Vijay Kamble

kamble ignore at uic dot edu


I am an Assistant Professor of Information and Decision Sciences (IDS) in the College of Business Administration at the University of Illinois at Chicago (UIC). I obtained my PhD in Electrical Engineering and Computer Science from UC Berkeley in 2015, where I was advised by Jean Walrand. From 2015-2017, I was a postdoc in the Social Algorithms lab at the Management Science and Engineering Dept. of Stanford University, hosted and advised by Ramesh Johari and Ashish Goel. Here is my CV.

I am broadly interested in algorithmic research at various intersections of pricing, matching, learning, and reputation in online markets and service platforms, using tools and methodologies from applied probability, decision-making under uncertainty, game theory, and machine learning. Through my research, I seek to address fundamental challenges in operationalizing modern business and policy paradigms and obtain generalizable control insights.

I have worked on i) developing matching algorithms for service platforms that learn the skills of new workers in order to match them to the right jobs, ii) designing mechanisms that incentivize high-quality feedback in reputation systems, and iii) developing simple distributed algorithms for crowdsourced democratic decision-making in complex domains like deciding the national budget, tax brackets, etc.

I teach the Revenue Management and Service Operations Management courses at UIC's Liautaud Graduate School of Business.

Students with strong mathematical background interested in IDS research are encouraged to apply to our doctoral program!