George J. Pappas

George J. Pappas is the UPS Foundation Professor and Chair of the Department of Electrical and Systems Engineering at the University of Pennsylvania. He also holds a secondary appointment in the Departments of Computer and Information Sciences, and Mechanical Engineering and Applied Mechanics. He is member of the GRASP Lab and the PRECISE Center. He has previously served as the Deputy Dean for Research in the School of Engineering and Applied Science. His research focuses on control theory and in particular, hybrid systems, embedded systems, hierarchical and distributed control systems, with applications to unmanned aerial vehicles, distributed robotics, green buildings, and biomolecular networks. He is a Fellow of IEEE, and has received various awards such as the Antonio Ruberti Young Researcher Prize, the George S. Axelby Award, the O. Hugo Schuck Best Paper Award, the National Science Foundation PECASE, and the George H. Heilmeier Faculty Excellence Award.

July 2020: George J. Pappas will be a semi-plenary speaker at the 2020 IFAC World Congress. More

May 2020: Best Paper Award, IEEE ICASSP, May 2020. More

Apr 2020: George J. Pappas will be a keynote speaker at CPSWEEK 2020. More

January 2020: George J. Pappas will be a plenary speaker at the Chinese Control Conference in Shenyang, China. More

November 2019: Andreea Alexandru is a Rising Star in EECS. More

September 2019: George J. Pappas is elected Fellow of IFAC. More

July 2019: Anastasios Tsiamis is a finalist for the Best Student Paper Award at ACC 2019. More

April 2019: Finalist for Best Paper Award at ICCPS 2019. More

December 2018: IEEE Control Systems Magazine Outstanding Paper Award. More

December 2017: V. Tzoumas is a finalist for the Best Student Paper Award at IEEE CDC. More

July 2017: T. Tsiamis is finalist for the Young Author Prize at IFAC 2017. More

May 2017: Best conference paper award at ICRA 2017. More

Model-based robust deep learning. Alex Robey, Hamed Hassani, George J. Pappas. Submitted

Better safe than sorry: Risk-aware nonlinear bayesian estimation, D. Kalogerias, L.F. Chamon, G. J. Pappas, A. Ribeiro, IEEE ICASSP 2020 (Best Paper Award)

Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas. NeurIPS 2019 (Oral Spotlight).

Finite Sample Analysis of Stochastic System Identification. Anastasios Tsiamis and George J. Pappas, In Proceedings of the 58th IEEE Conference on Decision and Control, Nice, France, December 2019.