Image Segmentation/Classification – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP

Amy Tai

Amy Tai — Sun, 09 Feb 2025 01:06:08 +0000

Amy Tai is a PhD student in the Vision and Image Processing Lab at the University of Waterloo. She is in the Computer Science program and supervised by Alexander Wong and Lukasz Golab. Her research focuses on the cancer domain with focus on medical imaging and computer vision. Previously, she completed her Master of Applied Sciences in the Systems Design Engineering program and her Bachelor of Applied Science in Management Engineering at the University of Waterloo. Outside of research, she enjoys playing squash, travelling, hiking, and swimming.

LinkedIn: https://ca.linkedin.com/in/amy-tai

Supervisors

Alexander Wong

Research interests

Amy’s research areas include medical image analysis, personalized nutrition intervention for the aging population, and improved rendering of 3D models. As a lead on the Cancer-Net initiatives, she is focused on providing open-sourced datasets and pre-trained models for the task of cancer diagnosis and prognosis, and nutritional intake estimation, respectively. In general, Amy is interested in medical research that leverages technological advancements to improve healthcare for all.

Research topics

Biomedical Imaging
Computer Vision
Image Segmentation/Classification

Research demos

Publications

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Niloofar Azad

Niloo Azad — Sat, 01 Feb 2025 23:51:12 +0000

Niloofar is currently a MASc student in Systems Design Engineering, co-supervised by Prof. David Clausi and Prof. Linlin Xu at the University of Waterloo. She is a member of the Vision and Image Processing (VIP) Lab’s Remote Sensing Group, and her research interests include Machine Learning and Image Processing for Remote Sensing applications.

Email: n2azad@uwaterloo.ca

Linkedin: https://www.linkedin.com/in/niloofar-azad/

Supervisors

David Clausi, Linlin Xu

Research interests

Machine Learning, Image Processing, Remote Sensing.

Research topics

Computer Vision
Image Segmentation/Classification
Remote Sensing

Junfeng Lei

Junfeng Lei — Tue, 24 Sep 2024 04:00:56 +0000

Junfeng is currently pursuing a M.A.Sc degree in Systems Design Engineering at the University of Waterloo, Canada. His research interests include machine learning and image processing with applications in remote sensing.

Email: junfeng.lei@uwaterloo.ca
Github: https://github.com/Junf137

Supervisors

David Clausi, Andrea Scott

Research interests

Image Processing, Machine Learning, Remote Sensing.

Research topics

Computer Vision
Image Segmentation/Classification
Remote Sensing

Publications

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Zahra Gharaee

Ken Nsiempba — Wed, 17 Jul 2024 17:25:14 +0000

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.

Supervisors

Research interests

Machine learning and artificial intelligence. Computer vision and image processing. Representation learning. Computational cognitive science.

Research topics

BIOSCAN Insect Biodiversity Assessment
Computer Vision
Image Segmentation/Classification
Video Analysis

Howard Nguyen-Huu

Howard Nguyen-Huu — Tue, 16 Jul 2024 21:59:42 +0000

I’m Howie, a Master’s student in Systems Design Engineering. I am co-supervised by Prof. David Clausi and Prof. Yuhao Chen and am part of the Sports Analytics Research Group. Previously, I have interned as a Machine Learning Engineer at Altis Labs, a Robotics Software Engineer at Ocado Intelligent Automation (formerly Kindred AI), and a Robotics Research Assistant at the Multi-Scale Additive Manufacturing Lab.

Email: hnguyenh [at] uwaterloo [dot] ca

GitHub: https://github.com/howird

LinkedIn: https://www.linkedin.com/in/howird/

Website: https://howird.com

Room: EC4 2038A

Supervisors

David Clausi, Yuhao Chen

Research interests

Computer Vision for Pose Estimation & Object Detection, Scene Understanding, Simulated Data Generation, Robotics

Publications

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Jayden Hsiao

Jayden Hsiao — Tue, 25 Jun 2024 17:48:19 +0000

Jayden is pursuing his MASc in Systems Design Engineering, co-supervised by Prof. David Clausi and Dr. Linlin Xu. He 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.

Jayden completed a BASc in Systems Design Engineering at the University of Waterloo in 2024. His research is generously funded by the Engineering Excellence Master’s Fellowship.

He is happy to connect through email at j3hsiao@uwaterloo.ca.

