-
Howard Nguyen-Huu
Howard is a Master’s student in Systems Design Engineering, co-supervised by Prof. David Clausi and Prof. Yuhao Chen as part of the Sports Analytics Research Group
-
Jayden Hsiao
Jayden is interested in the semantic segmentation of sea ice using synthetic aperture radar (SAR) and passive microwave (PM) data to improve Indigenous community safety, climate modelling, and ship navigation.
-
Lily de Loë
Lily is a master’s student in Systems Design Engineering, supervised by Dr. David Clausi and Dr. Andrea Scott. She is a member of the Remote Sensing Group, where her research investigates multimodal data fusion and multi-task learning of sea ice parameters, specifically incorporating visible and infrared data.
-
Vasyl Chomko
Master of Applied Science student in the Systems Design Engineering program, supervised by Prof. David Clausi and Prof. Alex Wong. He is part of the Sports Analytics group. Currently, his research focuses on object segmentation and key point detection in low-resolution videos.
-
Ken M. Nsiempba
Ken is a PhD student, he teaches computers how to interpret ice hockey games events by improving player tracking, action recognition and play detection.
-
Kseniia (Ksusha) Buzko
Kseniia (Ksusha) Buzko is a Master of Applied Science student in the Systems Design Engineering program. She is supervised by Prof. David Clausi and Prof. Yuhao Chen. Her research interests include action recognition and action detection.
-
Chris Dulhanty
Chris is a Robustness Analysis Machine Learning Engineer at Apple, where he works to anticipate, analyze, and mitigate technical and social failures of machine learning systems. He completed his M.A.Sc. in Systems Design Engineering at the University of Waterloo in 2020 as a member of the Vision and Image Processing Lab, supervised by Alexander Wong…
-
Brennan Gebotys
Brennan was a MASc student who worked on novel motion-aware strategies for efficient and accurate video analytics. His thesis highlights the significant potential of leveraging motion information in video analytics, particularly in the domains of pose estimation and action recognition
-
Kanav Vats
Kanav was a PhD Candidate at the University of Waterloo, supervised by Prof. David Clausi and Prof. John Zelek. He worked on computer vision-based sports analytics, with a focus on problems such as player tracking, player identification, event detection, and pose estimation.
-
Mehrnaz Fani
My research interests are mainly in AI and machine learning, particularly deep learning and computer vision. I am especially interested in working with video and image data and designing novel solutions to address the real-world problems.
