Graduate Students

  • Xiangyi Fan. Xiangyi is a PhD student in Operations Research & Industrial Engineering. In her current research, she develops decision rule approximations for data driven two-stage/multi-stage distributionally robust optimization via conic programming. In addition, she is also working on a project focused on data-driven distributionally robust chance constrained programming. Her research interests are in distributionally robust optimization, stochastic programming and machine learning. She also had research experience in mixed integer linear programming with an application in large-scale network design before joining Dr. Hanasusanto’s team.

  • Prateek Srivastava (jointly supervised with Dr. Purnamrita Sarkar). Prateek is a third year PhD student in Operations Research & Industrial Engineering. His research interests are in convex optimization, machine learning and stochastic optimization. His current research work focuses on developing scalable convex optimization algorithms to solve large scale machine learning problems arising in community detection. In addition, he also works on problems related to sequential decision making under uncertainty. Prior to joining to Dr. Hanasusanto's group, he has also worked on the applications of optimization and game theory in airline scheduling.

  • Yijie Wang. Yijie Wang is a second-year Operations Research Ph.D. student at the University of Texas at Austin, working with professor Grani Hanasusanto. He is interested in convex optimization, distributionally robust optimization, machine learning, queueing theory and algorithms for large scale optimization problems. His current research focuses on developing distributionally robust queueing models and their algorithms. In the summer of 2018, he graduated from Beihang University, with a bachelor's degree in Automation and a minor in Mathematics.


  • Areesh Mittal (2019). PhD thesis: “Copositive Programming Approaches for Robust Optimization and Löwner-John Ellipsoid Problems”

  • Madhushini Prasad (2018). PhD thesis: “Approximation Schemes for Network, Clustering, and Queueing Models”