FACULTY

Bing Luo

Assistant Professor of Data and Computational Science

Position:

Assistant Professor of Data and Computational Science

bing.luo@dukekunshan.edu.cn

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Educational Background

  • PhD: University of Melbourne, Australia, 2020
    – Awarded the Kenneth Myers Memorial Scholarship (one recipient every two years)
    – Awarded the Robert Bage Memorial Scholarship

Professional Experience​

  • 2025 – Present : Honorary Assistant Professor at the University of Hong Kong,
  • 2020-2022: Joint Postdoctoral Researcher at The Chinese University of Hong Kong (Shenzhen) and Yale University

Courses Taught​

  • Undergraduate Course
    CS 204: Introduction to Artificial Intelligence.
    CS 101: Introduction to Computer Science.
  • Graduate Course
    ECE 590: Practical Machine Learning
    ECE 586: Vector Space Methods with Applications

Research Areas​​

Dr. Bing Luo’s 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, ACM MobiHoc and ICLR. 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, a RAG-agent AI chatbot designed for the DKU community.

Additional Information​​

Dr. Luo was awarded the Clare Hall Visiting Fellowship at the University of Cambridge, supporting his pre-tenure sabbatical in Fall 2026.