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

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

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

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

Matthew Bradley

Matthew Bradley — Wed, 17 Jan 2024 00:40:49 +0000

At the VIP Lab Matthew has worked to improve the robustness of Visual Place Recognition to environmental effects through an MASc supervised by Dr. John Zelek. VPR is used to detect when a camera returns to a previously-visited location and is core to Simultaneous Localization and Mapping (SLAM), itself a mainstay of mobile robotics including self-driving vehicles. Matthew’s research has been focused on integrating visually-recovered 3D structure into VPR, as this is robust to illumination and viewpoint changes that hinder the versatility of appearance-based methods. Matthew holds a prior BEng degree in computer engineering from Toronto Metropolitan University with added focus in computer vision, robotics, and machine learning.

Email: m7bradle@uwaterloo.ca
Github: https://github.com/m7bradle

Supervisors

John Zelek

Research interests

Matthew’s research interests are in Structure From Motion (SFM), (Simultaneous Localization and Mapping) SLAM, scene understanding, and robotics.

Research topics

Computer Vision

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

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

Yuxiang Huang

Yuxiang Huang — Thu, 07 Dec 2023 21:00:08 +0000

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 the University of British Columbia.

LinkedIn: LinkedIn

Supervisors

John Zelek

Research interests

Motion Segmentation, 3D Computer Vision, Structure from Motion, Image Segmentation

Research topics

Computer Vision
Video Analysis