Marko Ilievski

Marko Ilievski

MMath Candidate

Previous positions

B.Sc. graduate (2017), Department of Mathematics & Computer Science, University of Lethbridge, Canada

Publications

2020

Vahdat Abdelzad photo

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

2019

A Sarkar, K Czarnecki, "A behavior driven approach for sampling rare event situations for autonomous vehicles", 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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 an expert in software modeling research, having published over 40 peer-reviewed papers in the area. Two of these won best paper awards (one of them at International Conference on Software Engineering (ICSE), the top software engineering conference) and another one was nominated for best paper in Requirements Engineering (RE), the top international requirements engineering conference.

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
Frédéric Bouchard Picture

Frédéric Bouchard

MMath Student
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.

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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Opportunities

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

For more information, visit Open positions.