Cong Shen
Get to Know Me
Something that excites me in my field...
is designing novel communication algorithms for machine learning and artificial intelligence.
My work impacts society...
by building better communication infrastructure and advancing machine learning.
Something I learned in my research this year that surprised me...
One has to really understand machine learning to design communication systems to support it.
Current University
University of Virginia
Research Area
Communication theory, wireless communications, and machine learning.
Research Summary
Cong Shen's current research focuses on the interaction between various machine learning disciplines and wireless communication systems, including multi-armed bandit, reinforcement learning, and federated learning.
Background
Shen is currently an Assistant Professor of the Electrical and Computer Engineering Department at University of Virginia.
Prior to joining UVA, he was a professor in the School of Information Science and Technology at University of Science and Technology of China (USTC). He also has extensive industry experience, having worked for Qualcomm Research, SpiderCloud Wireless, Silvus Technologies, and Xsense.ai, in various full-time and consulting roles.
Shen was the recipient of the Best Paper Award in 2021 IEEE International Conference on Communications, and the Excellent Paper Award in the 9th International Conference on Ubiquitous and Future Networks (ICUFN 2017). Currently, he serves as an editor for the IEEE Transactions on Wireless Communications, and editor for the IEEE Wireless Communications Letters. He is the TPC co-chair of the Wireless Communications Symposium of IEEE Globecom 2021, and actively serves as (senior) program committee members/reviewers for Conference on Neural Information Processing Systems (NeurIPS), International Conference on Artificial Intelligence and Statistics (AISTATS), International Joint Conference on Artificial Intelligence (IJCAI), and AAAI Conference on Artificial Intelligence (AAAI).
Alma Mater
Shen received his B.S. and M.S. degrees, in 2002 and 2004 respectively, from the Department of Electronic Engineering, Tsinghua University, China. He received his Ph.D. degree from the Electrical Engineering Department, University of California Los Angeles (UCLA), in 2009.