Taner Cokyasar
- Assistant Professor, Engineering Technology & Industrial Distribution (ETID)
- Director, Advanced Transportation Logistics & AI for Resilient Systems (ATLAS) Lab, co-founded with Dr. Sudipta Chowdhury
- Research Affiliate, Interdisciplinary Analysis Program, Texas A&M Transportation Institute
At a glance
I am an operations researcher who builds large-scale optimization models and algorithms for transportation, logistics, and energy systems: EV charging and fleet electrification, transit, freight, drone delivery, and shared mobility. I spent seven years at Argonne National Laboratory turning these methods into national- and metropolitan-scale studies for the U.S. Department of Energy, and I now direct the ATLAS Lab at Texas A&M University, which I co-founded with my ETID colleague Dr. Sudipta Chowdhury.
Career path
- 2020Ph.D., Industrial EngineeringUniversity of Tennessee, Knoxville
- 2019–2026Intern → Postdoc → Computational Transportation EngineerArgonne National Laboratory
- 2021–2022Assistant Professor, Industrial EngineeringTarsus University, Türkiye
- 2026–presentAssistant Professor, ETID; Director, ATLAS LabTexas A&M University
By the numbers
Figures as of October 2026; citations from Google Scholar. Details in the CV.
Research
Themes, methods & funding →How should a city place chargers for thousands of delivery vans? How can a transit agency move to electric buses without buying more of them? I answer questions like these by combining mathematical programming, decomposition, and high-performance computing with agent-based simulation.
EV charging & electrification
Where to build chargers, how many, and how fleets should use them, solved at metropolitan and national scale with decomposition and high-performance computing.
Read more →Transit & electric bus fleets
Scheduling, charger siting, and fleet transition for battery-electric and mixed electric-diesel bus systems, from single depots to multi-agency case studies.
Read more →Freight & supply chains
Supplier selection, truckload markets, and urban e-commerce delivery, calibrated inside national freight simulations.
Read more →Drones & last-mile delivery
Drone networks with battery swapping, drone–truck energy comparisons, and exact algorithms for mixed drone–ground fleets.
Read more →Shared, autonomous & multimodal mobility
Ride-matching, shared autonomous vehicles, and transit redesign, evaluated with the POLARIS agent-based simulator.
Read more →New directions: AI for optimization
Combining AI with optimization so that planners can ask what-if questions and get explainable answers; resilient logistics networks.
Read more →Recent highlights
- Nov 2026Invited talk at the INFORMS Annual Meeting in San Francisco on integrated scheduling and flexible charging for mixed electric–diesel bus fleets.
- Oct 2026Elected faculty member of the Texas A&M Honor Council.
- Oct 2026Joined the Texas A&M Transportation Institute as a Research Affiliate in the Interdisciplinary Analysis Program.
- Aug 2026Joined Texas A&M University as Assistant Professor in ETID and co-founded the ATLAS Lab with Dr. Sudipta Chowdhury (ETID), with a new U.S. Department of Energy award through Argonne National Laboratory as PI.
- 2026New journal articles in Transportation Research Part B (extreme-scale EV charging planning with parallel computing) and Part C (branch-and-cut for drone–ground fleets; transit frequency and shared autonomous fleet sizing).
- May 2026Invited panelist, “Applications of Engineering Economy in Industry,” and session chair at the IISE Annual Conference, Arlington, TX.
- Oct 2025Invited seminar at the University of Illinois Chicago on drone delivery networks with automated battery swapping.
- 2025Began serving as President of the IISE Engineering Economy Division (2025–2027) and Area Editor (Infrastructure Economics) of The Engineering Economist.
- 2024Received the Impact Argonne Award (Extraordinary Effort) at Argonne National Laboratory.
Selected publications
All publications →* corresponding author · underline = student or early-career researcher I mentored
- Extreme-scale EV charging infrastructure planning for last-mile delivery using high-performance parallel computing.Kaleem, W., Cokyasar, T.*, Larson, J., Verbas, O., Bhuiyan, T. H., & Subramanyam, A. (2026). Transportation Research Part B: Methodological, 205 (in press). DOI
- Problem of locating and allocating charging equipment for battery electric buses under stochastic charging demand.Bazarnovi, S., Cokyasar, T.*, Verbas, O., & Mohammadian, A. K. (2025). European Journal of Operational Research. DOI
- A branch-and-cut algorithm for routing a heterogeneous drone-ground vehicle fleet to deliver time-sensitive products.Hosseini Dolatabadi, S. H., Bhuiyan, T. H., Kaleem, W., Subramanyam, A., & Cokyasar, T. (2026). Transportation Research Part C: Emerging Technologies, 183. DOI
- Electric vehicle supply equipment location and capacity allocation problem.Davatgari, A., Cokyasar, T.*, Subramanyam, A., Larson, J., & Mohammadian, A. K. (2024). European Journal of Operational Research, 317, 953–966. DOI
- Redesigning large-scale multimodal transit networks with shared autonomous mobility services.Ng, M. T. M., Mahmassani, H. S., Verbas, O., Cokyasar, T., & Engelhardt, R. (2024). Transportation Research Part C: Emerging Technologies, 168, 104575. DOI
- Optimal assignment for the single-household shared autonomous vehicle problem.Cokyasar, T., & Larson, J. (2020). Transportation Research Part B: Methodological, 141, 98–115. DOI
Work with the ATLAS Lab
Prospective students
I welcome inquiries from Ph.D., M.S., and undergraduate students who enjoy building models and writing code. Helpful background:
- Linear and integer programming, networks, or stochastic optimization
- Python (Gurobi or another solver is a plus)
- Interest in transportation, logistics, or energy problems
Email me a CV, transcripts, and a few sentences on which project above interests you and why.
Agencies, labs & industry partners
The lab turns planning questions into models that run at real-world scale. Typical collaborations:
- Charging-infrastructure siting and fleet electrification plans
- Transit and fleet scheduling with GTFS and operator data
- Freight, supplier-selection, and delivery-network studies
- Scenario analysis with the POLARIS agent-based simulator
Seven years of DOE-funded work at Argonne National Laboratory, with partners such as the Chicago Transit Authority and the Chicago Metropolitan Agency for Planning.
Contact
106 Ross St., College Station, TX 77843
Short bio for introductions (third person, for event organizers)
Taner Cokyasar is an Assistant Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University, where he directs the Advanced Transportation Logistics & AI for Resilient Systems (ATLAS) Lab, which he co-founded with Dr. Sudipta Chowdhury, and a Research Affiliate of the Texas A&M Transportation Institute. His research develops large-scale optimization models and algorithms for transportation, logistics, and energy systems, including EV charging, transit and fleet scheduling, freight, drone delivery, and shared mobility. Before joining Texas A&M, he spent seven years at Argonne National Laboratory, most recently as a Computational Transportation Engineer, and he has led four U.S. Department of Energy awards through Argonne as principal investigator. He is President of the IISE Engineering Economy Division and an Area Editor of The Engineering Economist. He holds M.S. and Ph.D. degrees in Industrial Engineering from the University of Tennessee, Knoxville.