Burak Ekşioğlu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Professor and Chair

University of Arkansas at Fayetteville

faculty

19 h-index 82 pubs 2,040 cited

Research Areas

Operations Research and Management Science Logistics and Supply Chain Management Healthcare Policy and Management Decision-Making and Behavioral Economics Telemedicine and Telehealth Implementation Technology Adoption and User Behaviour Parallel Computing and Optimization Techniques

Links

ORCID Lab Website

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OverviewAI-generated summary

Burak Ekşioğlu's research focuses on operations research and management science, with applications in logistics, scheduling, and healthcare systems. His work investigates optimizing complex systems under uncertainty, including the development of algorithms for autonomous vehicle platooning and energy efficiency in commercial fleets. Ekşioğlu has also explored patient scheduling in diagnostic clinics and the utilization of telehealth services, particularly within the context of Arkansas healthcare.

His research publications include studies on decentralized platoon formation for connected and autonomous trucks, stochastic approaches for hurricane relief logistics, and evaluating appointment postponement strategies in healthcare settings. Ekşioğlu's scholarship metrics include an h-index of 19, with 82 total publications and 2,040 citations. He has a history of collaboration with researchers at the University of Arkansas at Fayetteville and the University of Arkansas for Medical Sciences.

Metrics

h-index: 19
Publications: 82
Citations: 2,040

Selected Publications

Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem (2025) DOI
Vaccine tender scheduling and procurement: A taxonomic review (2025) DOI
Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem (2024) DOI
Decentralized platoon formation for a fleet of connected and autonomous trucks (2024) DOI
Dynamic tuberculosis screening for healthcare employees (2024) DOI
Decentralized Platoon Formation for a Fleet of Connected and Autonomous Trucks (2023) DOI
Using data analytics for telehealth utilization: A case study in Arkansas (2023) DOI
Infectious disease control in metapopulations with limited resources (2022) DOI
Learning to accelerate globally optimal solutions to the AC Optimal Power Flow problem (2022) DOI
Optimizing Energy Savings for a Fleet of Commercial Autonomous Trucks (2021) DOI
A stochastic look-ahead approach for hurricane relief logistics operations planning under uncertainty (2021) DOI
Evaluating appointment postponement in scheduling patients at a diagnostic clinic (2021) DOI