I am an assistant professor in Management Studies at IIT Roorkee. I am also a joint faculty in Centre of Artificial Intelligence and Data Sciences (CAIDS) at IIT Roorkee.
My research interests are broadly in decision making under uncertainty. In the past, I have worked on several areas such as machine learning, restless bandits, game theory and queuing systems.
On these pages you will be able to find a lot about my technical interests. I hope you enjoy them and find them helpful to what interests you. I believe that a curious mind along with good knowledge of techniques can systematically approach several challenging problems.
If you are interested in the areas that I work on/would like to provide suggestions/have discussions on any topic mentioned in this site, please drop me a mail.
News 12 March, 2021. Submitted a proposal on "Reinforcement Learning Approaches for Multi-armed Restless Bandit Problems" to serb. 20 December, 2020. Notification of acceptance for the paper "Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features" coauthored with S. Bhat and C. Amballa to AAAI 2020. 18 November, 2020. Coordinating a TEQIP-III sponsored faculty development program on "Open-source tools for scientific computing: Scilab, Python, R, and Latex" with A. Tripathi. Click here to register. 13 November, 2020. Notification of acceptance for the paper "A unifying computation of Whittle’s Index for Markovian bandits" coauthored with U. Ayesta and I. M. Verloop to Mathematical Methods of Operations Research. 30 October, 2020. Submitted a proposal on "Reinforcement Learning for Innovative Business Models" in collaboration with Singapore Management University and Universiti Teknologi Malaysia to ASEAN INDIA. 25 September, 2020. Co-ordinator for operations area in Knowledge Sharing Workshop on Emerging Trends of Management Research at DoMS, IITR. 10 August, 2020. Signed to develop a specialization on "leveraging data science for supply chain management" with coursera. 31 December, 2019 and older news. Click here