Mung Chiang is the Arthur LeGrand Doty Professor of Electrical Engineering at Princeton University. He is also an affiliated faculty in Applied and Computational Mathematics, and in Computer Science, and has served as the Director of Graduate Studies in Electrical Engineering 2009-2014. He received his B.S. (Hons.), M.S., and Ph.D. degrees from Stanford University in 1999, 2000, and 2003, respectively, and was an Assistant Professor 2003-2008, a tenured Associate Professor 2008-2011, and a Professor 2011-2013 at Princeton University. He was a Hertz Fellow in 1999-2003, a H. B. Wentz Junior Faculty at Princeton in 2005, and elected an IEEE Fellow in 2012. 


Chiang’s research areas include the Internet, wireless networks, broadband access networks, content distribution networks, network economics, and online social networks, with an emphasis on “layering as decomposition” and network function allocation, network utility maximization (NUM), smart data pricing (SDP), and more recently, client driven control-plan (CDC) and social learning networks (SLN). His research on networking received the 2013 Alan T. Waterman Award, the highest honor to US young scientists and engineers, for "fundamental contributions to the analysis, design, and optimization of wireless networks," which was the fourth Waterman received by Princeton faculty. As the 38th Waterman Awardee, he was the only award recipient from the field of networking. In 2014, he was selected as a Guggenheim Fellow. He also received the 2012 IEEE Kiyo Tomiyasu Award “for demonstrating the practicality of a new theoretical foundation for the analysis and design of communication networks”, a U.S. Presidential Early Career Award for Scientists and Engineers in 2008, an Office of Naval Research Young Investigator Award in 2007, and a National Science Foundation CAREER Award in 2005. He was a selected participant at the National Academy of Engineering Frontiers of Engineering Symposium in 2008. His publications received a few paper prizes, including the 2013 IEEE SECON Best Paper Award, the 2012 IEEE INFOCOM Best Paper Award, an ISI Citation Fast Breaking Paper in Computer Science in 2006, a Young Researcher Award Runner-Up in Continuous Optimization over 2004-2007, and IEEE GLOBECOM Best Paper Award three times. 


Chiang is the Chair of the Princeton Entrepreneurship Advisory Committee that was formed in 2014 to make recommendations on the vision, structures, and mechanisms of “Entrepreneurship the Princeton Way.” He became the fourth Director of the Keller Center for education innovation and entrepreneurship programs at Princeton University in 2014. Chiang’s inventions have resulted in fifteen issued patents, a few technology transfers to commercial adoption, and a Technology Review TR35 Young Innovator Award in 2007. He founded the Princeton EDGE Lab in 2009, which bridges the theory-practice gap in networking research by spanning from proofs to prototypes. The lab is in part supported by an industry consortium of 9 companies, receiving Innovation Awards from Intel, Google, HP, Microsoft, Qualcomm, SES, Vodafone Foundation, and Princeton IP Acceleration Fund.  The lab has completed many technology transfers and commercialization, including research results in use by over 3 million smart phones. Chiang is a cofounder of DataMi, a venture-capital-funded startup company on mobile content, and of EdWiser, an angel-funded startup company on individualized learning. He is a member of the Advisory Board of TMM (TMMI), Applied Communications Sciences ACS (formerly part of Bellcore), Altior (acquired by Exar), Sednaware, and Fast Braiin. 


Chiang's education innovations received the 2013 Frederick Emmons Terman Award by the American Society of Engineering Education. He created a new undergraduate course Networks: Friends, Money, and Bytes at Princeton University in 2011, which lead to a Massive Open Online Course with 200,000 students (and a YouTube Channel) in 2012-2014. He wrote the corresponding undergraduate textbook "Networked Life: 20 Questions and Answers" in the Just-In-Time style, and received the 2012 PROSE Award in Engineering and Technology by the Association of American Publishers. In February 2013, it became the first Integrated and Individualized Book-App (IIB) that adapted to individual readers. He co-authored the sequel "Networks Illustrated: 8 Principles without Calculus" in 2013, which also comes in modular micro-ebook format. He flipped classroom in 2012 and chaired the Princeton University Committee on Classroom Design. In 2013, he founded the non-profit online education platform "3 Nights and Done" in use by the general public and colleges. He has graduated over 20 Ph.D. students and postdocs, the majority of whom are now faculty in electrical engineering, computer science, or business schools in US, Asia, and Europe. 