Supervisors

David Clausi, Linlin Xu

Research interests

Foundation models, sea ice classification, SAR image analysis, human-centred AI

Research topics

Computer Vision
Image Segmentation/Classification
Remote Sensing

Publications

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Lily de Loë

Lily de Loe — Mon, 24 Jun 2024 18:19:50 +0000

Lily is a Master of Applied Science (MASc) candidate in Systems Design Engineering, under the supervision of Dr. David Clausi and Dr. Andrea Scott. She is a member of the Vision and Image Processing (VIP) Lab’s Remote Sensing Group, where her research focuses on deep learning approaches for fusing visible and infrared measurements with Synthetic Aperture Radar (SAR) and passive microwave (PM) data. This work investigates if incorporating visible infrared measurements can enhance multi-task sea ice parameter estimation in regions that pose challenges for SAR and PM data.

Lily graduated from Queen’s University in 2023, where she completed a Bachelor of Applied Science (BASc) in Engineering Physics Computing.

Email: lcbdeloe@uwaterloo

Supervisors

David Clausi, Andrea Scott

Research interests

Machine Learning, Remote Sensing, Sea Ice Classification.

Research topics

Computer Vision
Image Segmentation/Classification
Remote Sensing

Vasyl Chomko

Vasyl Chomko — Sat, 30 Dec 2023 21:13:49 +0000

I am Vasyl Chomko, a Master of Applied Science student in Systems Design Engineering at the University of Waterloo.

My fundamental interest lies in the synergy of mathematics and computer science, which was fostered during my undergraduate studies at Taras Shevchenko National University of Kyiv and has been a cornerstone of my academic path. My professional experience as a software developer and DevOps engineer led me to the fascinating field of computer vision and visual image processing. Coupled with my background as a professional athlete, this has naturally led me to focus on sports analytics, applying my technical skills to work on better capturing and processing key elements of athletes’ equipment for further game strategy analysis.

Outside of my academic and professional interests, I am actively exploring various smart devices and developing simple time-saving software applications, while also devoting some time to a personal passion – rowing.

Email: vchomko@uwaterloo.ca
GitHub: github.com/1Basile
LinkedIn: linkedin.com/in/vasia-chomko

Supervisors

Alexander Wong, David Clausi

Research interests

Computer Vision for Sports Analytics, Cross-disciplinary Research, Pose Estimation, Video Analysis, Fake News Detection using NLP

Research topics

Computer Vision
Image Segmentation/Classification
Sports Analytics
Video Analysis

Kimathi Kaai

Kimathi Kaai — Mon, 23 Oct 2023 19:47:17 +0000

Kimathi is pursuing his MASc as part of the Vision and Image Processing Lab, under the Systems Design Engineering department. His research focuses on how to adapt vision-based machine learning models to generalized new data distributions in scarce data settings.

Email: kkaai@uwaterloo.ca

Personal Website: kimathikaai.com

Supervisors

Alexander Wong, Sirisha Rambhatla

Research interests

Exploring domain generalization in the context of image-level and pixel-level classification tasks.

Publications

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Mehrnaz Fani

Mehrnaz Fani — Fri, 01 Sep 2023 07:43:03 +0000

Mehrnaz Fani was an Industrial Postdoctoral Fellow at Vision and Image Processing Lab (VIP) – Systems Design Eng., University of Waterloo, Oct. 2018 – Sept. 2022. She received her Ph.D. in Electrical Eng. – Telecommunication Systems, from Shiraz University, Iran, in 2018. During her postdoc, she co-led a team of graduated students on the development of cutting-edge deep models for Hockey Video Analytics projects. This included collaboration with Stathletes Inc. on NHL data, and conducting research on homography estimation, players detection, tracking, 2D pose estimation, and action recognition from hockey videos. Mehrnaz, currently, works in industry and is focused on the research and development of advanced computer vision solutions for HD mapping for autonomous driving, from aerial images.

Email: fani.mehrnaz@gmail.com

Linkedin: https://www.linkedin.com/in/mehrnaz-fani/

Github: https://github.com/MehrnazFani

Supervisors

Alexander Wong, David Clausi, John Zelek

Research interests

My research interests are mainly in AI and machin 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.

Research topics

Computer Vision
Image Segmentation/Classification
Sports Analytics
Video Analysis

Publications

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