Academic Profile : Faculty

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Assoc Prof Chee Wei Tan
Associate Professor, College of Computing & Data Science
Dr. Tan received the M.A and Ph.D. degrees in Electrical Engineering from Princeton University. His research interests are networks, distributed optimization, Generative Artificial Intelligence (AI) and AI for Health-Tech. Dr. Tan has served as the Editor for IEEE Transactions on Cognitive Communications and Networking, BMC Archives of Public Health, IEEE/ACM Transactions on Networking, IEEE Transactions on Communications, TPC of IEEE INFOCOM, ACM SIGMETRICS, ACM Learning at Scale Extended Steering Committee and as IEEE ComSoc Distinguished Lecturer. He received the Princeton University Wu Prize for Excellence, Google Faculty Award, teaching excellence awards, and was selected twice for the U.S. National Academy of Engineering China-America Frontiers of Engineering Symposium.
Networks, Large-scale optimization, Opinion dynamics and graph learning, Generative Artificial Intelligence (AI), AI for Health-Tech
  • Blended Classroom Flipping with AI-driven Peer Instructions
  • Robust Blockchain-based Decentralized Social Networks against Online Abuse and Misinformation
  • Viral Crypto Tweets: Understanding Viral Spreading in Blockchain Social Networks
Fellowships & Other Recognition
IEEE Distinguished Lecturer, IEEE Communications Society

Senior Fellowship at the Institute for Pure and Applied Mathematics (IPAM), UCLA

Tencent AI Lab Visiting Scholar

Qualcomm R&D Visiting Faculty
Courses Taught
Cloud computing