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Ryan Schmalenberg
Hi, my name is Ryan Schmalenberg. I am a graduate of the Master of Applied Science program in Systems Design Engineering. My work in the VIP lab relates to 3D computer vision through camera calibration, and is specifically related to validating methods for accurate camera calibration from out-of-focus images, which is required for long focal…
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Yan Song Hu
Yan Song Hu is a MASc student at this lab working on combining 3D Gaussian Splatting and Simultaneous Localization and Mapping (SLAM).
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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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Yuxiang Huang
Yuxiang Huang is a Master of Applied Science student in Systems Design Engineering, supervised by Prof. John Zelek and associated with the Vision and Image Processing (VIP) Lab. His research focuses on motion segmentation and structure from motion. Prior to this, he completed his Bachelor of Applied Science in Computer Engineering degree with a Minor in Statistics at…
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Saeejith Nair
Saeejith is an MASc student in Systems Design Engineering, supervised by Prof. Alexander Wong and Prof. Javad Shafiee. His research primarily involves improving machine learning architecture efficiency, with a focus on applications in embedded systems and robotics.
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Kimathi Kaai
Kimathi is completing his MASc under the Systems Design Engineering department with a research focus on domain generalization for vision-related tasks.
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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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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.
