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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Control problems for surveillance and guidance of crowds
We consider control systems representing a set of agents monitoring and guiding a crowd. Three specific applications are considered: traffic management via autonomous vehicles, pedestrian surveillance and guidance via drones, and monitoring and influencing opinion dynamics. Mathematically, this amounts to a multiscale optimal control problem. The agents’ dynamics are modeled at the microscopic level, while the general crowds are modeled at the macroscopic level.
Bio: Benedetto Piccoli is the Joseph and Loretta Lopez Chair Professor of Mathematics as well as a Distinguished Professor in the Department of Mathematical Sciences at Rutgers University-Camden.
An applied mathematics scholar, Piccoli’s research focuses on applying advanced mathematical methods to science, engineering, and health. His areas of expertise include mathematical and computational models, ordinary and partial differential equations, control systems, and measure theoretic approaches. His research interests include control and hybrid systems, social and crowd dynamics, vehicular traffic, network flows, social determinants of health, optimal control for biomedical and biomechanical systems, HIV infections, cancer immuno-therapies, and biological rhythms.