Swati Gupta

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Dr. Swati Gupta is currently a Research Fellow at the Simons Institute for the Theory of Computing until May 2018. She will join as an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech starting July 2018. Prior to this, she received her Ph.D. in Operations Research from Massachusetts Institute of Technology, Operations Research Center and a Dual Degree (B.Tech and M.Tech) in Computer Science and Engineering from the Indian Institute of Technology, Delhi. 

Dr. Gupta's research interests lie primarily in combinatorial, convex and robust optimization with applications in online learning and data-driven decision-making under partial information. Her work has focused on speeding up fundamental bottlenecks that arise in learning problems due to the combinatorial nature of the decisions, as well as drawing from machine learning to improve traditional optimization methods. She has also worked on providing optimized inventory routing decisions under uncertain demand, and dynamic pricing items while incorporating effects of sales and promotions. She has collaborated with industrial research labs such as IBM Research Lab (Zurich) and the Oracle Retail Data Science Group. Dr. Gupta is also interested in exploring strategic behavior of customers, fairness and bias in decisions, and unintended consequences of optimization.

Dr. Swati Gupta is a recipient of the Simons-Berkeley Research Fellowship for two programs: Bridging Discrete and Continuous Optimization and Real-Time Decision Making. Her work on systematically evaluating heuristics and understanding what works best when received a special recognition in the INFORMS Computing Society Student Paper Competition in 2016. She was also a finalist for the INFORMS Service Science Student Paper Competition for her work on dynamic pricing. Dr. Gupta received the Google Women in Engineering Award in India in 2011. 

Expertise:
  • Combinatorial, Convex and Robust Optimization
  • Online and Machine Learning
  • Fairness and Bias in Decisions
ISyE Research Areas
GT Research Areas
Simons-Berkeley Research Fellowship for Bridging Continuous and Discrete Optimization and Real-Time Decision Making Programs Fall 2017 - Spring 2018
Special Recognition in the INFORMS Computing Society Student Paper Competition for the paper "What Works Best When? A Framework for Systematic Heuristic Evaluation", joint work with John Silberholz and Iain Dunning. Fall 2016
Finalist in the INFORMS Service Section Student Paper Competition for the paper "Efficient Algorithm for Dynamic Pricing using a Graphical Representation", joint work with Maxime Cohen, Jeremy Kalas and Georgia Perakis. Fall 2016
Google Women in Engineering Award 2011