Principal Investigator of SAIL Lab · Tenure-track Associate Professor, School of Computer Science,
Shanghai Jiao Tong University
Homepage: PI Homepage
GitHub: SAIL Lab GitHub ·
Personal GitHub
YouTube: AI Agent Research Channel
Shangding Gu received his Ph.D. in Computer Science from the Technical University of Munich (advised by Prof. Alois Knoll) and was a postdoctoral researcher at UC Berkeley (working with Prof. Costas Spanos and Prof. Dawn Song) before joining SJTU. His research spans safe reinforcement learning, robot learning, LLM agents, and trustworthy AI. He serves as a youth editorial board member for multiple international journals, a guest editor for IEEE TASE, an Area Chair for NeurIPS and IJCNN, and a chair/organizer of multiple international workshops and seminars. He has also delivered tutorials on safe reinforcement learning at major international conferences, including IJCAI and IEEE SmartGridComm. See his Google Scholar profile for the full publication record.
Ivan Smirnov — next at TU Darmstadt
Kathleen Baur — next at Cornell University
Jaafar Mhamed — next at Brainlab
Zheng Zhi — next at Agile Robots AG
Jiarui Zou — next at TUM
Manxi Sun — next at TUM
Jingyao Li — next at TUM
Donghao Song — collaborated with Derui Zhu
Interested in joining us? See Join Us for openings.
