Biography

Dongsheng Ding is a Postdoctoral Researcher in the Department of Electrical and Systems Engineering at the University of Pennsylvania. He received the BE in Automation and ME in Control Theory and Engineering from Zhejiang University, Hangzhou, China, in 2011 and 2015, the MS in Electrical Engineering from the University of Minnesota, Twin Cities, in 2017, and the PhD in Electrical Engineering from the University of Southern California, in 2022. His research interests lie in the interface of Optimization and Control, Machine Learning and Game Theory, and Probability and Statistics. His primary focus is developing reinforcement learning approaches for optimally controlling constrained and multi-agent dynamical systems, with applications in autonomous decision-making systems, toward a vision of safe, reliable, and trustworthy artificial intelligence systems. Also, he is interested in understanding other practical optimization and control problems, and developing adaptive, robust, and resilient algorithms to tackle them.

Awards and Honors

  • Scholar Award, Conference on Neural Information Processing Systems, 2023

  • Expert Reviewers, International Conference on Machine Learning, 2021

  • Top Reviewers, International Conference on Machine Learning, 2020

  • Travel Award, IEEE Conference on Decision and Control, 2020

  • Travel Award, American Control Conference, 2018, 2019

  • MHI PhD Scholar Finalist, ECE, University of Southern California, 2018 & 2021

  • ECE Department Fellowship, University of Minnesota, 2015

  • Honor for Outstanding Graduate Student, Zhejiang University, 2015

  • National Scholarship, Ministry of Education of P.R. China, 2011