Sihong He

I am Sihong He, an Assistant Professor in Computer Science at UTA.

I am looking for highly motivated Ph.D. students, research interns, visiting students to join my lab. If you are passionate about related research topics, please email me your CV, transcripts, and a brief description of your research interests to my Gmail. Please include ‘Future-Maverick’ in the email subject or body. (this is my email filter), and please don’t send cold emails to my UTA email unless you are a UTA student.

I received my Ph.D. degree from the Department of Computer Science and Engineering, University of Connecticut, working with Dr. Fei Miao. Before my Ph.D. journey at UConn, I received my M.S. degree in Statistics at UC Irvine in 2019 and my B.E. degree in Financial Mathematics in 2017 at SUSTC (南方科技大学) which was newly established in 2011 at Shenzhen, China. (click to read a short story about it).

My long-term research goal is to achieve General Embodied AI. Currently, I mainly focus on developing efficient, robust, secure, adaptive, and explainable decision-making strategies to advance General Embodied AI. My research interests include:

• Reinforcement Learning (RL): robust RL, multi-agent RL, federated RL, explainable RL, etc.
• Cyber-Physical Systems (CPS): smart city, intelligent transportation, connected autonomous vehicles, smart logistics, robotics, etc.
• Intelligent Decision-Making: LLM/Foundation models for decision making, explainable and safe decision-making.
• Control and Optimization: optimal control, robust optimization, distributionally robust optimization.

So far, my research has focused on robust multi-agent reinforcement learning for robust interconnected CPS, data-driven robust optimization for efficient mobile CPS, and on the security and safety of CPS. In addition to system modeling, theoretical analysis, and algorithm design, my work involves experimental validation of real-world data. My work has been published in prestigious journals and conferences including IROS, ICRA, ICML, NeurIPS, TITS, TCPS, TMC, and TMLR.

I am open to research discussions and collaboration. Please feel free to shoot me an email!