Han Yu

Dr. Han Yu is an Associate Professor at the College of Computing and Data Science (CCDS), Nanyang Technological University (NTU), Singapore. He leads the TrustFUL Research Lab, focusing on trustworthy federated learning and ethical AI systems. His work bridges AI, data privacy, and collaborative computing, with over 300 publications in top conferences/journals. He holds prestigious fellowships and chairs roles in IEEE and AAAI. Dr. Yu earned his PhD in Computer Science from NTU in 2014, followed by postdoctoral research at the Lee Kuan Yew Fellowship. His research has been recognized with multiple awards, including World's Top 2% Scientists in AI and the TOYP Singapore honor.

Education: PhD (2014), BEng (2007), both from NTU's School of Computer Engineering. Professional roles include Associate Editor of IEEE TNNLS and sponsorship roles in IJCAI/WWW conferences. He has secured grants exceeding S$10M for projects like federated learning in healthcare and edge-cloud networks. His lab develops tools like FedVision and CrowdFL, addressing real-world challenges through federated learning frameworks. Dr. Yu also contributes to AI ethics education, teaching courses on ethical AI governance and sustainable computing.

His research spans federated learning security, multi-modal LLMs, and healthcare applications, with recent breakthroughs in quantum federated learning and privacy-preserving algorithms. Over 25 PhD students have graduated under his mentorship, contributing to industry and academia. Awards highlight his impact, including the Innovative Application of AI Award (AAAI 2025) and recognition in federated learning’s foundational work.