Associate Professor of Operations, Information & Technology
- stochastic modeling
- probability theory
- dynamic resource allocation
- queueing networks
- operations research and management
- statistical learning theory
Professor Kuang Xu was born in Suzhou, China. He received the B.S. degree in Electrical Engineering (2009) from the University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, and the Ph.D. degree in Electrical Engineering and Computer Science (2014) from the Massachusetts Institute of Technology, Cambridge, Massachusetts, USA. He was a postdoctoral fellow at the Microsoft Research-Inria Joint Center in Paris, France (2014-2015).
His research interests lie in the fields of applied probability theory, optimization, and operations research, seeking to understand fundamental properties and design principles of large-scale stochastic systems, with applications in queueing networks, healthcare, privacy and statistical learning theory. He has received several awards including a First Place in INFORMS George E. Nicholson Student Paper Competition, a Best Paper Award, as well as a Kenneth C. Sevcik Outstanding Student Paper Award from ACM SIGMETRICS.
- PhD, Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2014
- SM, Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2011
- BS, Electrical Engineering, University of Illinois at Urbana-Champaign, 2009
Awards and Honors
- Business School Trust Faculty Scholar, 2019–2020
- Business School Trust Faculty Scholar, 2018–2019
- Jin Au Kong Award for Best PhD Thesis in Electrical Engineering, MIT, 2014
- Dimitris N. Chorafas Foundation award for outstanding PhD research, 2014
- Best Paper Award, as well as a Kenneth C. Sevcik Outstanding Student Paper Award, from ACM SIGMETRICS, 2013
- First-place winner of the INFORMS George E. Nicholson Student Paper Competition, 2011
- Ernst A. Guillemin Thesis Award for Best SM Thesis in Electrical Engineering, MIT, 2011
Stanford University Affiliations
- Associate Professor (by courtesy) Stanford Electrical Engineering Department
Service to the Profession
- Reviewer for Operations Research, Management Science, Mathematics of Operations Research, and Annals of Applied Probability.