Probiotics are suggested to greatly reduce the risk of mortality and risk of infection in the gut of preterm infants. However, probiotics are rarely given to babies in hospitals in North America. The aim of this study is to assess the effectiveness of probiotics supplementation in improving intestinal heath and preventing gut complications in premature […]

Traumatic Brain Injury (TBI) is a significant health problem mainly because of its plausible prolonged sequelae and lack of objective measures for recovery. There are usually some disabling persistent post-TBI symptoms (mostly neurological) that do not respond to the current clinical and physical rehabilitation. This proposal aims to investigate the effect of a promising treatment […]

With advances in techniques, high volumes of valuable data are generated in many domains (e.g., energy sector) at a rapid rate. Consequently, a scalable and flexible system for efficient storage and fast management of these distributed data is needed. In this proposed research project, we plan to design and implement a cloud-based data storage & […]

Persons with Peripheral Arterial Disease (PAD) and healthy individuals will be recruited for a study to identify novel blood biomarkers for the diagnosis of PAD. Participants will be matched for age and sex. They will have their Ankle Brachial Index (ABI) and pulse wave velocity (PWV) measured. They will then be asked to return to […]

In Canada’s remote and weather-challenged regions, inspecting critical infrastructure like bridges or monitoring agricultural sites such as vertical farms often involves costly, dangerous, and infrequent field visits. This project explores whether there is a commercial market for a new platform that enables engineers to perform these inspections remotely, using virtual reality (VR), autonomous drones, and […]

This project will help make it easier for scientists and data engineers to work with a powerful type of satellite data called hyperspectral imagery, which captures detailed information about the Earth’s surface. While this data can support important work in areas like climate, agriculture, and environmental monitoring, it’s often difficult to use without specialized training […]

The project focuses on creating a new software tool that combines multi-criteria decision-making (MCDM) methods with BIM, a 3D digital modeling system used in construction. This tool will assist architects, engineers, and builders in selecting materials and elements by evaluating multiple criteria, such as cost, durability, and their environmental impact. By addressing challenges like too […]

Bioinformatics is fundamental to modern medicine, driving breakthroughs in cancer, pandemics, and disease understanding, however, while demand for this field continues to grow, its workforce still does not reflect the people it serves. Fewer than 20% of bioinformaticians are women, and less than 5.7% are Black [1]. This homogeneity reflects and perpetuates systemic biases across […]

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 […]

One type of diagnostic imaging used in nuclear medicine is positron emission tomography, (PET). PET images display the function of the tissue being imaged, for example sugar metabolism, without displaying the anatomy. In hospitals, people undergoing PET imaging will also be imaged with computed tomography (CT) which displays the anatomy, and the two images are […]

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.