Federated Cloud Computing Expands Medical Large Models and Embodied Artificial Intelligence

CSE Distinguished Seminar

Speaker: Kai Hwang
Honorary Professor
University of Southern California, USA
The Chinese University of Hong Kong (Shenzhen)

Title: Federated Cloud Computing Expands Medical Large Models and Embodied Artificial Intelligence

Date: Friday, 27 March 2026

Time: 10:00am - 11:00am

Venue: Room 2504 (via lift 25/26), HKUST

Abstract:

Artificial intelligence and universal cloud-based medical and health services are becoming frontier research directions. This report provides a systematic analysis of the current development of AI technologies and their performance evaluation. It examines the federated cloud computing platforms, analyzes their learning capabilities, and evaluates their applications in the medical field. The discussion of intelligent robotics focuses on their morphology and motion mechanisms, perception and learning processes, and human–machine collaborative cognitive abilities. It also explores AI systems in terms of stability, scalability, privacy protection, and hospital automation (Agentic AI). The report will use Google’s Gemini as an example to illustrate the application of ecosystem mapping for biomedical large models.

The related work is based on a joint research platform supported by The Chinese University of Hong Kong (Shenzhen), the Shenzhen Institute of AI and Robotics for Society (AIRS), and the Cloud Computing Research Center of the Chinese Academy of Sciences. The research mainly focuses on the development and performance optimization of intelligent cloud medical big data. In collaboration with Inspur Corporation, the team has built a prototype medical system based on a 5G and big-data supercomputing platform, which received the 2021 Wu Wenjun AI Natural Science Award. The report will review the development trends of brain–computer interface technologies, aiming to provide theoretical references and practical insights in AI-driven medical technologies.

Biography:

Kai Hwang received his Ph.D. in Computer Science from the University of California, Berkeley. He taught for many years at Purdue University and the University of Southern California. In 2018, he joined The Chinese University of Hong Kong (Shenzhen) as a full-time Chair Professor. His areas of expertise include high-performance computing, AI, and the Internet of Things. Stanford University has listed him among the top 2% of computer scientists worldwide. The AIRS team led by Professor Hwang built China’s first intelligent cloud computing system in 2020, supporting AI and distributed healthcare through intelligent computing across cloud and edge environments.

Professor Hwang has mentored many students worldwide, graduating 30 Ph.D. students in computer science, and has trained eight academicians of the Chinese Academy of Sciences and the Chinese Academy of Engineering. In 2005, the China Computer Federation (CCF) awarded him the first Overseas Distinguished Contribution Award in Science and Technology Education. He also received the 2012 World Cloud Computing Conference (CloudCom) Lifetime Achievement Award. Even after retirement, he remains passionate about high-tech innovation, serving as a chief scientific advisor and participating in specialized academic exchange.