معرفی
Elnaz Kabir is an Assistant Professor at Texas A&M University’s Department of Engineering Technology & Industrial Distribution (ETID), located within the College of Engineering. Her research focuses on developing data-driven frameworks to enhance critical infrastructure resilience, particularly in power systems. She holds a Ph.D. in Industrial and Operations Engineering from the University of Michigan, an M.Sc. in Statistics, and a B.Sc. in Industrial Engineering from K. N. Toosi University of Technology.
Education:
- Ph.D., Industrial & Operations Engineering, University of Michigan – 2021
- M.Sc., Statistics, University of Michigan – 2017
- B.Sc., Industrial Engineering, K. N. Toosi University of Technology – 2011
Research Interests: Kabir’s work emphasizes resilient energy systems, clean energy transition, and disaster operations management. She employs predictive analytics, machine learning, and stochastic optimization to address challenges like power outage management and energy system decarbonization. Her projects often involve collaboration with industry partners such as American Electric Power and Southern Company.
Key Contributions: Her research spans outage prediction frameworks, climate-technological grid vulnerability, and supply chain optimization. Notable achievements include a 2016 Best Poster Award from the Society for Risk Analysis for her work on tree failures during storms.
Teaching: Kabir teaches Analytics for Distribution Operations (IDIS 450) and previously taught Decision Analysis (IOE 460) at the University of Michigan. She is actively involved in mentoring students and fostering interdisciplinary collaborations.
