Burak Ekşioğlu
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Professor and Chair
Also affiliated: Texas Tech University (2025); University of Florida (2000–2008); Clemson University (2015–2019); Mississippi State University (2005–2014)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Burak Ekşioğlu's research interests encompass optimization, logistics, and stochastic modeling, with applications extending into areas such as supply chain management and gene expression analysis. His work has explored the vehicle routing problem, developing taxonomic reviews and column generation approaches for its various forms. He has also investigated jamming attacks on wireless networks and studied clustering methods for high throughput gene expression data. Ekşioğlu has received funding for research on stochastic optimization models related to pricing and inventory replenishment for perishable products. His scholarly contributions include 83 publications with over 2,100 citations and an h-index of 19. He has established research collaborations with Sandra D. Ekşioğlu, Fatih Cengil, Cari A. Bogulski, and Nicholas Uhorchak.
Metrics
- h-index: 19
- Publications: 83
- Citations: 2,157
Positions
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Professor and Chair 2025–presentTexas Tech University Industrial, Manufacturing, and Systems Engineering ORCID
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Professor and Chair publications 2020–2025University of Arkansas at Fayetteville ORCID
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Professor 2019–2025University of Arkansas Industrial Engineering ORCID
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Associate Professor 2014–2019Clemson University Industrial Engineering ORCID
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Assistant/Associate Professor 2003–2014Mississippi State University Industrial and Systems Engineering ORCID
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
- 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
- Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem
- Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
Showing 5 of 7 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
- Evaluating appointment postponement in scheduling patients at a diagnostic clinic
- 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
- Evaluating Appointment Postponement in Scheduling Patients at a Diagnostic Clinic
- Dynamic tuberculosis screening for healthcare employees
- 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
- 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
- Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
- 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
- Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
- 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
- Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties
- Evaluating appointment postponement in scheduling patients at a diagnostic clinic
- Evaluating Appointment Postponement in Scheduling Patients at a Diagnostic Clinic
- Evaluating appointment postponement in scheduling patients at a diagnostic clinic
- Evaluating Appointment Postponement in Scheduling Patients at a Diagnostic Clinic
- Infectious disease control in metapopulations with limited resources
- Data-Driven Infectious Disease Control with Uncertain Resources
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