PhD Candidate
Institute For Aerospace Studies,
University of Toronto,
4925 Dufferin Street, Toronto, Ontario, Canada
About Me
My long-term goal is to build robots that continually use 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.
Currently, I am a PhD 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).
Before that, I was a graduate research assistant at the Computer Vision and Robotics Lab (VRL) at the American University of Beirut, Beirut, Lebanon. My advisor was Professor Daniel Asmar, who heads VRL. My Masters work focused on self-supervision for robot free space estimation using vision based sensors. I developed and tested an algorithm that extracts training pixels belonging to free space in stereo image pairs in real time.
Education
2016 - Present
Ph.D. Aerospace Science and Engineering
University of Toronto, Toronto, Ontario, Canada
-Ph.D. Thesis: Estimating, Evaluating, and Exploiting Predictive Uncertainty In Deep Object Detectors.
-Supervisor: Prof. Steven Waslander
-GPA: 4.0
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
-GPA: 4.0
2010 - 2014
B. Eng. Mechanical Engineering
American University of Beirut, Beirut, Lebanon