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Zahra Gharaee
As a seasoned senior research scientist, I bring expertise in computer vision, machine learning, and artificial intelligence to the forefront of my work. My research endeavours centre around pioneering subjects, including advanced image processing and video analysis, representation learning, action recognition, autonomous systems and graph convolutional neural networks. GoogleScholar Linkedin Orcid Github
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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…
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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
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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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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.
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Max Manning
Max was a Master’s student in Systems Design Engineering at the University of Waterloo. Interested in imaging and remote sensing systems, computer vision, optics, electronic hardware design, and signal processing
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Amir Nazemi
The longer you look at an object, the more abstract it becomes, and, ironically, the more real. Lucian Freud Amir has years of experience in machine learning, computer vision and has been a part of multiple interdisciplinary teams, including a research lab in Korea, a joint research project with Microsoft, and a collaboration with the…
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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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Peter Q. Lee
Peter is a former MASc student (2018-2020) who was supervised by Prof. David Clausi and Prof. Linlin Xu. His research focus was towards remote sensing images. In his thesis, he developed methods to improve the image quality of the Sentinel-1 synthetic aperture radar (SAR) images over ocean regions. He also worked towards solving the problem…
