Elias B. Khalil - Department of Mechanical & Industrial Engineering

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
Website: ekhalil.com

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.

Traditional Land Acknowledgement

We wish to acknowledge this land on which the University of Toronto operates. For thousands of years it has been the traditional land of the Huron-Wendat, the Seneca, and the Mississaugas of the Credit. Today, this meeting place is still the home to many Indigenous people from across Turtle Island and we are grateful to have the opportunity to work on this land.