Data Driven Learning and Control seminar series is organized by the Information and Decision Science Lab at Cornell University and aims to explore the latest advancements and interdisciplinary approaches to data-driven learning and control systems.
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Bio: Francesco Bullo is Distinguished Professor of Mechanical Engineering at the University of California, Santa Barbara. He received the Laurea degree “summa cum laude” in electrical engineering from the University of Padova, Italy, in 1994, and the Ph.D. degree in control and dynamical systems from the California Institute of Technology in 1999. From 1998 to 2004, he was an assistant professor with the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. Since 2004 he has been at University of California, Santa Barbara; he is currently affiliated with the Department of Electrical and Computer Engineering, the Department of Computer Science, the Center for Control, Dynamical Systems and Computation, and the Dynamical Neuroscience Program.
Bullo’s research focuses on modeling, dynamics and control of multi-agent network systems, with applications to oscillator networks, robotic coordination, power systems, distributed computing and social networks. Previous work includes contributions to geometric control, Lagrangian systems, vehicle routing, and motion planning.