Burak Ekşioğlu
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Professor and Chair
Also affiliated: Texas Tech University (2025); University of Florida (2000–2008); Applied Optimization (United States) (2003); Clemson University (2015–2019); Mississippi State University (2005–2014)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
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: 83
- Citations: 2,102
Selected Publications
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Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties (2025)
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Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem (2025)
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Vaccine tender scheduling and procurement: A taxonomic review (2025)
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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)
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Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem (2024)
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Decentralized platoon formation for a fleet of connected and autonomous trucks (2024)
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Dynamic tuberculosis screening for healthcare employees (2024)
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Decentralized Platoon Formation for a Fleet of Connected and Autonomous Trucks (2023)
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Using data analytics for telehealth utilization: A case study in Arkansas (2023)
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Infectious disease control in metapopulations with limited resources (2022)
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Learning to accelerate globally optimal solutions to the AC Optimal Power Flow problem (2022)
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Optimizing Energy Savings for a Fleet of Commercial Autonomous Trucks (2021)
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A stochastic look-ahead approach for hurricane relief logistics operations planning under uncertainty (2021)
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Evaluating appointment postponement in scheduling patients at a diagnostic clinic (2021)
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A Stochastic Lookahead Approach for Hurricane Relief Logistics Operations Planning under Uncertainty (2020)
Collaboration Network
Top Collaborators
- Learning to accelerate globally optimal solutions to the AC Optimal Power Flow problem
- Using data analytics for telehealth utilization: A case study in Arkansas
- Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem
- 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
- Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem
Showing 5 of 6 shared publications
- Learning to accelerate globally optimal solutions to the AC Optimal Power Flow problem
- Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem
- Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem
- Vaccine tender scheduling and procurement: A taxonomic review
- Optimizing Energy Savings for a Fleet of Commercial Autonomous Trucks
- Decentralized platoon formation for a fleet of connected and autonomous trucks
- Decentralized Platoon Formation for a Fleet of Connected and Autonomous Trucks
- Optimizing Energy Savings for a Fleet of Commercial Autonomous Trucks
- Decentralized platoon formation for a fleet of connected and autonomous trucks
- Decentralized Platoon Formation for a Fleet of Connected and Autonomous Trucks
- Optimizing Energy Savings for a Fleet of Commercial Autonomous Trucks
- Decentralized platoon formation for a fleet of connected and autonomous trucks
- Decentralized Platoon Formation for a Fleet of Connected and Autonomous Trucks
- Optimizing Energy Savings for a Fleet of Commercial Autonomous Trucks
- Decentralized platoon formation for a fleet of connected and autonomous trucks
- Decentralized Platoon Formation for a Fleet of Connected and Autonomous Trucks
- Learning to accelerate globally optimal solutions to the AC Optimal Power Flow problem
- Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem
- Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem
- Evaluating appointment postponement in scheduling patients at a diagnostic clinic
- Dynamic tuberculosis screening for healthcare employees
- Evaluating appointment postponement in scheduling patients at a diagnostic clinic
- Dynamic tuberculosis screening for healthcare employees
- Using data analytics for telehealth utilization: A case study in Arkansas
- 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
- Using data analytics for telehealth utilization: A case study in Arkansas
- 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
- Using data analytics for telehealth utilization: A case study in Arkansas
- 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
- Using data analytics for telehealth utilization: A case study in Arkansas
- 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
- Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem
- Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem
- Dynamic tuberculosis screening for healthcare employees
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