Burak Ekşioğlu Data-verified

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

Professor and Chair

Last publication 2025 Last refreshed 2026-05-16

faculty

19 h-index 82 pubs 2,071 cited

Biography and Research Information

OverviewAI-generated summary

Burak Ekşioğlu's research focuses on applying operations research and data analytics to complex logistical and healthcare challenges. His work includes developing optimization strategies for autonomous vehicle fleets, such as platoon formation and energy savings for commercial trucks. Ekşioğlu also investigates methods to accelerate solutions for the AC Optimal Power Flow problem using machine learning techniques, including convex relaxations.

In the healthcare domain, Ekşioğlu has explored the use of data analytics to understand telehealth utilization, with a case study conducted in Arkansas. He has also examined the evaluation of appointment postponement in scheduling patients at diagnostic clinics. His scholarship metrics include an h-index of 19 and 2,050 citations across 82 publications. Key collaborators include Sandra D. Ekşioğlu, Fatih Cengil, Cari A. Bogulski, and Nicholas Uhorchak.

Metrics

  • h-index: 19
  • Publications: 82
  • Citations: 2,071

Selected Publications

  • Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem (2025)
    2 citations DOI OpenAlex
  • Vaccine tender scheduling and procurement: A taxonomic review (2025)
  • Statistical Analysis of Telehealth Use and Pre- and Postpandemic Insurance Coverage in Selected Health Care Specialties in a Large Health Care System in Arkansas: Comparative Cross-Sectional Study (2024)
    1 citation DOI OpenAlex
  • Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem (2024)
  • Decentralized platoon formation for a fleet of connected and autonomous trucks (2024)
    5 citations DOI OpenAlex
  • Dynamic tuberculosis screening for healthcare employees (2024)
  • Decentralized Platoon Formation for a Fleet of Connected and Autonomous Trucks (2023)
    3 citations DOI OpenAlex
  • Using data analytics for telehealth utilization: A case study in Arkansas (2023)
    2 citations DOI OpenAlex
  • Infectious disease control in metapopulations with limited resources (2022)
    1 citation DOI OpenAlex
  • Learning to accelerate globally optimal solutions to the AC Optimal Power Flow problem (2022)
    17 citations DOI OpenAlex
  • Optimizing Energy Savings for a Fleet of Commercial Autonomous Trucks (2021)
    27 citations DOI OpenAlex
  • A stochastic look-ahead approach for hurricane relief logistics operations planning under uncertainty (2021)
    11 citations DOI OpenAlex
  • Evaluating appointment postponement in scheduling patients at a diagnostic clinic (2021)
    4 citations DOI OpenAlex

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Collaboration Network

27 Collaborators 9 Institutions 1 Country

Top Collaborators

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