Elnaz Kabir

Assistant Professor,
Engineering Technology & Industrial Distribution,
Electrical and Computer Engineering (Affiliated)

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About

Elnaz kabir is an Assistant Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University. Her research is centered on developing and applying advanced analytics to model, optimize, and strengthen future energy systems under uncertainty. In particular, she focuses on systems that are renewable-rich, electrified, AI-intensive, decentralized, and interdependent across electricity, hydrogen, and supply chain networks.

Education

Ph.D., Industrial & Operations Engineering, University of Michigan, 2021
M.S., Statistics, University of Michigan, 2017
B.S., Industrial Engineering, K.N.T. University of Technology, Tehran, Iran, 2011

Group Publications

Forecasting Bus-Level Load Time Series on Synthetic Grids Using Weather-Informed Deep Learning

Elnaz Kabir, Farnaz Safdarian, Seyedmahdi Kazemirazi, Thomas Chen, Diana Wallison, Thomas J. Overbye

Supply Chain Coordination Under Increased Grid Variability: A Win–Win Paradigm for Industry and the Grid

Elnaz Kabir, Leila Talebi, Halil Iseri, Eman Hammad, Eleftherios Iakovou, Mark O'Malley

SSRN Working Paper (2026)

published

Energy System Vulnerabilities in a Zero-Emission Grid: The Role of Climate Variability and Technology Uncertainty

M. Vivienne Liu, Vivek Srikrishnan, Kenji Doering, Elnaz Kabir, Scott Steinschneider, C. Lindsay Anderson

Energy, 137937 (2025)

published

Techno-Economic Planning of Spatially-Resolved Battery Storage Systems in Renewable-Dominant Grids Under Weather Variability

Seyed Ehsan Ahmadi, Elnaz Kabir, Mohammad Fattahi, Mousa Marzband, Dongjun Li

Applied Energy (2025)

published

Generator Retirement Optimization For New York State Energy Transition: Balancing Cost, Reliability, and Emissions

Seyed Ehsan Ahmadi, Elnaz Kabir, Mohammad Fattahi, Mousa Marzband

2025 IEEE Texas Power and Energy Conference (TPEC) (2025)

published

Power Outage Prediction Using Data Streams: An Adaptive Ensemble Learning Approach with a Feature- and Performance-based Weighting Mechanism

Elnaz Kabir, Seth D. Guikema, Steven M. Quiring

Risk Analysis, 1-19 (2024)

published

Quantifying the impact of multi-scale climate variability on electricity prices in a renewable-dominated power grid

Elnaz Kabir, Vivek Srikrishnan, M. Vivienne Liu, Scott Steinschneider, C. Lindsay Anderson

Renewable Energy, 120013 (2024)

published

Predictive and Prescriptive Analytics for Managing the Impact of Hazards on Power Systems

Elnaz Kabir

Ph.D. Dissertation (2021)

Predicting thunderstorm-induced power outages to support utility restoration

Elnaz Kabir, Seth D. Guikema, Steven M. Quiring

IEEE Transactions on Power Systems, 6, 4370-4381 (2019)

published

Statistical modeling of tree failures during storms

Elnaz Kabir, Seth Guikema, Brian Kane

Reliability Engineering & System Safety, 68-79 (2018)

published

Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition

Esmaeil Keyvanshokooh, Sarah M. Ryan, Elnaz Kabir

European Journal of Operational Research, 1, 76-92 (2016)

published

A Novel Scenario Generation Technique for a Stochastic Supply Chain Network

Elnaz Kabir, Rasool Shafaei, Esmaeil Keyvanshokooh

6th International Conference of Iranian Operations Research Society (2013)

published