Samin Arman Khan
MASc student
BEng Mechatronics, McMaster University, Ontario, Canada
Research interests
autonomous vehicles perception and object classification deep learning neural netsSamin works on semantic segmentation of images for autonomous driving.
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
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
MASc student
BASc Electrical and Computer Engineering, University of Windsor, Ontario, Canada
Rahul works on visual odometry and sensor fusion.
Atrisha Sarkar
PhD
Publications
2021
Sarkar, Atrisha, Kate Larson, and Krzysztof Czarnecki. "Generalized dynamic cognitive hierarchy models for strategic driving behavior." arXiv preprint arXiv:2109.09861, 2022 AAAI Conference on Artificial Intelligence (AAAI 2022).
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.
Rafael Olaechea Velazco
PhD student
BSc, Computer Science, McGill University
MMath, Computer Science, University of Waterloo
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
Ed Zulkoski
PhD Candidate
Ph.D. Candidate, Computer Science, University of Waterloo
B.Sc., Math and Computer Science, Wilkes University, 2012
Publications
2017
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
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 Research, 40(4-5), pp.681-690.
Rodrigo Queiroz
PhD student
MSc Computer Science, Federal University of Minas Gerais, Brazil
MBA Project Management, Fundação Getúlio Vargas, Brazil
Marko Ilievski
MMath Candidate
Previous positions
B.Sc. graduate (2017), Department of Mathematics & Computer Science, University of Lethbridge, CanadaPublications
2020
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.
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.
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.
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.