About Me

My long-term goal is to build robots that continually use the knowledge gained during their lifespan to improve their performance and learn new tasks with human-like efficiency. As such, I work at the intersection of machine learning, robotics, and computer vision to develop intelligent robot systems with theoretically-founded lifelong learning capabilities. I am interested in a broad range of topics including Bayesian deep learning, conformal prediction, out-of-distribution detection and generalization, and continual learning. Recently, I have also been working on using Optimal Transport theory to solve machine learning problems.

Currently, I am an IVADO Postdoctoral Research Fellow at Mila-Quebec AI Institute. I am part of the Montreal Robotics and Embodied AI Lab (REAL) working with Professor Liam Paull.


Before that, I was a Ph.D. candidate at the University of Toronto Institute for Aerospace Studies (UTIAS). I work under the supervision of Professor Steven Waslander as a part of the Toronto Robotics and Artificial Intelligence Laboratory(TRAIL).


2016 - 2021

Ph.D. Aerospace Science and Engineering

University of Toronto, Toronto, Ontario, Canada

-Ph.D. Thesis: Estimating and Evaluating Predictive Uncertainty In Deep Object Detectors.

-Supervisor: Prof. Steven Waslander

2014 - 2016

M. Eng. Mechanical Engineering

American University of Beirut, Beirut, Lebanon

-Master's Thesis: Towards Fully Self-Supervised Free Space Estimation For Unmanned Ground Vehicles

-Supervisor: Prof. Daniel Asmar

2010 - 2014

B. Eng. Mechanical Engineering

American University of Beirut, Beirut, Lebanon

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