Matthew Angus

Matthew Angus

MMath student

BSc Computer Science, Algorithms and Complexity Theory, University of Calgary, Minor in Pure Mathematics

Matt works on semantic segmentation of images for autonomous driving.

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Michał Antkiewicz

Research associate

Rafael Olaechea Velazco

Rafael Olaechea Velazco

PhD student
BSc, Computer Science, McGill University MMath, Computer Science, University of Waterloo
Pavel Valov

Pavel Valov

PhD student

Publications

Google Scholar

Sean Sedwards

Sean Sedwards

Research Assistant Professor

Interests

Scalable verification and accelerated learning active deep learning for perception in autonomous driving statistical verification of stochastic and nondeterminsitic systems safe reinforcement learning and formal verification of machine-learned systems verification and optimisation of hybrid and timed systems accelerated simulation for rare event verification accelerated learning for prediction of rare events Behaviour modelling, planning and prediction
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Ed Zulkoski

PhD Candidate
Ph.D. Candidate, Computer Science, University of Waterloo B.Sc., Math and Computer Science, Wilkes University, 2012

Publications

2017

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Frédéric Bouchard

PhD Student
Mmath. - Computer Science, at Univeristy of Waterloo, Ontario, Canada B. Sc. A. in Informatics - Distinction Profile, at Université Laval, Québec, Canada DEC in Multimedia, at Cégep de Matane, Québec, Canada

Background

Jimmy Liang

Jimmy Liang

PhD Student
BSc, Computer Science, University of Waterloo MMath, University of Waterloo

Publications

2017

Portrait of Matthew Pitropov

Matthew Pitropov

Graduated MASc student

MASc student, University of Waterloo (September 2019 - February 2022)

Research engineer, Autonomoose.net (July 2017 - August 2019)

Publications

2021

Pitropov, M., Garcia, D.E., Rebello, J., Smart, M., Wang, C., Czarnecki, K. and Waslander, S., 2021. Canadian adverse driving conditions dataset. The International Journal of Robotics Research40(4-5), pp.681-690.

Rodrigo Queiroz

Rodrigo Queiroz

PhD student
MSc Computer Science, Federal University of Minas Gerais, Brazil  MBA Project Management, Fundação Getúlio Vargas, Brazil
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Vahdat Abdelzad

Postdoctoral Fellow

Vahdat Abdelzad is a Postdoctoral Fellow focusing on the safety aspects of machine learning models. He is studying the safety in terms of out of distribution detection for deep neural networks, explainable artificial intelligence, and active learning.

Rick Salay

Rick Salay

Research associate

Rick Salay, PhD, is a systems engineering researcher with broad expertise related to safety, uncertainty, machine-learning and modeling. He has conducted and led internationally recognized research on these topics with major industrial partners and has published over 75 peer-reviewed papers. For the past 5 years he has worked in the Waterloo Intelligent Systems Engineering Lab at University of Waterloo as part of a team developing innovative approaches to the safety of deep neural network based perception in automated driving systems.

J. Lee

Jaeyoung Lee

Research Associate

Prior affiliations 

2015.09 - 2017.12  Postdoctoral Fellow at the Reinforcement Learning and Artificial Intelligence Lab. at the University of Alberta, AB, Canada.

Selected publications

Constrained RL for safety-critical systems Lee, J., Sedwards, S. & Czarnecki, K. (2021). Uniformly constrained reinforcement learning, submitted to Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS): Special Issue on Multi-Objective Decision Making (MODeM) — under review.
Changjian Li

Changjian Li

MASc student

BEng Automation, University of Science and Technology of China

Changjian works on applying hierarchical reinforcement learning to behavioral planning problem in autonomous driving.

Samin Arman Khan

Samin Arman Khan

MASc student

BEng Mechatronics, McMaster University, Ontario, Canada

Research interests

autonomous vehicles perception and object classification deep learning neural nets

Samin works on semantic segmentation of images for autonomous driving.

Ian Colwell

Ian Colwell

MASc student

BSc Electrical and Computer Engineering, University of New Brunswick, New Brunswick, Canada

Research interests

Autonomous vehicles Software and hardware architectures for cyber-physical systems Robotics
Krzysztof Czarnecki

Krzysztof Czarnecki

Professor of Electrical and Computer Engineering
PhD Graduate, Technical University of Ilmenau MSc Graduate, California State University at Sacramento Dipl-Inf Graduate, Technical University of Ilmenau

Krzysztof works on many aspects of autonomous driving, including requirements, architecture, and planning.

Rahul Chandail

Rahul Chandail

MASc student

BASc Electrical and Computer Engineering, University of Windsor, Ontario, Canada

Rahul works on visual odometry and sensor fusion.

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Atrisha Sarkar

PhD candidate

I am a PhD candidate in the David R Cheriton School of Computer Science. My research focuses on creating game-theoretic models of human driving behaviour as well as applications of models for validation and planning of autonomous vehicle planners.

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Opportunities

We are looking for postdocs and graduate students interested in working on all aspects of autonomous driving.

For more information, visit Open positions.