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Bing Luo

Assistant Professor of Data and Computational Science at Duke Kunshan University
DKU Faculty

Overview


Bing Luo is an Assistant Professor of Data and Computational Science at the Division of Natural and Applied Science at Duke Kunshan University (DKU). Before joining DKU, he served as a Postdoctoral Research Fellow at CUHK(SZ) and Yale University. He received his Ph.D. in Electrical and Electronic Engineering from The University of Melbourne, supported by prestigious scholarships, including the Melbourne Research Scholarship, Robert Bage Memorial Scholarship, and Kenneth Myers Memorial Scholarship.
His research focuses on the theory and practice of federated/distributed machine learning and data analytics, wireless communications and networking, game theory, and optimization, with demo applications in edge-based artificial intelligence (Edge AI), privacy computing, Internet of Things (IoT), and 5G/6G wireless systems. He has published 20 first-author papers in leading journals and conferences, and actively contributes to the academic community by serving as a TPC/PC Member in leading conferences and workshops such as ICDCS, GLOBECOM, ICC, FL-NeurIPS, FL-ICML, FL-IJCAI, and FL-AAAI. More information can be found at: https://luobing1008.github.io/

Current Appointments & Affiliations


Assistant Professor of Data and Computational Science at Duke Kunshan University · 2022 - Present DKU Faculty

Education, Training & Certifications


University of Melbourne (Australia) · 2020 Ph.D.