Using geographic information systems (GIS) software and existing radiometric thermal orthomosaics, automate the process of identifiying and locating areas of cold water refugia in salmon-bearing streams and rivers in BC.

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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. […]

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 […]

As part of the Lab2Market program, this project explores the commercialization potential of the group’s previous research pertaining to the use of computer vision, artificial intelligence and machine learning to precisely detect and identify seeds. Over the 4-month duration of the project, the team will participate in Lab2Market workshops, panels, and lectures from successful founders […]

This project will develop a real-time Artificial Intelligence based system that accurately estimates 3D skeletal pose from monocular video of dogs and reliably classifies fundamental behaviors to support veterinary health monitoring and behavioral assessment applications. Recent research has demonstrated significant progress in automated animal behavior recognition. The intersection of computer vision, animal behavior analysis, and […]