Ebrahim Mortaz
Biography
ACADEMIC AND PROFESSIONAL ENGAGEMENT ACTIVITIES
Dr. Ebrahim Mortaz is a faculty member in Management Science at the Lubin School of Business, where he has served since 2017. His research focuses on stochastic programming, applied artificial intelligence, and reinforcement learning. Dr. Mortaz’s work bridges theory and practice, with publications applying these methods to address challenges in the energy and healthcare sectors.
Education
Industrial and Systems Engineering
ME, Auburn University, Auburn AL
Industrial Engineering
Publications and Presentations
SELECTED CONTRIBUTIONS & PUBLICATIONS
Mortaz, E., Vinel, A. (2022). Predictive machine learning for prescriptive applications: a coupled training-validating approach(A- Journal). Knowledge-Based Systems. 25011. Read More >>
Mortaz, E. (2020). Imbalance accuracy metric for model selection in multi-class imbalance classification problems (A- Journal). Knowledge-Based Systems.
Mortaz, E., Dag, A., L.H., Gharibo, C., Anzisi, L., Bosco, J. (2021). Short-term prediction of opioid prescribing patterns for orthopaedic surgical procedures: a machine learning framework. Journal of Business Analytics.
Mortaz, E., Valenzuela, J. (2017). Microgrid energy scheduling using storage from electric vehicles. Electric Power Systems Research. Read More >>