This year, as part of the LIDS Student Conference, we will hold a panel discussion. entitled
"From LIDS@80 to LIDS@100 - discussing the future of the research in LIDS."

The panel will be held Thursday, January 30, 2020, from 4:30 - 5:30 p.m. in MIT Stata Center, Room 32-141.

Ali Jadbabaie
JR East Professor of Engineering in the department of Civil and Environmental Engineering
Associate Director of the Institute for Data, Systems, and Society (IDSS)
Director of the Sociotechnical Systems Research Center (SSRC)
Massachusetts Institute of Technology

Biography

Ali Jadbabaie is a recognized expert in the fields of network science, decision and control theory, and multi-agent coordination. Prof. Jadbabaie joined MIT from Penn, where he was the Alfred Fitler Moore Professor of Network Science in the Department of Electrical and Systems Engineering. Through his highly-cited and influential research, Prof. Jadbabaie has made fundamental contributions in optimization-based control, multi-agent coordination and consensus, network science, and network economics. He has won several prestigious awards, and his students and postdoctoral scholars have become professors within electrical, computer, and mechanical engineering departments in top universities and in eminent business schools. Prof. Jadbabaie received his BS from Sharif University of Technology in Tehran, his MS 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. He held secondary appointments in computer and information science and operations and information management in the Wharton School. Prof. Jadbabaie is 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. He is an IEEE fellow.

Eytan Modiano
Professor in the Department of Aeronautics and Astronautics
Associate Director of the Laboratory for Information and Decision Systems (LIDS)
Massachusetts Institute of Technology

Biography

Eytan Modiano is Professor in the Department of Aeronautics and Astronautics and Associate Director of the Laboratory for Information and Decision Systems (LIDS) at MIT. Prior to Joining the faculty at MIT in 1999, he was a Naval Research Laboratory Fellow between 1987 and 1992, a National Research Council Post Doctoral Fellow during 1992-1993, and a member of the technical staff at MIT Lincoln Laboratory between 1993 and 1999. Eytan Modiano received his B.S. degree in Electrical Engineering and Computer Science from the University of Connecticut at Storrs in 1986 and his M.S. and PhD degrees, both in Electrical Engineering, from the University of Maryland, College Park, MD, in 1989 and 1992 respectively. His research is on modeling, analysis and design of communication networks and protocols. He is the co-recipient of the Infocom 2018 Best paper award, the MobiHoc 2018 best paper award, the MobiHoc 2016 best paper award, the Wiopt 2013 best paper award, and the Sigmetrics 2006 best paper award. He is the Editor-in-Chief for IEEE/ACM Transactions on Networking, and served as Associate Editor for IEEE Transactions on Information Theory and IEEE/ACM Transactions on Networking. He was the Technical Program co-chair for IEEE Wiopt 2006, IEEE Infocom 2007, ACM MobiHoc 2007, and DRCN 2015. He had served on the IEEE Fellows committee in 2014 and 2015, and is a Fellow of the IEEE and an Associate Fellow of the AIAA.

David Sontag
Hermann L. F. von Helmholtz Career Development Professor in the Institute for Medical Engineering and Science (IMES)
Professor in the Department of Electrical Engineering and Computer Science (EECS)
Massachusetts Institute of Technology

Biography

David Sontag is the Hermann L. F. von Helmholtz Career Development Professor in the Institute for Medical Engineering and Science (IMES) and a Professor in the Department of Electrical Engineering and Computer Science (EECS). He is also a principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL). Professor Sontag’s research interests are in machine learning and artificial intelligence. As part of IMES, he leads a research group that aims to transform healthcare through the use of machine learning. Prior to joining MIT, Dr. Sontag was an Assistant Professor in Computer Science and Data Science at New York University’s Courant Institute of Mathematical Sciences from 2011 to 2016, and postdoctoral researcher at Microsoft Research New England from 2010 to 2011. Dr. Sontag received the Sprowls award for outstanding doctoral thesis in Computer Science at MIT in 2010, best paper awards at the conferences Empirical Methods in Natural Language Processing (EMNLP), Uncertainty in Artificial Intelligence (UAI), and Neural Information Processing Systems (NIPS), faculty awards from Google, Facebook, and Adobe, and a NSF CAREER Award. Dr. Sontag received a B.A. from the University of California, Berkeley.

Cathy Wu
Gilbert W. Winslow (1937) Career Development Assistant Professor, the department of Civil and Environmental Engineering (CEE)
Faculty/PI of the Laboratory for Information and Decision Systems (LIDS)
Core Faculty of the Institute for Data, Systems, and Society (IDSS)
Affiliated Member, Center for Deployable ML
Massachusetts Institute of Technology

Biography

Cathy Wu is an Assistant Professor at MIT in LIDS, CEE, and IDSS. She holds a PhD from UC Berkeley, and B.S. and M.Eng from MIT, all in EECS, and recently completed a Postdoc at Microsoft Research AI. She studies sequential decision making in the context of large-scale societal problems, and she draws from machine learning, optimization, control theory, and urban systems. Her recent research focuses on the challenges surrounding the integration of autonomy into existing urban systems. Her work has been acknowledged by several awards, including the 2019 IEEE ITSS Best Ph.D. Dissertation Award, 2019 Microsoft Location Summit Hall of Fame, 2018 Milton Pikarsky Memorial Dissertation Award, the 2016 IEEE ITSC Best Paper Award, and fellowships from NSF, Berkeley Chancellor, NDSEG, and Dwight David Eisenhower.