Chiang created the Optimization of Networks track in CISS conferences in 2006, hosted the series of Smart Data Pricing (SDP) Industry Forums  since 2012, and co-chaired the U.S. National Information Technology R&D Workshop on Complex Engineered Networks in 2012. He was also a co-chair of the 9th IEEE WiOpt Conference, the 38th CISS, and the 1st ACM S3 Workshop.  He has been an associate editor or a guest editor of IEEE Journal of Selected Areas in Communications, IEEE Transactions on Communication, IEEE Transactions on Wireless Communications, IEEE Transactions on Information Theory, IEEE/ACM Transactions on Networking, Springer Journal of Optimization and Engineering, and Operations Research. He was the inaugural Chairman of the Steering Committee that launched the new IEEE Transactions on Network Science and Engineering in 2014. He was an IEEE Communications Society Distinguished Lecturer 2012-2013. He delivered the Simon Stevin Lecture on Optimization in Engineering at K. U. Leuven in 2010, gave plenary or keynote speeches at IEEE INFOCOM, GLOBECOM, WiOpt, and MPS MOPTA, and participated in industry and public policy discussions, including university entrepreneurship events, wireless or education technology trade shows, and FCC events. 



Ten Representative Research Publications: 


1. T. M. Cover and M. Chiang, "Duality between channel capacity and rate distortion with two-sided state information", IEEE Transactions on Information Theory, vol. 48, no. 6, pp. 1629-1638, June 2002. 


2. M. Chiang, S. H. Low, A. R. Calderbank, and J. C. Doyle, "Layering as optimization decomposition: A mathematical theory of network architectures", Proceedings of the IEEE, vol. 95, no. 1, pp. 255-312, January 2007. 


3. P. Hande, S. Rangan, M. Chiang, and X. Wu, "Distributed uplink power control for optimal SIR assignment in cellular data networks", IEEE/ACM Transactions on Networking, vol. 16, no. 6, pp. 1430-1443, November 2008. 


4. J. Lee, H. Lee, Y. Yi, S. Chong, B. Nardelli, E. Knightly, and M. Chiang, "Making 802.11 DCF near-optimal: Design, implementation, and evaluation," Proceedings of IEEE SECON (Best Paper Award), June 2013. 


5. A. Tang, J. Wang, S. H. Low, and M. Chiang, "Equilibrium of heterogeneous congestion control protocols: Existence and uniqueness", IEEE/ACM Transactions on Networking, vol. 15, no. 4, pp. 824-837, July 2007. A. Tang, D. Wei, S. H. Low, and M. Chiang, ‘Equilibrium of heterogeneous congestion control: Optimality and stability’, IEEE/ACM Transactions on Networking, vol. 18, no. 3, pp. 844-857, June 2010.


6. D. Xu, M. Chiang, and J. Rexford, "Link-state routing with hop-by-hop forwarding achieves optimal traffic engineering", IEEE/ACM Transactions on Networking, vol. 19, no. 6, pp. 1717-1730, November 2011. 


7. S. Liu, M. Chen, S. Sengupta, M. Chiang, J. Li, and P. A. Chou, "P2P streaming capacity", IEEE Transactions on Information Theory, vol. 57, no. 8, pp. 5072-5087, August 2011. 


8. (Part I) T. Lan and M. Chiang, "An axiomatic theory of fairness", Technical Report, August 2011. (Part II) C. Joe-Wong, S. Sen, T. Lan, and M. Chiang, "Multi-resource allocation: Fairness-efficiency tradeoff in a unifying framework," Proceedings of IEEE INFOCOM (Best Paper Award), March 2012. 


9. S. Ha, S. Sen, C. Joe-Wong, Y. Im, and M. Chiang, "TUBE: Time dependent pricing for mobile data," Proceedings of ACM SIGCOMM, August 2012. 


10. H. Inaltekin, M. Chiang, and H. V. Poor, "Delay of social search on small world graphs", Journal of Mathematical Sociology, 2013.