Elnaz Kabir

Elnaz Kabir 

Ph.D. Candidate
Department of Industrial & Operations Engineering
University of Michigan at Ann Arbor

1205 Beal Avenue
Ann Arbor, MI 48109-2117, U.S.A

E-mail: ekabir-at-umich-dot-edu

Google Scholar

About Me

I am a last year Ph.D. candidate in Industrial and Operations Engineering at the Department of Industrial & Operations Engineering of the University of Michigan at Ann Arbor. I have the pleasure of being advised by Professor Seth D. Guikema. I earned a MSc in Statistics at the Department of Statistics of the University of Michigan.

About My Research Interests

My current research aims to develop data-driven frameworks under uncertainty for predictive and prescriptive analytics in order to address the resiliency challenges of critical infrastructures. My work has been applied to power outage predictive modeling, crew coordination planning, tree risk assessment and food safety planning. This research draws many problems which have both practical impact and methodological contributions.

Methodologies: Data and Risk Analytics, Statistical Machine Learning Theory, Data-driven Robust and Stochastic Optimization, Predictive Modeling for Imbalanced Data, Deep Learning and Artificial Intelligence, Bayesian Modeling and Inference.

Applications: Energy Systems’ Resiliency, Risk Mitigation for Critical Infrastructures (e.g., transportation, energy, and water systems), Urban Systems’ Sustainability, Disaster Operations Management, Natural Hazards, Agriculture and Food Security, Supply Chain Management.

Honors and Awards

  • Winner, the Best Student Paper Award Recognized By the Foundational Issues in Risk Analysis Specialty Group at The Society for Risk Analysis (SRA) Annual Meeting (Dec 2019)

  • Departmental Nomination, INFORMS Doctoral Colloquium (Oct 2019)

  • Finalist, the Poster Competition at The Second Conference on Risk Analysis, Decision Analysis and Security (Aug 2019)

  • The Engineering Graduate Fellowship, IOE, University of Michigan (2018, 2019)

  • The SRA Travel Award, SRA Annual Meeting (Dec 2018, Dec 2019)

  • The Rackham Travel Grants (Fall 2017, Fall 2018, Summer 2019)

  • Winner, the Best Poster Award at the Society for Risk Analysis (SRA) Annual Meeting (Dec 2016)

  • The Full Scholarship From the Statistical and Applied Mathematical Sciences Institute (SAMSI) to attend the SAMSI Summer School 2016 program (Aug 2016)