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Jinman (Eddie) Park
Jinman (Eddie) Park is a doctoral student in Systems Design Engineering under the supervision of Prof. Paul Fieguth and Prof. David Clausi. His thesis work is on superpixel salient object detection supported by Microsoft Office Media Group to perceive images in an abstract way. He is also involved with various other research areas such as…
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Mohsen Ghanbari
Ph.D. 2021
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Nicholas Pellegrino
Nicholas Pellegrino completed his master’s degree in Systems Design Engineering in 2022. He was associated with PhotoMedicine Labs and the Vision and Image Processing (VIP) Lab, and was co-supervised by Dr. Parsin Haji Reza and Prof. Paul Fieguth. His main research contributions were in the areas of signal processing, multi-spectral unmixing, and chromophore-selective PARS® imaging…
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Muhammed Patel
Hi, I am Muhammed Patel I am a graduate student pursuing a Master of Applied Science in Systems Design Engineering at the University of Waterloo. Prior to this, I completed a dual degree program in Industrial Engineering and Industrial Engineering Management with a specialization in Optimization at the Indian Institute of Technology (IIT) Kharagpur. I…
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Neil Brubacher
Neil is pursuing a MASc degree within the VIP Lab’s Remote Sensing group, continuing his Systems Design Engineering journey after having earned a BASc in SYDE in 2021. His research investigates deep learning methods for automating the interpretation of satellite and aerial imagery towards operational applications such as community sea ice safety and marine mammal…
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Yuan Fang
Yuan Fang is currently a postdoctoral fellow at VIP lab of the Department of systems design engineering. Her research interests include remote sensing image processing, hyperspectral imaging, machine learning and environmental monitoring. She received the B.Eng. and M.Sc. degrees in geomatics engineering from China University of Geosciences, Beijing, China, in 2016 and 2018, respectively. She received her Ph.D. degree…
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Xinwei Chen
I am a Postdoc in Vision and Image Processing Lab, working on computer vision, machine learning, ocean observation and remote sensing projects.
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Yuhao Chen
Yuhao’s research has been focused on developing computer vision and artificial intelligence solutions for industrial applications, specifically in the fields of precision health and precision manufacturing. He currently leads projects in food image analysis, medical imaging for covid, efficient Neural Radience Field, data augmentation using diffusion models for food and cancer images, 3d human pose…
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Yuhao Chen
My research interest lies in the development of computer vision and artificial intelligence solutions specifically designed for industrial applications. By concentrating on precision agriculture, precision health, and precision manufacturing,