Bing Luo

Bing Luo is an Assistant Professor of Data and Computational Science at Duke Kunshan University (DKU). He also serves as an Honorary Assistant Professor at the University of Hong Kong. Prior to joining DKU, he was a joint Postdoc Researcher at The Chinese University of Hong Kong (Shenzhen) and Yale University. He received his Ph.D. from The University of Melbourne, where he was awarded both the Kenneth Myers Memorial Scholarship (granted to one recipient every two years) and the Robert Bage Memorial Scholarship. Prior to his academic career, he gained several years of industry experience as a Project Manager at China Mobile Corporation Headquarters. He was awarded the Clare Hall Visiting Fellowship at the University of Cambridge, supporting his pre-tenure sabbatical in Fall 2026.

His research focuses on the theory and practice of federated and edge learning, as well as LLM-based agentic systems. His work has been published in leading journals and conferences including IEEE JSAC, TCOM, TMC, INFOCOM, ICDCS, and ACM MobiHoc. His team has developed and open-sourced FedKit, the world’s first cross-platform on-device federated learning framework for both Android and iOS, which has been deployed in FedCampus, DKU’s privacy-preserving health data platform. His group also developed and launched ChatDKU (chatdku.dukekunshan.edu.cn), a RAG-agent AI chatbot designed for the DKU community. He is a senior member of the IEEE. For more information, please visit his webpage:  https://luobing1008.github.io/