Self-supervised representation learning (SSRL) has advanced considerably by exploiting the transformation invariance assumption under artificially designed data augmentations. While augmentation-based SSRL algorithms push the boundaries of performance in computer vision and natural language processing, they are often not directly applicable to other data modalities, and can conflict with application specific data augmentation constraints. This project […]

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Our research project focuses on monitoring crops using satellite images. To address the problem, we leverage a fast-growing field of graph signal processing (GSP), which expands upon traditional signal processing techniques such as Fourier transform and wavelets to accommodate the graph domain. Specifically, we propose to unroll a designed graph-based algorithm into an interpretable feed-forward […]

Forestry directly modifies wildlife habitat, but how can informed, science-based management decisions be made without an adequate understanding of how different species will be affected? In the Central Coast of British Columbia, decades of industrial forestry have converted many stands of old-growth forest to second growth, creating networks of roads and cut blocks of varied […]

My project involves the development of sustainable and economical nanocomposite 3D material. The project aims to address the issue of pharmaceuticals and personal care products (PPCPs) contamination of wastewater. The presence of pharmaceuticals and PPCPs in aquatic environments has become a pressing global issue, endangering marine life and human health. PPCPs encompass a broad range […]

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Tissue engineering involves extracting cells from patients, growing them in a laboratory setting, and subsequently employing them for disease treatment . However, cell expansion encounters various obstacles, such as significant expenses and labor requirements, resulting in increased treatment costs. Moreover, the industry struggles with challenges such as skilled personnel shortages and difficulties in scaling up […]

This project aims to develop and bring to market a point-of-care test (POCT) device driven by artificial intelligence to identify pathogenic yeast species from microscopy images collected from clinical samples (blood and urine). We will evaluate the efficacy of microfluidic devices to aid in the capture of microscopy images of different yeast species and their […]

The Centre for Local Innovation & Collaboration (CLIC) project will team up with small businesses from Richmond Hill’s Small Business Enterprise Centre. Interns from OCAD University’s Strategic Foresight and Innovation (SFI) Master of Design program will (through research) help these businesses with their innovation challenges using various methods like human-centered design, futures thinking, and strategic […]

Travelling on ice is central to Inuit well-being, identity and culture. Rough sea ice can pose as a hazard, or impediment to travel. Currently, regular, quality, high-resolution information is difficult to obtain from satellite instruments, but synthetic aperture radar (SAR) has shown potential in all these aspects. In this project, the intern will analyse the […]

BioAro Inc. is a biotech startup that provides valuable health insights through genetics and microbiome testing, helping people understand their health risks and make better decisions about diseases, medication, and nutrition. They have recently launched two new products: PanOmiQ, a software that gives quick insights into the human genome, and BioSport, which offers personalized health […]

The AIaaS (AI as a Service) project aims to develop an advanced, scalable platform to host and manage AI models, ensuring high performance and efficiency. This open-source system will leverage the latest AI technologies and distributed computing to deliver fast and reliable AI services. Key features include automated load balancing, dynamic resource allocation, and real-time […]