
معرفی
Kevin Tang is a Professor in the School of Electrical and Computer Engineering at Cornell University, where he has been a faculty member since 2007. His research spans networks, control, optimization, and game theory, with a strong focus on the control and optimization of computer networks. He is affiliated with the Department of Electrical and Computer Engineering and leads a research group focused on information networks and systems.
- Ph.D., Electrical Engineering, California Institute of Technology, 2006
- M.S., Electrical Engineering, California Institute of Technology, 2002
- M.S., Electronics Engineering, Tsinghua University, 2001
- B.E., Electronics Engineering, Tsinghua University, 1999
Professor Tang's research interests include networks, control theory, optimization theory, and game theory, with applications in computation systems, information theory, and decision systems. His work bridges theoretical foundations with practical implementations in networking and distributed systems.
His recent publications show a strong trend in network optimization, privacy-preserving systems, and control of networked systems, appearing in top venues such as IEEE/ACM Transactions on Networking, SIAM Journal on Optimization, NeurIPS, and ICML. Themes include network coding, multipath transport, synchronization, and mathematical optimization for network performance.
Notable scientific awards include:
- Presidential Early Career Award for Scientists and Engineers (PECASE), 2012
- IBM Faculty Award, 2018
- ACM Senior Member, 2019
- First Place in AT&T SDN Network Design Challenge, 2016
- Michael Tien '72 Excellence in Teaching Award, 2011
He has advised students such as J. Cheng and S. Tseng, and has been actively involved in research grants and projects related to networked systems and control. From 2016 to 2019, he served as Director of Graduate Studies for the ECE department at Cornell. His research group, accessible at networks.ece.cornell.edu, investigates the interplay between economics, control, and networking in modern distributed systems.




