Research Engineer II
Education
- Ph.D. Operations Research (2021), Oklahoma State University
- M.S. Applied Mechanics (2015), Indian Institute of Technology (IIT) Madras, India
- B.S. Mechanical Engineering (2012), Univerisity of Pune, India
Expertise
- Supply Chain and Logistics
- Game Theory
- Logistics & Transportation
- Convex and Continuous Optimization
- Large Scale and Socio-technical Systems
- Constraint Programming
About
Harshal Kaushik is a Research Faculty at the NSF AI Institute for Advances in Optimization (AI4OPT) and the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his Ph.D. in Industrial Engineering and Management from Oklahoma State University, where his doctoral work focused on large-scale optimization, variational inequality constraints, distributed algorithms, and game-theoretic decision systems.
Prior to joining Georgia Tech, Harshal held postdoctoral appointments at the University of Texas at Dallas and Virginia Tech, and worked as an OR Data Scientist at Bayer. His research integrates optimization, stochastic modeling, machine learning, and network science to address large-scale decision problems in supply chains, logistics, transportation, and energy.
Research
Harshal’s research focuses on scalable optimization and learning-based decision-making for complex socio-technical systems. He develops computational frameworks that combine mathematical optimization, stochastic modeling, graph-based methods, and machine learning to support reliable and efficient decisions under uncertainty. At AI4OPT, Harshal leads the supply chain and logistics thrust.
Awards and Honors
- Roy and Virginia Dorrough Distinguished Graduate Fellowship at Oklahoma State University, 2021.
- Robberson Summer Research and Creative Activity Grant at Oklahoma State University, 2021.
- Nominated for the INFORMS Doctoral Student Colloquium, INFORMS, Annual Meeting, 2021.
- Robberson Summer Research and Creative Activity Grant at Oklahoma State University, 2020.
Representative Publications
- H. D. Kaushik and F. Yousefian, “A Method with Convergence Rates for Optimization Problems with Variational Inequality Constraints,” SIAM Journal on Optimization, vol. 31, no. 3, pp. 2171-2198, 2021. [Link]
- H. D. Kaushik, S. Samadi, and F. Yousefian, “An Incremental Gradient Method for Optimization Problems With Variational Inequality Constraints,” IEEE Transactions on Automatic Control, vol. 68, no. 12, pp. 7879-7886, 2023. [Link]
- S. Badakhshan, H. D. Kaushik, and J. Zhang, “Stochastic Optimization of Small Modular Reactor and Battery Sizing for Maritime Decarbonization Under Voyage Uncertainties,” IEEE Transactions on Transportation Electrification, 2025. [Link]
- J. Wang, H. D. Kaushik, R. A. Jacob, and Jie Zhang, “Spatiotemporal Planning of Electric Vehicle Charging Infrastructure: Demand Estimation and Grid-Aware Optimization Under Uncertainty,” iScience, 2025. [Link]