Broadly, my research is on Decision Making under Uncertainty. More specifically, I work on various aspects of Stochastic Programming including (i) modeling, (ii) theory and algorithms, and (iii) applications. For more information: ResearchGate Google Scholar Publications and Research Funding
Methodology:
- Distributionally Robust Optimization
- Risk-Averse Stochastic Programming
- Monte-Carlo Simulation for Stochastic Programming
- Computational Stochastic Optimization
Applications:
- Water Resources Management (outreach video of this work)
- Joint Sustainable Infrastructures including Water and Energy
Research Recognition
- NSF CAREER Award, 2012 – 2018
- Lumley Research Award (OSU), 2016
- INFORMS ENRE Best Publication Award in Environment and Sustainability, 2016
- Faculty Adviser, Runner-Up INFORMS Computing Society Student Paper Award, 2017
Selected Research Talks
- Tutorial on Distributionally Robust Stochastic Programming Using Phi-Divergences, INFORMS Annual Meeting, 2015 [accompanying tutorial paper]
- Tutorial on Monte Carlo Sampling-Based Methods in Stochastic Programming, the Industrial and Systems Engineering Research Conference (ISERC), San Juan, Puerto Rico, 2013 [presentation] (This tutorial talk is largely based on this paper)
- Introductory Tutorial on Stochastic Programming, the Industrial and Systems Engineering Research Conference (ISERC), Montreal, Canada, 2014
- Tutorial Speaker, Pre-conference tutorials at the 12th International Conference on Stochastic Programming, Halifax, Canada, 2010 [presentation] (Parts of this tutorial are based on this paper)