Xiao Liang Zhou

MASc, Department of Electrical and Computer Engineering, University of Waterloo

Xiaoliang completed his MASc in the lab in 2023 on the topic of using Game Theory and Reinforcement Learning to provide a more robust, adversarial approach to... Read more about Xiao Liang Zhou

Shayan Shirahmad

Shayan joined the lab in Fall 2021 to work on advancing his existing Master's research into improving Pedestrian Detection for Automotive Safety.... Read more about Shayan Shirahmad

Oleksandra Nahorna

Oleksandra joined the university as a graduate student in 2022 and joined our lab in 2023 while completing a degree in Economics on cryptocurrency analysis.... Read more about Oleksandra Nahorna

Laura McCrackin

MASc Computer Engineering, McMaster University

BEng. Computer Engineering, McMaster University

Laura is pursuing a PhD looking at novel ways to apply Deep Learning methods to problems in medical imaging for the understanding, classification and...

Josh Li

MASc, Department of Electrical and Computer Engineering, University of Waterloo

Josh completed a MASc in the lab in 2023 on approaches to prediction of Driver Behaviour Learning from collected human driving data using a variety of deep... Read more about Josh Li

Xiang Fang

Xiang joined the lab in 2022 to purse a MASc degree in the use of Deep Learning for understanding and predicting forest fire spread using raw data and... Read more about Xiang Fang

Nouha Chatti

Nouha is pursuing a MASc degree investigating the impact of various approaches to curriculum learning for using Reinforcement Learning in domains with detailed... Read more about Nouha Chatti

Pardis Zohouri (graduated)

MASc Electrical and Computer Engineering, University of Waterloo

BSc Computer Science, Università degli Studi di Padova

Pardis completed her MASc research in 2019 focussed on using deep learning to perform classification and prediction in domains containing spatially...

Maria Samad (former)

MEng ECE, Ned University of Engineering and Technology

BEng Electrical and Computer Engineering, Carleton University

Maria's research focussed on robust anomaly detection in high volume streaming data such as occur in embedded systems, trace logs and automotive...

Sahil Pereira (graduated)

MASc Electrical and Computer Engineering, University of Waterloo

BASc Computer Engineering, University of Waterloo

Sahil is an MASc student working on using machine learning to adapt autonomous driving systems to individual driver behaviour styles.

Olivier Nguyen (graduated)

MASc University of Waterloo (completed)

BEng Concordia University, Montreal

Element AI

Health Data Science Lab

Olivier was an MASc. student working in collaboration with...

Dr. Benyamin Ghojogh (graduated)

PhD. Electrical and Computer Engineering, University of Waterloo

MSc. Electrical Engineering, Sharif University of Technology

B.Eng, Electrical Engineering, Amirkabir University of Technology

Google Scholar

Research Homepage

Benyamin successfully completed his PhD research in our lab in 2021 and continued on as a postdoctoral scholar student for one year before...

Sriram Ganapathi Subramanian (graduated)

PhD, University of Waterloo, Department of Electrical and Computer Engineering

MASc University of Waterloo

BEng Geomatics, College of Engineering Guindy, Anna Univeristy

Research Website

Sriram's research in the lab focussed on the use of Machine Learning to understand and simulate spatially spreading processes like forest fires by...

Juan Carrillo (graduated)

MASc ECE, University of Waterloo

Juan Carrillo is an MASc student in the UWECEML lab working on using deep learning to automatically classify road snow coverage conditions using low resolution... Read more about Juan Carrillo (graduated)

Zehra Camlica (graduated)

PhD, Department of Electrical and Computer Engineering, University of Waterloo

Zehra completed her PhD research on Driver Behaviour Learning in 2023. Read more about Zehra Camlica (graduated)

Mark Crowley

Associate Professor in Electrical and Computer Engineering

PhD Computer Science

Students