Machine Learning Researcher | Ali Harakeh

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).

Recent News

My paper on predictive uncertainty in deep object detectors has been accepted to ICLR 2021. Check it out at this link.

Our survey paper on probablistic object detection is now on arXiv. Code for surveyed methods is available here.

1 paper accepted to ICRA 2020.

Presented my talk on how to evaluate predictive uncertainty estimates in deep object detectors at IROS 2019.

Joined the University of Toronto as a full time Ph.D. Student.

Presented my talk on future challenges in 3D object detection for autonomous driving at the Toronto Machine Learning Summit.

Presented my talk on 3D object detection for autonomous driving at the Vector Institute Endless Summer School.

Research Highlights

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Contact Me

Email:

Phone: +1(519) 5040469