Prof. Song Guo

Fellow of the RSC/CAE/IEEE

The Hong Kong University of Science and Technology, Hong Kong, China

Abstract

To be announced.

Biography

Song Guo is the Director of the HKUST Center of Physical AI and a Chair Professor in the Departments of Computer Science & Engineering (CSE) and Electrical & Computer Engineering (ECE) at HKUST. In recognition of his academic leadership, he was awarded a Changjiang Chair Professorship by the Ministry of Education of China.

His research interests are mainly in Large Language Model, Physical AI, and Machine Learning Systems. As a Highly Cited Researcher (Clarivate Web of Science), he published many papers in top venues with wide impact in these areas and received over a dozen Best Paper Awards from IEEE/ACM. He is also the recipient of Edward J. McCluskey Technical Achievement Award in 2024, First Prize in Natural Science (Shanghai Science and Technology Award) in 2024, First Prize in Natural Science (China Electronics Society) in 2023, etc.

Prof. Guo is a world-renowned leader in Physical AI, making fundamental and pioneering contributions to the development of intelligent robotic systems, world models, embodied AI, and foundation models for physical-world interaction. His research advances the architectures, algorithms, and systems that enable robots and AI agents to perceive, reason, plan, and act in complex real-world environments. His work has created significant impact, from generating new scientific knowledge to developing innovative technologies for next-generation robotics and physical AI. He is a Fellow of The Royal Society of Canada (FRSC), Fellow of the Canadian Academy of Engineering (FCAE), Member of Academia Europaea (MAE), and Fellow of the IEEE (FIEEE).