Dr. Ali Jadbabaie
Dr. Victor M. Preciado
Ali Jadbabaie received his B.S. degree in Electrical Engineering from Sharif University of Technology in 1995. He received his Masters degree in Electrical and Computer Engineering from the University of New Mexico, Albuquerque in 1997and a Ph.D. degree in Control and Dynamical Systems from California Institute of Technology in 2001. From July 2001-July 2002 he was a postdoctoral associate at the department of Electrical Engineering at Yale University. Since July 2002 he has been at the University of Pennsylvania, Philadelphia, PA, where he is currently a Professor of Electrical and Systems Engineering with a secondary appointment in Computer & Information Science and Operations and Information Management.
He is the founding co-director of the Singh Program in Market and Social Systems Engineering, an elite new undergraduate degree program at Penn that blends operations research, economics, and computer science with systems theory. He is a recipient of an NSF Career award, an ONR Young Investigator award, the O. Hugo Schuck Best Paper award of the American Automatic Control Council, and the George S. Axelby Outstanding Paper Award of the IEEE Control Systems Society. His students have been recipients and finalists of best student paper awards in the American Control Conference and IEEE Conference on Decision and Control. His research is broadly in the interface of control theory and network science, specifically, analysis, design and optimization of networked dynamical systems with applications to sensor networks, multi-robot formation control, opinion aggregation, social learning and other collective phenomena.
|Victor M. Preciado is the Raj and Neera Singh Assistant Professor of Electrical and Systems Engineering at the University of Pennsylvania. He received a Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 2008. His main research interests lie in the modeling, analysis, control and optimization of dynamical processes and strategic interactions in large-scale complex networks, with applications in social networks, electric power distribution, multi-agent systems, and biological networks.|