Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
S
Sandra D. Ekşioğlu
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Professor
Also affiliated: University of Florida (2002–2025); Applied Optimization (United States) (2002–2003); Clemson University (2014–2021); Mississippi State University (2005–2020)
Faculty Researcher
27 h-index
129 pubs
2,944 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Sandra D. Ekşioğlu's research focuses on the application of optimization models and machine learning techniques to address complex problems across various domains. Her work has investigated the design of reliable electric vehicle charging station expansions under uncertainty, and the acceleration of globally optimal solutions for the AC Optimal Power Flow problem. She has also explored the optimization of biomass feedstock processing systems, considering uncertainties in biomass quality, and developed optimization models for integrated biorefinery operations.
Ekşioğlu's research extends to supply chain and logistics, including the design of drone delivery networks for vaccine supply chains, exemplified by a case study in Niger. Her recent work also includes predicting waterborne freight activity using Automatic Identification System data and machine learning, and analyzing COVID-19 vaccine hesitancy in the U.S.
Ekşioğlu is a highly cited researcher with an h-index of 27 and over 2,900 citations across more than 130 publications. She leads a research group and collaborates with several colleagues at the University of Arkansas at Fayetteville, including Burak Ekşioğlu, Sarah Hernandez, Fatih Cengil, and Sarah Nurre Pinkley.
Metrics
- h-index: 27
- Publications: 129
- Citations: 2,944
Selected Publications
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Inequitable Access to Risk-Appropriate Neonatal Care: Evidence from a Regionalized Perinatal System in Arkansas (2026)
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Integrated operating room scheduling and surgical instrument inventory management: Models, algorithms, and cost-saving insights (2026)
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Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties (2025)
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Land8Fire: A Complete Study on Wildfire Segmentation Through Comprehensive Review, Human-Annotated Multispectral Dataset, and Extensive Benchmarking (2025)
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Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem (2025)
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Predicting the evolution of biomass bulk density through feedstock preprocessing: Discrete element modeling, regression analysis, and pilot-scale validation (2025)
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A Non-Linear Optimization Model for Controlling the Real Area of Contact in Surface Texture Design (2025)
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Vaccine tender scheduling and procurement: A taxonomic review (2025)
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Prediction of waterborne freight activity with Automatic identification System using Machine learning (2024)
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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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Prediction of Waterborne Freight Activity with Automatic Identification System Using Machine Learning (2024)
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Optimization of pediatric vaccines distribution network configuration under uncertainty (2024)
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Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem (2024)
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An analysis of COVID-19 vaccine hesitancy in the U.S. (2024)
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Designing drone delivery networks for vaccine supply chain: a case study of Niger (2023)
Collaboration Network
Top Collaborators
Burak Ekşioğlu
University of Arkansas at Fayetteville
6 shared publications
In database
- 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
Sanjeev Bhurtyal
University of Arkansas at Fayetteville (US)
6 shared publications
- A two-stage stochastic optimization model for port infrastructure planning
- Prediction of waterborne freight activity with Automatic identification System using Machine learning
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
- A Policy and Infrastructure Evaluation Model of Commodity Flows through Inland Waterway Ports (Dataset)
- A Policy and Infrastructure Evaluation Model of Commodity Flows through Inland Waterway Ports (Dataset)
Showing 5 of 6 shared publications
Mohammad Roni
Idaho National Laboratory (US)
5 shared publications
- Optimal Control of Biomass Feedstock Processing System Under Uncertainty in Biomass Quality
- Optimization models for integrated biorefinery operations
- Optimal control to handle variations in moisture content and reactor in-feed rate
- Optimization Models for Integrated Biorefinery Operations
- A stochastic biomass blending problem in decentralized supply chains
Berkay Gulcan
Clemson University (US)
4 shared publications
- Optimization models for integrated biorefinery operations
- Optimization Models for Integrated Biorefinery Operations
- A stochastic biomass blending problem in decentralized supply chains
- A multi-stage stochastic programming model for adaptive biomass processing operation under uncertainty
Qiushi Chen
Clemson University (US)
4 shared publications
- Optimization models for integrated biorefinery operations
- Optimal control to handle variations in moisture content and reactor in-feed rate
- Optimization Models for Integrated Biorefinery Operations
- Integrated Process Optimization for Biochemical Conversion
Fatih Cengil
University of Arkansas at Fayetteville
4 shared publications
In database
- 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
Sarah Hernandez
University of Arkansas at Fayetteville
4 shared publications
In database
- A two-stage stochastic optimization model for port infrastructure planning
- Prediction of waterborne freight activity with Automatic identification System using Machine learning
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
- Prediction of Waterborne Freight Activity with Automatic Identification System Using Machine Learning
Yongjia Song
Clemson University (US)
3 shared publications
- Optimization models for integrated biorefinery operations
- Optimization Models for Integrated Biorefinery Operations
- A multi-stage stochastic programming model for adaptive biomass processing operation under uncertainty
Russell Bent
Los Alamos National Laboratory (US)
3 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
Cari A. Bogulski
University of Arkansas for Medical Sciences
3 shared publications
In database
- 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
- Inequitable Access to Risk-Appropriate Neonatal Care: Evidence from a Regionalized Perinatal System in Arkansas
Rubén A. Proaño
Rochester Institute of Technology (US)
3 shared publications
- Designing drone delivery networks for vaccine supply chain: a case study of Niger
- An analysis of COVID-19 vaccine hesitancy in the U.S.
- Vaccine tender scheduling and procurement: A taxonomic review
Amogh Bhosekar
Clemson University (US)
2 shared publications
- A discrete event simulation model for coordinating inventory management and material handling in hospitals
- Simulation-optimization of automated material handling systems in a healthcare facility
Tuğçe Işık
Clemson University (US)
2 shared publications
- A discrete event simulation model for coordinating inventory management and material handling in hospitals
- Simulation-optimization of automated material handling systems in a healthcare facility
Manzi Yves
University of Arkansas at Fayetteville
2 shared publications
In database
- A two-stage stochastic optimization model for port infrastructure planning
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
Aysenur Betul Cengil
University of Arkansas at Fayetteville
2 shared publications
In database
- 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