About Me

My long-term research goal is to develop robust, lifelong learning robots that can perform effectively with uncertain and limited knowledge of the world, be easily deployed in new environments, and require minimal human intervention during their operation. As such, I work at the intersection of robotics, machine learning, and computer vision to develop robot learning systems that model and handle the uncertainty in their belief space while continuously learning new tasks from a few labeled examples.

I am currently 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 was advised by 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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