Alumni – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP

Mohammad Basri

Mohammad Basri — Tue, 10 Mar 2026 19:24:25 +0000

I am Mohammad Basri and I am pursuing graduate studies in System Design Engineering at the University of Waterloo, specializing in applications of AI and ML in public health informatics, including infectious disease forecasting and medical outcome prediction. I am dedicated to leveraging technology for business innovation and passionate about entrepreneurship. He is also an avid sports enthusiast, often found playing tennis or basketball outdoors.

Research topics

Remote Sensing

Supervisors

David Clausi, Linlin Xu

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Auguste L. W. Koh

Auguste Koh — Tue, 10 Mar 2026 19:22:36 +0000

Auguste earned his BASc degree in Biomedical Engineering at the University of Waterloo in 2021. He is currently pursuing an MASc degree under the supervision of Professor Paul Fieguth. His main research is focused on detecting near misses from video of vehicular and pedestrian traffic; this project is in collaboration with Miovision. In addition, he is a collaborator on the Federated Learning for Robot Picking (FLAIROP) project, in which he works on inferring object relationships from images.

Supervisors

Paul Fieguth

Research interests

Deep learning for video, scene understanding, object detection, object tracking, bin picking, and 3D pose estimation.

Research topics

Computer Vision
Video Analysis

Soyeon Jang

soyeon jang — Tue, 11 Feb 2025 14:33:39 +0000

Soyeon is a Master of Applied Science candidate in Systems Design Engineering, co-supervised by Prof. Paul Fieguth and Prof. Yuhao Chen. Soyeon is interested in the intersection of computer vision and computer graphics, specifically on animal fur reconstruction and simulation.

Email: s7jang [at] uwaterloo [dot] ca

Supervisors

Paul Fieguth, Yuhao Chen

Research interests

Computer Vision, Computer Graphics, 3D Reconstruction, Simulation

Ryan Schmalenberg

Ryan Schmalenberg — Sat, 02 Nov 2024 19:15:46 +0000

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 length cameras.

Email: rnschmal [at] uwaterloo [dot] ca
LinkedIn: www.linkedin.com/in/ryan-schmalenberg
GitHub: https://github.com/Engnation
Thesis: https://hdl.handle.net/10012/21120

Research topics

Computer Vision

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Research interests

My research interests lie at the intersection of computer vision, robotics and deep neural networks with a particular focus on exploring extensions of real-world conditions through simulations.

Supervisors

John Zelek

Liam Salass

Liam Salass — Mon, 07 Oct 2024 20:21:29 +0000

Liam is a Master of Applied Science candidate in System Design Engineering at Waterloo. He completed his undergraduate studies at Queen’s University’s Smith School of Engineering in Computer Engineering. Liam’s previous research as an undergrad was in 6 degrees of freedom pose estimation as part of the RCVLab. Currently, Liam is contributing to the sports analytics research group (SARG) in VIP Lab.

Email: liam.salass@uwaterloo.ca
Github: https://github.com/Liamsalass
LinkedIn: (26) Liam Salass | LinkedIn

Research interests

——-

Supervisors

David Clausi, John Zelek

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Yan Song Hu

Kevin Hu — Mon, 07 Oct 2024 12:26:17 +0000

I am Yan Song (Kevin) Hu, a Master’s candidate in Systems Design Engineering at the University of Waterloo. I hold a Bachelor’s degree in Mechatronics Engineering from the University of McMaster with minors in mathematics and business. Under the supervision of Professor John Zelek, my research combines 3D Gaussian Splatting (3DGS) and Simultaneous Localization and Mapping (SLAM) in order to further the Spatial AI field.

My most major contribution is the development of a novel volumetric dense SLAM system that harness the synergy between the photometric SLAM system Direct Sparse Odometry (DSO) and 3DGS, thereby achieving a combination of speed, map quality, and memory efficiency unmatched by other dense SLAM systems. This innovative SLAM system is currently under review for the 2025 IEEE International Conference on Robotics and Automation (ICRA).

Email: y324hu@uwaterloo.ca

Site: https://yansonghu-lele.github.io/

Demonstration of my Dense SLAM System

Short GIFs of my dense SLAM system working live on the Replica and EUROC MAV datasets

Supervisors

John Zelek

Research interests

Simultaneous Localization and Mapping (SLAM)
Spatial AI

Research topics

Computer Vision

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

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

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

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

Chang Liu

Chang Liu — Mon, 19 Feb 2024 01:25:52 +0000

Chang is a Master’s student in Systems Design Engineering at the University of Waterloo, co-supervised by Prof. Sirisha Rambhatla and Prof. Alex Wong. Chang’s research focus is on unsupervised domain adaptation in Computer Vision, with application to manufacturing and medical imaging.

Email: chang [dot] liu [at] uwaterloo [dot] ca

LinkedIn: www.linkedin.com/in/hellochang

Website: www.hellochang.com

X/Twitter: twitter.com/hellochangg

Supervisors

Alexander Wong, Sirisha Rambhatla

Research interests

Domain Adaptation, Semantic Segmentation, Computer Vision