McGill University - Computer Science
Assistant Professor at McGill University
Higher Education
David
Meger
Montreal, Quebec, Canada
Researcher in visual intelligent systems. Seeking positions to continue developing the state-of-the-art in practical visual understanding with the goal of making this technology suitable for production-level systems such as autonomous cars, surveillance, environmental monitoring and home assistants.
PhD Candidate
My thesis research is on 3D automated scene understanding for mobile platforms. We are re-visiting Active Vision using modern statistical learning for the appearance of objects. Our research shows how to locate objects robustly in 3D, guide the robot during search for objects, and overcome visual challenges such as occlusion and clutter.
Assistant Professor, School of Computer Science
David worked at McGill University as a Assistant Professor, School of Computer Science
Senior Researcher and Partner
Implementing research algorithms for practical solutions including: probabilistic classification from noisy sensor inputs, use modeling and natural language processing for recommender systems, intelligent routing for mesh network solutions. Design and guide team members in low-level implementation of proposed research.
Software Engineer Coop Student
David worked at MacDonald, Dettwiler and Associates Ltd. (MDA) as a Software Engineer Coop Student
Research Engineer
Developed an autonomous aerial map creation system for an Unmanned Aerial System (UAS) which could deliver ortho-photo maps in near real-time for the purposes of disaster management. Implemented automated image registration, rectification, mosaicing and interface to Web Map Server (WMS) for data delivery.
PhD
Computer Science
PhD Candidate
My thesis research is on 3D automated scene understanding for mobile platforms. We are re-visiting Active Vision using modern statistical learning for the appearance of objects. Our research shows how to locate objects robustly in 3D, guide the robot during search for objects, and overcome visual challenges such as occlusion and clutter.
Postdoctoral Researcher
Robotics and Computer Vision
MSc
Computer Science - Robotics and Sensor Networks
Assistant Professor, School of Computer Science