Professor Xu's research focuses on the analysis, design, and decision making in stochastic systems. Recently, he has been interested in the use of predictive information and flexibility in improving the performance of large-scale dynamic resource allocation systems. Application areas of his research include stochastic scheduling, queueing systems, and health care operations.
Professor Xu received his PhD and SM in Electrical Engineering and Computer Science from MIT, in 2014 and 2011, respectively, and his B.S. in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2009. He was a postdoctoral fellow at the Microsoft Research - Inria Joint Center in Palaiseau, France during the academic year 2014-2015.
The course is similar in content and emphasis to OIT 245, but is aimed at students who already have background or demonstrated aptitude for quantitative analysis, and thus are comfortable with a more rapid coverage of the topics, in more depth...
