Sarah G. Nurre
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Office of Scientific and Technical Information (2014); Rensselaer Polytechnic Institute (2011–2012); Wright-Patterson Air Force Base (2013); National Technical Information Service (2014); U.S. Air Force Institute of Technology (2013–2015)
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Sarah G. Nurre is an Assistant Professor at the University of Arkansas, whose research focuses on the application of operations research and mathematical modeling to complex logistical and scheduling problems. Her work investigates methods for optimizing systems that involve resource allocation, routing, and inventory management, particularly in dynamic or uncertain environments.
Nurre's recent publications include studies on multi-orbit routing for space robots, modeling interdependent agriculture and transportation networks for post-disaster restoration, and developing approximate dynamic programming approaches for stochastic scheduling problems. These publications demonstrate her expertise in areas such as space logistics, disaster resilience, and the optimization of battery swap stations for drones and electric vehicles.
She has a scholarly record with an h-index of 16, 31 total publications, and 1,171 citations. Nurre collaborates with researchers at the University of Arkansas, including Benjamin R. K. Runkle, Kelly M. Sullivan, Jakhongir Khatamov, and Susan E. Sorenson.
Metrics
- h-index: 16
- Publications: 30
- Citations: 1,226
Selected Publications
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Multi-orbit routing and scheduling of refuellable on-orbit servicing space robots (2022)
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Informing Post-Disaster Restoration through Modeling Interdependent Agriculture and Transportation Networks (2021)
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In search of network resilience: An <scp>optimization‐based</scp> view (2020)
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Interdependent integrated network design and scheduling problems with movement of machines (2020)
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Toolpath planning for multi-gantry additive manufacturing (2020)
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Modeling interdependencies in infrastructure systems using multi-layered network flows (2020)
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Tool Path Planning Optimization for Multi-Tool Additive Manufacturing (2019)
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Quantitative Models for Infrastructure Restoration After Extreme Events: Network Optimization Meets Scheduling (2019)
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A stochastic programming approach for electric vehicle charging station expansion plans (2019)
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A multi-criteria vehicle routing approach to improve the compliance audit schedule for food banks (2018)
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Data Processing on Large Interdependent Networks: An Application for Infrastructure Preparedness, and Restoration (2018)
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Online scheduling problems with flexible release dates: Applications to infrastructure restoration (2017)
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Drones for disaster response and relief operations: A continuous approximation model (2017)
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Optimal Launch Manifesting for Heterogeneous Disaggregated Satellite Constellations (2017)
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Interactive Excel-Based Gantt Chart Schedule Builder (2017)
Collaboration Network
Top Collaborators
- Informing Post-Disaster Restoration through Modeling Interdependent Agriculture and Transportation Networks
- Informing Post-Disaster Restoration through Modeling Interdependent Agriculture and Transportation Networks
- Informing Post-Disaster Restoration through Modeling Interdependent Agriculture and Transportation Networks
- Informing Post-Disaster Restoration through Modeling Interdependent Agriculture and Transportation Networks
- Informing Post-Disaster Restoration through Modeling Interdependent Agriculture and Transportation Networks
- Informing Post-Disaster Restoration through Modeling Interdependent Agriculture and Transportation Networks
- Informing Post-Disaster Restoration through Modeling Interdependent Agriculture and Transportation Networks
- Multi-orbit routing and scheduling of refuellable on-orbit servicing space robots
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