PhD Student

Primary Website

http://www-personal.umich.edu/~ekabir

Research Interests

Elnaz Kabir’s main research interests lie at the intersection of optimization and applied statistics, and also machine learning. Her research is focused on developing statistical methods for learning from imbalanced data sets. The particular focus of her research will be on the development of statistical methods for predicting the power outage ratio.

Academic Advisor: Seth Guikema
Position Sought: Academic, Industry
Availability: Aug 2019

Professional Service

Student Lecturer (Fall 2018): IOE 460 – Decision Analysis and Bounded Rationality

Student Lecturer (Fall 2017): IOE 460 – Decision Analysis and Bounded Rationality