Elias Khalil
Ph.D.
Biography
My research interests are in Artifical Intelligence, particularly in the areas of machine learning and discrete optimization. My goal is to develop machine learning techniques that enable faster optimal decision-making in real-world applications. I focus primarily on discrete optimization, a core paradigm in operations research, and design data-driven approaches for solving large-scale problems arising in sustainability, transportation, and logistics. I was previously an IVADO Postdoctoral Scholar at Polytechnique Montréal, where I worked with Andrea Lodi. I did my Ph.D. in Computational Science and Engineering at Georgia Tech, where I worked with Bistra Dilkina, and collaborated closely with George Nemhauser.
Interests
- Artificial Intelligence
- Discrete Optimization
- Machine Learning
- Integer Programming
- Operations Research
Education
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Ph.D. in Computational Science & Engineering, 2019
Georgia Tech
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M.S. in Computer Science, 2014
Georgia Tech
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B.S. in Computer Science, 2012
American University of Beirut