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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.
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Peter Q. Lee
Peter Lee is currently a PhD student (2020 – ) supervised by Prof. Katja Mombaur and Prof. John Zelek. His research interests include optimal control, compliant control with force feedback, and visual servoing. He is currently working to automate the nasopharyngeal swab test using the collaborative Franka Emika 1 research arm.
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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.
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Mingzhe (Major) Jiang
Mingzhe Jiang (Graduate Student Member, IEEE) received a B.Eng. degree in electronic information engineering and an M.Eng. degree in signal and information processing from the Hefei University of Technology, Hefei, China, in 2013 and 2016, respectively. He is currently pursuing a Ph.D. degree in systems design engineering at the University of Waterloo, Waterloo, ON, Canada.…
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Kevin Zhu
PhD student at the VIP lab.
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Yuan Fang
Yuan Fang received her Ph.D. degree from the VIP lab of the Department of systems design engineering, University of Waterloo, ON, Canada in 2022. Her research interests include remote sensing image processing, hyperspectral imaging, machine learning, and environmental monitoring. She received her B.Eng. and M.Sc. degrees in geomatics engineering from China University of Geosciences, Beijing, China, in 2016…
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Saeid Taleghanidoozdoozan
Saeid is a PhD graduate in the Systems Design Engineering department. He holds an M.Sc. in remote sensing from K. N. Toosi University of Technology in Tehran, Iran, where he developed a passion for applying advanced machine learning techniques to remote sensing applications.
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Marjan Shahi
A Ph.D. student interested in Sports Analytics
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Zilong Zhong
I’m a PhD student specialized in Machine Learning & Intelligence. My research interests include deep learning, computer vision, probabilistic graph models, and their applications to various data interpretation scenarios.
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Robert Amelard
My research passions lie broadly in the realm of computer vision with a HCI/human factors twist. I am focusing my PhD thesis work on extracting hemodynamic information from videos. For my Master’s, I designed intuitive image features to help doctors make more accurate diagnoses of melanoma. Apart from medical image processing, I have also dappled…
