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 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 optimization, Optimization of Networks through Network Utility Maximization (NUM), Smart Data Pricing (SDP), and more recently, Fog Networks/IoT 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”, the INFORMS Information Systems Design Science Award in 2014, 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, IEEE GLOBECOM Best Paper Award three times and the paper that lead to a Yelp Data Challenge Award in 2014.
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 over 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 25 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’s inventions have resulted in 15 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 5 million smart phones. Chiang is the founding CEO of DataMi, a startup on toll-free mobile content, and a co-founder 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 is the first Chairman of the Princeton Entrepreneurship Advisory Committee (PEAC), which was formed in 2014 to make recommendations on the vision, structures, and mechanisms of entrepreneurship at Princeton. PEAC issued its Report: “Entrepreneurship the Princeton Way,” and helped create the first large-scale incubator, the first entrepreneurship fund, and other mentoring/ecosystem, curricular/co-curricular, and policy/branding initiatives at Princeton University. In 2014, he also became the fourth Director of the Keller Center for Innovations in Engineering Education at Princeton University. He was named a New Jersey (non-profit) CEO of the Year in 2014 by New Jersey Technology Council.
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 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 and wireless, Internet, and education technology trade shows. 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 INFORMS Operations Research. He chaired the inaugural Steering Committee that launched the IEEE Transactions on Network Science and Engineering in 2013-14.
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. 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.
7. (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.
8. H. Inaltekin, M. Chiang and H. V. Poor, "Delay of social search on small world graphs", Journal of Mathematical Sociology, 2013.
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. F. M. F. Wong, Z. Liu and M. Chiang, “On the efficiency of social recommender networks,” Proceedings of IEEE INFOCOM, April 2015 (Yelp Data Challenge 2014 Grand Prize).