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Melika Jahan Beikloo

Melika Jahan Beikloo

Melika Jahan Beikloo

PhD Student
Graduate Teacher of Record, Engineering Economic Analysis (IE 3840)
Email: mjahanb@clemson.edu
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Melika Jahan Beikloo is a Ph.D. candidate in Industrial Engineering at Clemson University, with an expected graduation date of August 2027. Her research develops optimization, simulation, and data-analytic models to support public-health decision-making, with particular emphasis on opioid-epidemic response, equitable access to harm-reduction resources, and adaptation and uncertainty in illicit supply networks.

Her dissertation, “Essays on Modeling the Opioid Epidemic: Regression, Stochastic Bilevel Optimization, and Agent-Based Modeling,” connects three complementary areas of research: spatial and statistical analysis of naloxone access and opioid-related outcomes; stochastic bilevel optimization of fentanyl-supply disruption; and agent-based modeling of opioid use, supply dynamics, overdose risk, and community interventions. Her scholarship includes three journal manuscripts currently under review, a peer-reviewed conference-proceedings paper developed with undergraduate researchers she mentored, and presentations at INFORMS, INFORMS Healthcare, IISE, and the Southern Criminal Justice Association.

Melika serves as the Graduate Teacher of Record for Engineering Economic Analysis, independently designing and delivering the course for 72 undergraduate students. Her responsibilities include developing course materials, homework assignments, and assessments; leading lectures and office hours; monitoring student learning; and coordinating a teaching assistant. She also has prior teaching assistantship experience in engineering economy, stochastic systems, facilities planning, logistics, and data analytics. She has mentored undergraduate researchers, resulting in a peer-reviewed conference-proceedings paper.

She is a FutureBAProf and an IISE Future Faculty Fellow, an Engineering Unleashed Emerging Engineering Educators Workshop participant, a certified graduate mentor, and an ad hoc journal reviewer. She previously served as president of Clemson’s INFORMS Student Chapter during the 2024–2025 award year, when the chapter received the INFORMS Student Chapter Annual Award at the Magna Cum Laude level.

Expected graduation: August 2027, 2026-27 Faculty Job Market Candidate
Research areas: Operations Research; Public-Health Systems; Stochastic and Bilevel Optimization; Agent-Based Modeling; Spatial Analytics

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Dr. Mary E. Kurz
Associate Professor
Department of Industrial Engineering
Clemson University
mkurz@clemson.edu

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