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 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 created and launched ChatDKU (chatdku.dukekunshan.edu.cn), a RAG-agent AI chatbot designed for the DKU community. He teaches machine learning courses at DKU for both undergraduate and graduate students.

Prior to joining DKU, he was a joint Postdoctoral 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 the Kenneth Myers Memorial Scholarship (awarded to one recipient every two years) and the Robert Bage Memorial Scholarship. Before his academic career, he gained several years of industry experience as a Project Manager at China Mobile Corporation Headquarters.

Dr. Luo was awarded the Clare Hall Visiting Fellowship at the University of Cambridge, supporting his pre-tenure sabbatical in Fall 2026. He is a Senior Member of IEEE and an Honorary Assistant Professor at the University of Hong Kong.

For more information, please visit: https://luobing1008.github.io/