This project aims to help older adults and people with neurological conditions such as stroke or Parkinson’s disease stay independent longer by developing a tablet-based digital therapeutic tool called SynapPlay. The platform combines physical and cognitive tasks with real-time feedback to improve balance, thinking skills, and motor control, all from the comfort of home. Through […]

The global manufacturing sector is shifting towards high-mix, low-volume (HMLV) production. While large corporations can invest in advanced automation, Canada’s small and medium-sized enterprises (SMEs) face a significant “adoption chasm.” This gap is driven by prohibitive upfront capital costs for robotic systems, a critical lack of in-house programming and maintenance expertise, and the financial risk […]

This project initially targets drug discovery labs, with long-term plans to expand into broader biomedical research. As AI becomes integral to scientific work, we aim to build a custom AI assistant that goes beyond basic chat support, capable of running code, executing ML/DL pipelines, and assisting with lab-specific tasks.

U-Pro Soccer is a Canadian sportstech company developing a mobile-first training platform that uses AI and computer vision to help youth athletes practice soccer drills at home using only a smartphone and a training mat. Many young players lack access to structured training, especially outside of team environments, and U-Pro aims to fill this gap […]

This project focuses on exploring how a new water based technology—called a nanobubble generator—can help solve common challenges in agriculture, aquaculture, and water treatment across Canada. Nanobubbles are minuscule gas bubbles that improve water quality by increasing oxygen levels, cleaning surfaces, and reducing the need for harmful chemicals. While this technology has seen success in […]

This project explores innovative ways to convert agricultural residues (i.e., oat husks) into sustainable construction materials. Specifically, the research focuses on developing and validating cement replacement products derived from agro-waste, which can help reduce the carbon footprint of concrete, a major contributor to global greenhouse gas emissions. The intern will work closely with both academic […]

The pattern of healthcare costs before and after a cancer diagnosis may differ according to immigration status and sex. The main aim of this study is to compare the healthcare costs of immigrants and non-immigrants before and after a cancer diagnosis. Another aim is to compare the differences in healthcare cost patterns between immigrants and […]

This project explores the feasibility of using a hybrid sensing system that combines Near-Infrared Spectroscopy (NIR) and Electronic Nose (E-Nose) technologies, enhanced by machine learning, to detect early signs of spoilage and contamination in stored grains. By analyzing changes in grain structure and gas emissions, the study contributes to ongoing research on reliable, non-destructive, and […]

We have developed a novel data augmentation procedure that significantly enhances machine learning-based classification of different brain imaging scans. Having successfully demonstrated proof-of-concept in a rodent model, we are now expanding this approach to clinical applications in humans. Specifically, we aim to utilize this technology to identify early biomarkers of neurodegenerative diseases, enabling personalized treatment […]

We are building GradFinder, an online platform that connects students with professors who are actively recruiting for thesis-based graduate programs. Many students struggle to find available positions, and professors are overwhelmed by unqualified inquiries. Our platform streamlines this process, improving access and efficiency on both sides. Through this project, we aim to refine our business […]

Creditcliq is a fintech solution designed to help newcomers to the U.S. and Canada access financial products like credit cards, loans, and rentals by sharing their home country credit history with local banks and credit unions.

The objective of the proposed research is to design and implement an innovative IBI scheme capable of minimizing basis risk. Forage insurance will be used as an example to empirically examine the effective implementation of the IBI, through establishing an adequate relationship between the weather index and forage yield. Therefore, a second objective of the […]