Concussions are a frequently occurring injury with diverse clinical manifestations and an often-challenging recovery. Oculomotor deficits are commonly occurring in persons with concussion, both as an early symptoms and impairment long after the injury. Early assessment and rehabilitation of oculomotor deficits resulting from concussion have the potential to expedite recovery and improve affected individuals’ functioning. […]

Malgré les normes les plus strictes, la viande de volailles se retrouve en tête de liste comme source d’exposition des consommateurs à des bactéries pathogènes zoonotiques responsables de toxi-infections alimentaires au Canada, où chaque année plus de 4 millions de cas d’infection sont déclarés aux autorités de santé publique. Clostridium perfringens entérotoxinogène figure parmi les […]

This four-year research project aims to develop a strategic and operational implementation plan for an intelligent approach to integrate safety management processes of production systems in factories. Such safety protocol management is needed for e.g. equipment maintenance operations in manufacturing plants. The involved graduate students will develop novel safety management strategies using Artificial Intelligence, based […]

Current condo reserve fund studies use a lot of subjective judgment, many unrealistic assumptions, and a biased analysis horizon. As a result, many condo corporations have found their reserve fund inadequate to addressing the maintenance, repair and replacement needs of the common elements of the condo buildings they manage. The research project aims to change […]

Submerged Aquatic Vegetation (SAV) are important in aquatic ecosystems as they represent hotspots of biodiversity and ecosystem functioning. Earth observation technologies (EOT) constitute a cost-effective monitoring tool for environmental variables at large scales but their use in freshwater environmental monitoring remains limited because of the optical complexity of inland waters. This research develops and builds […]

Inuit communities are reliant on sea ice travel to hunt and fish to get nutritious food and maintain their culture. Search and Rescue incidents are on the rise with changing sea ice conditions due to climate change. Information to support Inuit travel needs at community scales are currently limited in Inuit Nunangat (Simonee et al., […]

The management of musculoskeletal diseases is essential for reducing pain and disability, preventing disease progression, maintaining independence, and promoting mental well-being. By effectively managing these conditions and facilitating individualized therapy approaches, society as a whole will benefit from reduced healthcare costs and improved economic productivity. Early detection and proactive care are vital for the management […]

This project will be conducted in collaboration with Island Nature Trust (INT) to develop a user-friendly digital platform for volunteers in their Coastal Guardian and Conservation Guardian Programs. Currently, the organization faces an innovation challenge in coordinating and supporting a geographically dispersed network of volunteers, many of whom have limited technical experience. Also, existing processes […]

This project will help a structural engineering firm reduce unwanted cracking in newly cast concrete floor slabs. The intern will test several concrete mixes that are commonly used by the partner, including one that has cracked in real buildings and others that have performed well. In the laboratory, the intern will measure how much each […]

This project develops an AI-powered clinical scribe designed specifically for mental-health therapists. Many therapists spend excessive time on documentation, often losing 5–10 hours per week to paperwork. Existing medical transcription tools are not built for psychotherapy and fail to meet privacy or workflow needs. Our project will create and test a privacy-first, therapist-friendly prototype that […]

NeviSight is an AI-powered platform that transforms retinal imaging into faster, more accurate, and more accessible eye disease detection. Designed as a decision-support tool, it aims to integrate seamlessly with existing fundus cameras and clinical workflows, providing clinicians with real-time lesion segmentation and risk insights. Our completed prototype combines a proprietary hybrid AI model with […]

This project focuses on developing and evaluating automated methods for analyzing complex no-code automation workflows used in enterprise environments. Platforms such as Workfront Fusion and Make.com allow organizations to build powerful automations quickly, but as these workflows grow in size and importance they often become difficult to understand, maintain, and safely modify. Changes are frequently […]