This project seeks to play a role in making fusion energy a reality, a big step in energy decarbonization. The project is in collaboration with General Fusion, based in British Columbia, where a fusion reactor is being designed, based on a spinning cylinder of liquid lithium which is mechanically collapsed around a plasma to produce […]

Systematic reviews are a type of research that collect and assess relevant information for a specific research question. However, they can take up to two years to complete. In situations with time constraints or limited resources, rapid reviews can provide decision-makers with evidence. Rapid reviews use modifications from systematic review processes, called trade-offs, resulting in […]

Mobile devices are essential in today’s enterprise, enabling workers to carry out their duties effectively. However, losing or having such devices stolen can be detrimental, making it important to locate them at any given time and place. The project aims to develop a simulation tool that generates location data for mobile devices in real-life scenarios, […]

The proposed research aims to find the optimal application rates of liquid chemicals which are applied to a road surface before and during a snow storm. These chemicals are used to accelerate the melting of snow and ice. The effects of various factors such as traffic, pavement temperature and other environmental factors on the performance […]

American beech is a tree species that is distributed from the southeast of the United States up to the southeast of Canada. It has significant ecological and economic importance in Canada, especially in southern and central Ontario and Quebec. The beech population is suffering from beech bark disease, which kills most of the mature individuals, […]

Epileptic patients have a long term risk of recurrent seizures and the mainstay of treatment for controlling seizures is antiepileptic drugs. Management of epileptic emergencies usually requires hospitalization and the administration of intravenous (i.v.) anticonvulsant drugs. Lorazepam i.v. is the most effective treatment of status epilepticus, and therefore is routinely used in hospital emergency departments. […]

Good water quality is essential to the lifestyle, economy, and ecosystem health of Georgian Bay (GB). Unfortunately, water quality is being degraded due to an excess of nutrients entering the water through recreational development. Excess nutrients, specifically phosphorus, can lead to agal blooms, reduced water clarity, depleted oxygen levels and aquatic dead zones where wildlife […]

Boron nitride nanotube (BNNT), a structural analog of carbon nanotube, has emerged as a key-enabling material in various fields of extreme/major science thanks to its transformative properties such as high oxidation resistance, high specific mechanical strength, piezoelectricity, and high neutron shielding capability. To harness its unique properties, it is essential to fabricate macroscopic BNNT articles […]

This project is a collaboration between Korea’s Soongsil University NDT Lab and Canada’s Waterloo University Computer Vision for Smart Structure Lab (CViSS), aiming to promote new research at each institute and build smart construction and infrastructure monitoring. NDT Lab focuses on developing non-destructive engineering technologies for concrete internal crack width, reinforcing bar diameter and internal […]

Intelligent health-conscious battery management system (BMS) and advanced battery thermal management systems (BTMS) are essential to improve performance of energy utilization, safety, and cycle-life. Improvement in the energetic performance on all these levels encourages integration and development within the full thermal installation. This project will look at Artificial Intelligence (AI)/Machine Learning (ML)-based intelligent state estimators […]

In Canada, the transportation sector accounts for 25% of all emissions. Hydrogen fueled vehicles is one option that has a great potential to reduce Canadian and global CO2 fuel emissions. This research project investigates production parameters that influence hydrogen storage capacity in storage materials in order to optimize the production process and increase the hydrogen […]

This research project aims to create an Intelligent Query and Learning System (IQLS) that can integrate knowledge from multiple sources such as documents, web pages, voices, input texts, images, and videos. The IQLS will use learning and reasoning techniques to update the knowledge structures dynamically and allow multiple users to integrate their knowledge packages and […]