Sandra D. Ekşioğlu
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor / Associate Dean
Also affiliated: Los Alamos National Laboratory (2018); University of Florida (2001–2025); Clemson University (2014–2021); Mississippi State University (2005–2020)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Sandra Duni Eksioglu's research focuses on the analysis and optimization of complex supply chains, particularly within the context of biofuel production and transportation. Her work investigates the design and management of biomass-to-biorefinery supply chains, examining factors such as buffer sizing in critical chain scheduling and the impact of intermodal transport. Eksioglu has studied the influence of carbon regulatory mechanisms on supplier and mode selection decisions, with specific applications to biofuel supply chains. She has also explored cost analysis for the high-volume and long-haul transportation of densified biomass feedstock.
Beyond biofuels, Eksioglu's research extends to the optimization of public transit systems for emergency evacuations in urban areas. She has also investigated cost-optimized real-time operation of combined heat and power (CHP) systems. Her scholarship metrics include an h-index of 27, with 130 total publications and 2,978 citations. She leads a research group and has collaborated extensively with colleagues at the University of Arkansas at Fayetteville, including Burak Ekşioğlu (9 shared publications), Sarah Hernandez (7 shared publications), Fatih Cengil (6 shared publications), and Sarah Nurre Pinkley (4 shared publications). Eksioglu is designated as a highly cited researcher.
Metrics
- h-index: 27
- Publications: 133
- Citations: 3,055
Positions
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Professor / Associate Dean 2019–presentUniversity of Arkansas Department of Industrial Engineering ORCID
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Professor 2019–presentUniversity of Arkansas Industrial Engineering ORCID
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Associate Professor 2014–2019Clemson University Industrial Engineering ORCID
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Associate Professor 2012–2014Mississippi State University Industrial and Systems Engineering ORCID
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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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)
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
- Discrete element modeling of switchgrass particles under compression and rotational shear
- 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
Showing 5 of 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
- 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
- Inequitable Access to Risk-Appropriate Neonatal Care: Evidence from a Regionalized Perinatal System in Arkansas
- Inequitable access to risk-appropriate neonatal care: evidence from a regionalized perinatal system in Arkansas
- 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
- 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
- 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
- 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
- Integrated operating room scheduling and surgical instrument inventory management: Models, algorithms, and cost-saving insights
- 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
- Discrete element modeling of switchgrass particles under compression and rotational shear
- Integrated Process Optimization for Biochemical Conversion
- Predicting the evolution of biomass bulk density through feedstock preprocessing: Discrete element modeling, regression analysis, and pilot-scale validation
- 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
- 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
- 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
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