Computer Science Seminar: Fei Miao

Description

Fei Miao, an associate professor in the School of Computing at the University of Connecticut, will give a talk titled "Learning and Control for Safety, Efficiency, and Resiliency of Embodied AI" for the Department of Computer Science.

Abstract:

The broad agenda of Fei Miao's work is to develop the foundations for the science of embodied artificial intelligence (AI)—that is, to assure safety, efficiency, robustness, and security of AI systems by integrating learning, optimization, and control. Miao's research interests span several technical fields, including multi-agent reinforcement learning, robust optimization, uncertainty quantification, control theory, and game theory. Application areas include connected and autonomous vehicles (CAVs), intelligent transportation systems and transportation decarbonization, smart cities, and power networks. Miao's research experience and current ongoing projects include robust reinforcement learning and control, uncertainty quantification for collaborative perception, game theoretical analysis for the benefit of information sharing for CAVs, data-driven robust optimization for efficient mobile cyber-physical systems (CPS), conflict resolution of smart cities, and resilient control of CPS under attacks. In addition to system modeling, theoretical analysis, and algorithmic design, Miao's work involves experimental validation in real urban transportation data, simulators, and small-scale autonomous vehicles.