PhD
Assistant Professor, Industrial Engineering
SCALE AI Research Chair in Data-Driven Algorithms for Modern Supply Chains
Email: khalil@mie.utoronto.ca
Tel: 416-978-4025
Office: BA8110
Research Areas
Operations Research
Applied Machine Learning
Research Interests
Machine learning, integer programming, algorithm design, learning to optimize, combinatorial machine learning
Bio
Elias Khalil is joining the Department of Mechanical & Industrial Engineering as Assistant Professor starting July 2020. Elias is spending the year as IVADO Postdoctoral Scholar at Polytechnique Montréal. He obtained his PhD in Computational Science and Engineering from Georgia Tech (2019), a MS in Computer Science from Georgia Tech (2014), and a BS in Computer Science from the American University of Beirut (2012). His research interests are in Artificial Intelligence with a focus on machine learning and discrete optimization. He is the recipient of an IBM Ph.D. Fellowship (2016-2017), the First Prize in the poster competition at INFORMS (2017) and the Best Paper Award at the NIPS Workshop on Frontiers of Network Analysis (2013). He has interned at IBM Research and Symantec Research Labs.