L2M – Shearwave Labs

This project explores new ways to make medical imaging faster, more accessible, and more efficient in emergency and critical care settings. It aims to address the broader challenge of improving how clinicians can quickly obtain vital diagnostic information when every minute matters. The work combines insights from advanced imaging, computational modeling, and healthcare innovation to […]

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L2M – Portable Ultrasound AI for On-Farm Beef Carcass Grading

We’re developing a user-friendly, portable ultrasound system with built-in artificial intelligence to measure important beef carcass qualities like marbling, backfat, and ribeye area directly on the farm, in real time. This system includes a handheld scanner that connects to a small device. The device instantly analyzes the ultrasound images and shows straightforward results on a […]

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L2M – SmartMed: AI-Powered Platform for Alzheimer’s Medication Management

Medication non-adherence is a major challenge in Alzheimer’s care. Fewer than half of patients take their medications as prescribed, leading to faster disease progression, preventable hospitalizations, and significant emotional and financial strain for families and caregivers. Traditional pillboxes and reminder apps have not solved this issue — they are not designed for people living with […]

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L2M-User-preference based indoor path planning

While outdoor navigation systems like Google Maps have become highly advanced, finding efficient paths indoors such as inside hospitals, airports, or shopping malls remains a major challenge. Most existing indoor navigation tools are static, meaning they cannot adapt to real-time changes such as crowded areas or accessibility barriers. They also rarely account for the diverse […]

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Integrated Resource and Energy Recovery System from Organic Slurries.

This is the first time that leading edge technologies are being put together: a microwave (MW) treatment process, a struvite crystallizer and an anaerobic digester, as a total manure treatment system for typical dairy farm operations. The new 915 MHz microwave unit will provide efficient nutrient solubilization and the resulting solution is suitable for generating […]

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Medium-scale stack testing to advance redox flow battery innovation

Researchers at the University of Waterloo are partnering with VanadiumCorp, Administration Gilles R. Dupuis Inc, and NanoNife to evaluate the performance of a redox flow battery stack prototype (9 cells, 9 × 500 cm²) developed by Administration Gilles R. Dupuis Inc and NanoNife. VanadiumCorp will supply the vanadium-based electrolyte, which will undergo conductivity optimization prior […]

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High performance engineered biocomposites for automotive sector

The proposed project seeks to develop biocomposite technology and products for the auto manufacturing industries. Five graduate students under the supervision of Dr.Mohini Sain, will work on manufacturing processes, mechanical characterization, composite rheology and development of molds for various types of bio-composites which have direct application in auto-industries and can act as substitute for fossil […]

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Implémentation d’un pipeline TALN pour la structuration de textes cliniques par concepts médicaux normalisés (UMLS, SNOMED-CT-CA)

Le projet vise à développer une infrastructure capable d’exploiter les informations cliniques contenues dans les dossiers médicaux électroniques. Une grande partie des données médicales du Québec est consignée dans ces dossiers, mais les textes n’ont pas de structure précise et restent difficiles à exploiter automatiquement. Cette complexité peut ralentir la prise de décision médicale et […]

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L2M – MeasleScan Field Effect Transistor

MeasleScan FET is a portable biosensor that uses field-effect transistor (FET) technology to detect measles virus rapidly at the point of care. Unlike current tests such as PCR and ELISA, which are accurate but slow, costly, and lab-dependent, this device delivers real-time, label-free detection directly from clinical samples. The goal is to provide a low-cost, […]

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L2M – Silver Vantage Software – Fall Detection

This project will validate the market and technical feasibility of Silver Vantage Software’s privacy-preserving thermal fall-detection system for senior care. The system uses small thermal sensors to detect falls automatically without recording identifiable images, protecting resident privacy while improving response times. Through this project, we will engage healthcare partners and facility operators to confirm product […]

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Enzymatic hydrolysis of wheat straw derived xylo-oligomers stream into monomeric sugars

The proposed research project is around re conducting feasibility studies on the purification and conditioning of industrial hemicellulosic C5 sugars from a number of potentially commercial wheat straw liquor fractions. The research will propose experiments where data for the ultimate evaluation of enzymatic hydrolysis vs. a selected comparative list of acid hydrolysis can be included. […]

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Development of an Actigraph System for Sleep-Wake Identification

The main obj ective of this project is to design a proper algoritlun for analyzing COPD patient’s sleep data as an important feature in patients treatment procedure. The data would be gathered by a novel wrist wearable actigraph with high accuracy technology. The wearable wristactigraph will allow more reliable data collection because the subjects can […]

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