the Chief Editor of the Frontiers in Space Robotics, while in the past he served at the Editorial Boards of AIAA Journal of Guidance, Control and Dynamics, the IEEE Transactions on Automatic Control, the IEEE Control Systems Magazine and the Journal on Dynamical and Control Systems. He is a recipient of the NSF CAREER award, the Sigma Xi Society Excellence in Research award, and the Astronautics’ Outstanding Aerospace Engineer award from Purdue. He is a Fellow of AIAA, a Senior Member of the IEEE and a member of the Phi Kappa Phi, Tau Beta Pi, and Sigma Gamma Tau honor societies.
Sonia Chernova
Sonia Chernova is an Assistant Professor in the School of Interactive Computing at Georgia Tech, where she directs the Robot Autonomy and Interactive Learning research lab. Chernova received B.S. and Ph.D. degrees in Computer Science from Carnegie Mellon University, and held positions as a Postdoctoral Associate at the MIT Media Lab and as Assistant Professor at Worcester Polytechnic Institute prior to joining Georgia Tech. Chernova’s research focuses on developing robots that are able to effectively operate in human environments. Her work spans robotics and artificial intelligence, including semantic reasoning, adjustable autonomy, human computation and cloud robotics. She is the recipient of the NSF CAREER, ONR Young Investigator and NASA Early Career Faculty awards.