S
Sandra D. Ekşioğlu Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Professor
faculty
27 h-index
131 pubs
2,894 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Sandra D. Ekşioğlu is a professor at the University of Arkansas at Fayetteville whose research focuses on the application of optimization and modeling techniques to complex systems. Her work has addressed challenges in areas such as energy, logistics, and public health. She has published on topics including the design of reliable electric vehicle charging station expansion, the acceleration of globally optimal solutions for the AC Optimal Power Flow problem, and the optimization of biomass feedstock processing systems.
Ekşioğlu has investigated the design of drone delivery networks for vaccine supply chains, with a case study in Niger. Her research also extends to public health, including an analysis of COVID-19 vaccine hesitancy in the U.S. and the development of optimization models for integrated biorefinery operations. She has also explored the prediction of waterborne freight activity using machine learning and Automatic Identification System data. Her scholarship metrics include an h-index of 28, with 134 total publications and 3,043 total citations.
Ekşioğlu leads a research group and has collaborated with several researchers at the University of Arkansas at Fayetteville, including Burak Ekşioğlu, Sarah Hernandez, Fatih Cengil, and Sarah Nurre Pinkley, with whom she shares multiple publications.
Metrics
- h-index: 27
- Publications: 131
- Citations: 2,894
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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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)
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A two-stage stochastic optimization model for port infrastructure planning (2023)
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Integrated Process Optimization for Biochemical Conversion (2023)
Collaboration Network
Top Collaborators
Rubén A. Proaño
10 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.
- An Analysis of COVID-19 Vaccine Hesitancy in the U.S. at the County Level
- Designing Drone Delivery Networks for Vaccine Supply Chain: A Case Study of Niger
- Pediatric vaccine tender scheduling in low- and middle-income countries
Showing 5 of 10 shared publications
Burak Ekşioğlu
9 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 9 shared publications
Sanjeev Bhurtyal
9 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 Two Stage Stochastic Optimization Model for Port Infrastructure Planning
- Prediction of waterborne freight activity with Automatic Identification System using machine learning
Showing 5 of 9 shared publications
Mohammad Roni
Idaho National Laboratory (US)
7 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
- Optimal Control to Handle Variations in Biomass Feedstock Characteristics and Reactor In-Feed Rate
- Optimization Models for Integrated Biorefinery Operations
Showing 5 of 7 shared publications
Sarah Hernandez
7 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
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
- Prediction of waterborne freight activity with Automatic Identification System using machine learning
Showing 5 of 7 shared publications
Fatih Cengil
6 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
- Pediatric vaccine tender scheduling in low- and middle-income countries
- Vaccine tender scheduling and procurement: A taxonomic review
Showing 5 of 6 shared publications
Berkay Gulcan
5 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
- A Multi-stage Stochastic Programming Model for Adaptive Biomass\n Processing Operation under Uncertainty
Qiushi Chen
Clemson University (US)
5 shared publications
- Optimization models for integrated biorefinery operations
- Optimal control to handle variations in moisture content and reactor in-feed rate
- Optimal Control to Handle Variations in Biomass Feedstock Characteristics and Reactor In-Feed Rate
- Optimization Models for Integrated Biorefinery Operations
- Integrated Process Optimization for Biochemical Conversion
Amogh Bhosekar
4 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
- Models and Solution Methods for the Integrated or Scheduling and Inventory Management Problem
- Integrated operating room scheduling and surgical instrument inventory management: Models, algorithms, and cost-saving insights
Yongjia Song
4 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
- A Multi-stage Stochastic Programming Model for Adaptive Biomass\n Processing Operation under Uncertainty
Manzi Yves
University of Arkansas at Fayetteville
4 shared publications
In database
- A two-stage stochastic optimization model for port infrastructure planning
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
- A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
Sarah Nurre Pinkley
University of Arkansas at Fayetteville
4 shared publications
In database
- Designing drone delivery networks for vaccine supply chain: a case study of Niger
- An analysis of COVID-19 vaccine hesitancy in the U.S.
- An Analysis of COVID-19 Vaccine Hesitancy in the U.S. at the County Level
- Designing Drone Delivery Networks for Vaccine Supply Chain: A Case Study of Niger
Hari Eswaran
4 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
- An Analysis of Resource Utilization at Telehealth Providers in the US (Preprint)
- An Analysis of Resource Utilization at Telehealth Providers in the US (Preprint)
Cari A. Bogulski
University of Arkansas for Medical Sciences
4 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
- An Analysis of Resource Utilization at Telehealth Providers in the US (Preprint)
- Inequitable Access to Risk-Appropriate Neonatal Care: Evidence from a Regionalized Perinatal System in Arkansas
Tuğçe Işık
3 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
- Models and Solution Methods for the Integrated or Scheduling and Inventory Management Problem
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