Thomas Sharkey

Professor

Clemson University

United States

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Thomas Sharkey is a Professor at Clemson University in the United States. His research spans various areas including network optimization, resilience in supply chains, and transdisciplinary approaches to complex societal issues. Recent publications include works on bilevel network interdiction problems, optimizing edge sets in networks, and quantitative resilience indices for multi-echelon assembly supply chains.

Articles (12)

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2025

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2025

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2023

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2022

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2021

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2021

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2021

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2020

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2020

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2020

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2020

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2020

Collaborators (3)

Lauren Martin

University of Minnesota

UNITED STATES

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Boleslaw Szymanski

Claire and Roland Schmitt Distinguished Professor

Rensselaer Polytechnic Institute

UNITED STATES

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Kayse Lee Maass

Assistant Professor

Northeastern University

UNITED STATES

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Thomas Sharkey

Research Interests

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Articles (12)

A Bilevel Network Interdiction Problem to Minimize the Number of Active Special Arcs in the Maximum Flow

Code and Data Repository for A Bi-level Network Interdiction Problem to Minimize the Number of Active Special Arcs in the Maximum Flow

A transdisciplinary approach for generating synthetic but realistic domestic sex trafficking networks

Optimizing edge sets in networks to produce ground truth communities based on modularity

Decentralized scheduling with precedence constraints

In search of network resilience: An optimization-based view

Towards the development of quantitative resilience indices for Multi-Echelon Assembly Supply Chains

Case Article—Workforce Scheduling for Airport Immigration on the Island of Tropical Paradise

A Markov Decision Process approach for balancing intelligence and interdiction operations in city-level drug trafficking enforcement

CLARC: An Artificial Community for Modeling the Effects of Extreme Hazard Events on Interdependent Civil and Social Infrastructure Systems

Models for restoration decision making for a supply chain network after a cyber attack

Optimizing the recovery of disrupted single-sourced multi-echelon assembly supply chain networks

Collaborators (3)

Lauren Martin

Boleslaw Szymanski

Kayse Lee Maass

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