Dr. Sihong He
About
Dr. Sihong He is a Tenure-Track Assistant Professor at UTA, with a distinguished academic and research background in artificial intelligence, reinforcement learning, robust optimization, and robust learning. Dr. He earned her Ph.D. in Computer Science from the University of Connecticut, where her research focused on robust multi-agent reinforcement learning. Before that, she completed her Master's degree in Statistics at the University of California, Irvine, and her Bachelor's degree in Financial Mathematics from the Southern University of Science and Technology. Dr. He's interdisciplinary expertise spans artificial intelligence, reinforcement learning, cyber-physical systems, and robotics, significantly contributing to developing efficient, resilient, and safe frameworks that address complex challenges in embodied AI. Her work has been recognized with numerous awards, including the NSF CPS Rising Stars Award and the Rising Stars in AI.
Research Performance Summary
First Recorded Paper
Data-driven distributionally robust electric vehicle balancing for mobility-on-demand systems under demand and supply uncertainties
Year: 2020
Citations: 29
Venue: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems
Latest Recorded Paper
A Zero-shot LLM-based Framework for Descriptive Gene-gene Interaction Network Generation
Year: 2025
Citations: 0
Venue: ICML 2025 Generative AI and Biology (GenBio) Workshop
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.