Dongsheng Ding - BiographyDongsheng Ding is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. 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. He was a Postdoctoral Researcher in the Department of Electrical and Systems Engineering at the University of Pennsylvania from September 2022 to July 2025. His research focuses on application of principles and tools in optimization and control to the study of requirement-driven machine decision-making. Topics of interest span: constrained reinforcement learning; multi-agent reinforcement learning; constrained generative models; constrained alignment of diffusion and large language models; robustness and resilience analysis of optimization algorithms; nonlinear control of fractional-order dynamical systems. Applications of interest include: autonomous robots/vehicles; generative artificial intelligence in applied science and engineering, such as natural language processing, image processing, and molecular design; decision-making systems for power grid, transportation, communication, and healthcare management. Awards and Honors
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