Portrait of Matthew Pitropov

Matthew Pitropov

MASc student

MASc student, University of Waterloo (September 2019 - Present)

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

Publications

2020

Pitropov, M., Garcia, D., Rebello, J., Smart, M., Wang, C., Czarnecki, K. and Waslander, S., 2020. Canadian Adverse Driving Conditions DatasetarXiv preprint arXiv:2001.10117.

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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.

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.

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Atrisha Sarkar

PhD candidate
MMath Computer Science, University of Waterloo BTech Computer Science and Engineering, Vellore Institute of Technology, India

Publications

2020

A Sarkar, K Czarnecki, "Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous Driving", The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21).

Michal Antkiewicz

Michał Antkiewicz

Research associate

Research engineer, Autonomoose.net (Sep 2016-present)

Program coordinator, NSERC CREATE in Product-Line Engineering for Cyber-Physical Systems (September 2015-present)

Rodrigo Queiroz

Rodrigo Queiroz

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

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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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

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Maximilian Kahn

MMath candidate
B.A.&Sc., Quest University Canada

Publications

2020

Antkiewicz, M., M. Kahn, M. Ala, K. Czarnecki, P. Wells, A. Acharya, and S. Beiker, "Modes of Automated Driving System Scenario Testing: Experience Report and Recommendations ", SAE World Congress Experience: SAE, 2020.

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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.