I am Shuqi (Suky) Wang, a PhD student in the School of Automation and Intelligent Sensing, Shanghai Jiao Tong University (SJTU), advised by Prof. Xiang Yin in the CPS group. I work on safety control theory for AI-embedded cyber-physical systems, with a particular focus on using conformal prediction as a safety interface between learning-based perception/decision modules and physical control loops. More >

Prior to my PhD, I earned my bachelor's degree in Artificial Intelligence (Robotics) Honored Class from SJTU. I have also worked at the National University of Singapore (NUS) AI4SG Lab with Prof. Yi-Chieh (EJ) Lee.

Research Interests:

• Conformal Safety Interfaces. Wrapping black-box AI modules (VLMs, neural predictors, learned dynamics) with distribution-free, finite-sample guarantees, and propagating these guarantees through planning and control layers for end-to-end safety.
• Uncertainty-Aware Learning-Based Control. Chance-constrained neural MPC, sampling-based control (MPPI) with information-theoretic guarantees, and formal diagnosability of discrete-event systems under statistical uncertainty.

If you are interested in research collaboration, feel free to contact me.

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