Waquar Kaleem

PhD Candidate, Industrial Engineering and Operations Research · Penn State

Curriculum vitae

full CV, pdf →

Education

PhD, Industrial Engineering and Operations Research The Pennsylvania State University, 2022–2027 expected

Advised by Anirudh Subramanyam. Dissertation, Scalable AI-integrated optimization for electrified transportation and logistics. Committee: Paul Griffin, Aron Laszka, S. Ilgin Guler, Changhyun Kwon.

MS, Industrial Engineering and Operations Research The Pennsylvania State University, 2024

Earned en route to the PhD.

BTech, Petroleum Engineering Rajiv Gandhi Institute of Petroleum Technology, India, 2020

Thesis, Machine learning for lithology and hydrocarbon zone identification from well log data. Director’s Gold Medal, awarded to one graduating student across all disciplines.

Research experience

Research Aide Technical, Transportation and Power Systems Division Argonne National Laboratory, Lemont, IL, May–August 2026

Supervised by Taner Cokyasar. Robust EV charging infrastructure planning under decision-dependent uncertainty, and value function approximation for matching and pricing in truckload freight markets.

Optimization Research Intern Mitsubishi Electric Research Laboratories, Cambridge, MA, September–December 2025

Supervised by Arvind U. Raghunathan. Grid-connected EV charging schedule optimization, leading to a joint patent filing.

Givens Associate, Mathematics and Computer Science Argonne National Laboratory, Lemont, IL, May–August 2024

Supervised by Jeffrey M. Larson and Taner Cokyasar. Stochastic charger location and allocation for last-mile delivery, using Lagrangian decomposition with cutting planes across 680 CPU cores, producing the largest solved instance in the literature.

Machine Learning Research Intern Rezlytix Technologies, remote, July–October 2020

Synthetic seismic datasets and machine learning models outperforming conventional three-dimensional mapping at 87 percent accuracy.

Undergraduate Research Assistant The Pennsylvania State University, May–August 2019

Advised by Sanjay Srinivasan. A lattice Boltzmann simulator for modeling CO2 plume migration in saline reservoirs, as an S. N. Bose Scholar of the Indo-US Science and Technology Forum.

Drilling Engineer, Research and Development Division Oil and Natural Gas Corporation, Rajahmundry, India, November 2020–July 2022

Well placement optimization in hydrocarbon reservoirs using machine learning models for spatial variability prediction.

Funded projects

Professional service

Referee for Transportation Research Part C, European Journal of Operational Research, Engineering Applications of Artificial Intelligence, Computers and Industrial Engineering, and Geoscience and Energy, and for the Transportation Research Board Annual Meeting, the IISE Annual Conference, the AAAI/ACM Conference on AI, Ethics and Society, and SBP-BRiMS.

Professional memberships

Institute for Operations Research and the Management Sciences, Institute of Industrial and Systems Engineers, Mathematical Optimization Society, and Society of Petroleum Engineers.

Honors and awards

2026
Argonne Training Program on Extreme-Scale Computing, U.S. Department of Energy.
2026
Top ten finalist, Lee Schipper Memorial Scholarship, Volvo Research and Educational Foundations, Global Scholar track.
2025–2026
IISE Future Faculty Fellow, selected nationally.
2025
Marcus Graduate Student Scholarship, Penn State, $10,000, one of six awarded from twenty-two nominees.
2025
Honorable Mention, Poster Award, Penn State AI Hub.
2025
Travel Award, Mixed Integer Programming Workshop.
2024
Best Paper Award, IISE Logistics and Supply Chain Division.
2020
Director’s Gold Medal, RGIPT, awarded to one graduating student across all disciplines.
2019
S. N. Bose Scholar, Indo-US Science and Technology Forum, sole petroleum engineering student selected from India.
2019
DAAD WISE Research Scholarship, Germany.
2019
AAPG L. Austin Weeks Undergraduate Research Grant.
2019
Second Runner-Up, Best Paper, SPE South Asia Regional Student Paper Contest.