Sandra D. Ekşioğlu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Professor

University of Arkansas at Fayetteville

faculty

28 h-index 132 pubs 3,028 cited

Research Areas

Decision-Making and Behavioral Economics SARS-CoV-2 and COVID-19 Research Vaccine Coverage and Hesitancy Parallel Computing and Optimization Techniques Healthcare Policy and Management Supply Chain Management and Logistics Biomass Energy and Biofuels

Links

ORCID Research Group

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OverviewAI-generated summary

Sandra D. Ekşioğlu's research focuses on developing and applying optimization and modeling techniques to address complex problems across various domains. Her work has involved designing reliable systems under uncertainty, such as electric vehicle charging station expansion and biomass feedstock processing. She has also investigated the optimal control of integrated biorefinery operations and the planning of port infrastructure.

Ekşioğlu's research extends to public health, with recent publications analyzing COVID-19 vaccine hesitancy in the U.S. and exploring the use of drones for vaccine delivery in supply chains, exemplified by a case study in Niger. Her methodological approaches frequently incorporate stochastic optimization and machine learning, as seen in her work predicting waterborne freight activity using Automatic Identification System data.

With a notable citation count of 3,028 and an h-index of 28, Ekşioğlu is recognized as a highly cited researcher. She leads a research group at the University of Arkansas at Fayetteville and collaborates with several colleagues, including Burak Ekşioğlu, Sarah Hernandez, Fatih Cengil, and Sarah Nurre Pinkley.

Metrics

h-index: 28
Publications: 132
Citations: 3,028

Selected Publications

Land8Fire: A Complete Study on Wildfire Segmentation Through Comprehensive Review, Human-Annotated Multispectral Dataset, and Extensive Benchmarking (2025) DOI
Learning to accelerate tightening of convex relaxations of the AC optimal power flow problem (2025) DOI
Predicting the evolution of biomass bulk density through feedstock preprocessing: Discrete element modeling, regression analysis, and pilot-scale validation (2025) DOI
A Non-Linear Optimization Model for Controlling the Real Area of Contact in Surface Texture Design (2025) DOI
Vaccine tender scheduling and procurement: A taxonomic review (2025) DOI
Prediction of waterborne freight activity with Automatic identification System using Machine learning (2024) DOI
Prediction of Waterborne Freight Activity with Automatic Identification System Using Machine Learning (2024) DOI
Optimization of pediatric vaccines distribution network configuration under uncertainty (2024) DOI
Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem (2024) DOI
An analysis of COVID-19 vaccine hesitancy in the U.S. (2024) DOI
Designing drone delivery networks for vaccine supply chain: a case study of Niger (2023) DOI
A two-stage stochastic optimization model for port infrastructure planning (2023) DOI
Integrated Process Optimization for Biochemical Conversion (2023) DOI
Using data analytics for telehealth utilization: A case study in Arkansas (2023) DOI
A Two Stage Stochastic Optimization Model for Port Infrastructure Planning (2023) DOI