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. 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 before becoming one of the youngest endowed chair professors at Princeton University.
Chiang’s research areas include the Internet, wireless networks, broadband access networks, content distribution networks, network economics, and online social networks. His research has contributed to the areas of Optimization of Networks and Network Utility Maximization (NUM), Smart Data Pricing (SDP), Fog Networking, and Social Learning Networks (SLN).
Chiang’s 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. 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. He has an H-Index of about 60 and his publications received a few paper prizes, including the 2013 IEEE SECON Best Paper Award, the 2012 IEEE INFOCOM Best Paper Award, the 2015 IEEE INFOCOM Best Paper Runner-up, 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 received the Yelp Data Challenge Award in 2014. He was a Hertz Fellow in 1999-2003, a H. B. Wentz Junior Faculty Fellow at Princeton in 2005, and elected an IEEE Fellow in 2012.
Chiang's education innovations received the Distinguished Teaching Award from Princeton Engineering School in 2016, a Guggenheim Fellowship in 2014, and the Frederick Emmons Terman Award in 2013 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 250,000 students in 2012-2015. 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 that adapted to individual readers. In 2015, Chiang created the first course on Fog Networking and offered it as another MOOC. In 2016, he co-authored a popular science book “The Power of Networks: Six Principles That Connect Our Lives,” published by Princeton University Press. This book has been profiled in many media, including the TIME Magazine. He flipped classroom in 2012 and chaired the Princeton University Committee on Classroom Design in 2013. He has graduated about 30 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.
He founded the Princeton EDGE Lab in 2009, which bridges the theory-practice gap in networking research by spanning from proofs to prototypes. Since its founding, the lab was a leader in edge networking, and has been in part supported by industry, receiving Innovation Awards from AT&T, Comcast, Cisco, Google, HP, Intel, Microsoft, Qualcomm, SES, Vodafone, Verizon, Princeton IP Acceleration Fund and Princeton Innovation Fund. The lab has completed many technology transfers and commercialization, including research results in use by millions of smart phones around the world. His inventions have resulted in 20 issued patents, a few technology transfers to commercial adoption, and a Technology Review TR35 Young Innovator Award in 2007.
Chiang is the founding CEO of DataMi, the largest provider of Open Toll-Free solutions and the only provider of Peak-Valley Technology for mobile content globally. He is a co-founder of Zoomi, a big data startup company enabling individualized learning and corporate productivity in Fortune 100 companies. He is a co-founder of Smartiply, a fog networking startup company delivering boosted connectivity and embedded artificial intelligence. He is a member of the Advisory Board of various public and private companies.
Chiang is a co-founder and board member of the Open Fog Consortium, a global, non-profit, industry-academia consortium on fog networking in 2015. Along with ARM, Cisco, Dell, Intel and Microsoft, Princeton EDGE Lab is the only academic institution in the co-founding group of the consortium. The consortium generates open reference architectures in fog computing, organizes Fog World Congress and members events, hosts research article website in the field, evangelizes fog applications, and enables industry-university collaborations. It grew in the first year to over 50 member universities and companies from 14 countries.
Chiang chaired the Princeton Entrepreneurship Advisory Committee (PEAC), which issued the Report: “Entrepreneurship the Princeton Way,” and helped create the first large-scale incubator, the first startup investment fund, and other mentoring, ecosystem, co-curricular, and policy initiatives at Princeton University. In 2014, he also became the fourth Director of the Keller Center for Innovations in Engineering Education at Princeton University, introducing programs on design thinking, maker space, immersive internship, Tiger Challenge design competition, entrepreneurship pedagogy conference joint with Kauffman Foundation, and inter-disciplinary innovation on engineering curriculum from freshman sequence to technology and society. He was named a New Jersey (non-profit) CEO of the Year in 2014 by New Jersey Technology Council. In 2015, the Princeton Entrepreneurship Council was established based on recommendation from PEAC. Chiang was named the Inaugural Chairman of the Council as a direct report to university provost, launching the Certificate in Entrepreneurship, town-gown innovation collaboration, New York and Silicon Valley engagements, and Princeton Innovation Center and wet-lab incubator for industry collaboration in central Jersey’s innovation ecosystem.
Chiang created the Optimization of Networks track in CISS conferences in 2006, hosted the series of Smart Data Pricing (SDP) Industry Forums in 2012 and 2015, co-chaired the U.S. National Information Technology R&D Workshop on Complex Engineered Networks in 2012 and U.S. NSF Grand Challenge Workshop in Edge Computing in 2016. He was also a co-chair of the inaugural Fog World Congress, the 2nd IEEE/ACM Symposium on Edge Computing, the 9th IEEE WiOpt Conference, the 38th CISS, and the 1st ACM S3 Workshop. He served on various IEEE committees including the Communications Society Fellow Evaluation committee, and 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, the Jury Lecture in University of Miami in 2012, and gave plenary or keynote speeches at international conferences such as IEEE WCNC, NOMS, SECON, INFOCOM, GLOBECOM, WiOpt, and MPS MOPTA. He co-edited the Wiley book volume on smart data pricing and on fog computing. He has been an Associate Editor (of IEEE Transactions on Communications, Transactions on Wireless Communications, Transactions on Networking, INFORMS Operations Research, Springer Journal of Optimization and Engineering), a guest editor (of IEEE Transactions on Information Theory, Journal of Selected Areas in Communications, Journal of Selected Topics in Signal Processing, Communications Magazine), and 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," IEEE/ACM Transactions on Networking, vol. 24, no. 3, pp. 1745-1758, May 2016. (2013 IEEE SECON Best Paper Award)
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," IEEE/ACM Transactions on Networking, vol. 21, no. 6, pp. 1785-1798, December 2013. (2012 IEEE INFOCOM Best Paper Award)
8. 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.
9. F. M. F. Wong, Z. Liu and M. Chiang, “On the efficiency of social recommender networks,” IEEE/ACM Transactions on Networking, vol. 24, no. 4, pp. 2512-2524, 2016. (Yelp Data Challenge 2014 Grand Prize)
10. M. Chiang and T. Zhang, “Fog and IoT: An overview of research opportunities,” IEEE Internet of Things Journal, 2016.