Dr. Tan, Chee Wei received the M.A and Ph.D. degrees in Electrical and Computer Engineering from Princeton University. His research interests are wireless networks, artificial intelligence, optimization and distributed machine learning. He was a Senior Fellow of the Institute for Pure and Applied Mathematics (IPAM) and was a Postdoctoral Scholar in the NetLab Group at Caltech. His industrial experience includes consulting for Tencent AI Lab, Qualcomm R&D (QRC). Dr. Tan has served as Editor for the IEEE/ACM Transactions on Networking, IEEE Transactions on Communications and IEEE Communications Surveys and Tutorials. He received the Princeton University Wu Prize for Excellence, Google Faculty Award, NRF Fellowship, university teaching awards, IEEE Information Theory Society 2015 Chapter of the Year award, and was selected twice for the U.S. National Academy of Engineering China-America Frontiers of Engineering Symposium.
Lecture Topics
- Perspectives on Artificial Intelligence (AI) in Networks: Past, Present and Future
- Healthcare Big Data Analytics for COVID-19 Challenges: Digital Contact Tracing and Infodemic Management
- Information Inequalities: Facets of Entropy and Automated Reasoning by Optimization
- Cloud Computing and Fog Computing for Big Data Applications
- Federated Learning and Distributed Machine Learning over Networks