Chemical property predictions using quantum machine learning (QML) lie at the intersection of machine learning, quantum computing, and computational chemistry. QML models often use parameterized quantum circuits (PQCs) that abstract gate-level quantum operations but offer limited flexibility in adjustable parameters. To enhance QML model performance and generalizability, incorporating pulse-level operations, which lie below gate-level in […]

The main aim of the project is to develop the characteristics of a Prosumer, i.e. a consumer that interacts on-line with a company providing useful and insightful comments on its products. Data from consumer interaction databases are will be analyzed using the tools of data mining in order to accomplish the goals of the project..

Finding reliable sources of the metals needed for the energy transition is one of the biggest challenges in the minerals sector. This research project focuses on identifying critical metals such as indium, gallium, and germanium in zinc deposits in the Grenville Province (Ontario). These metals, often present as trace elements in sphalerite (zinc ore), are […]

Weather is a significant driver of daily natural gas and electricity price moves in various North American markets. Weather drives retail energy consumption, which in turn drives market prices through a supply and demand process. The combined volume and price uncertainty is one of the main financial risks for an energy retailer like Direct Energy […]

Biobased products, mostly derived from plant biomass, have the potential to improve the sustainability of Canada’s natural resources and environmental quality while competing economically. Plant biomass, composed primarily of cell walls and modification of cell wall properties has the potential to improve biomass conversion to biobased products such as biofuels. Progress towards achieving this goal […]

Osteoarthritis (OA) is a degenerative joint disease causing pain and disability affecting weight-bearing joints. Unlike knee and hip OA, ankle OA is linked to trauma and remains under-researched despite its impact on mobility and quality of life. Joint kinematics play a key role in OA progression, as altered movement patterns accelerate cartilage degeneration by changing […]

The project leverages artificial intelligence to automate the stenosis and plaque detection for cardiologist and radiologist users in their diagnoses of coronary artery diseases. This will greatly facilitate their workflow in busy clinical settings. By reducing the time required for analyzing each patient case, healthcare professionals can focus more on patient care. Automation can also […]

This project focuses on synthesizing a new class of conjugated polymers incorporating stable, quinoidal units that enhance electronic properties, targeting applications in organic field-effect transistors (OFETs), organic solar cells, and organic electrochemical transistors (OECTs). By designing polymers that feature reduced bond-length alternation, these materials exhibit lower band gaps and high charge carrier mobilities, essential for […]

The proposed research focuses on improving wildfire evacuation planning by creating a real-time, AI-driven route optimization system. Using advanced geospatial tools like ArcGIS, the project will analyze GPS, traffic, weather, and wildfire data to identify safe, efficient evacuation routes. It will also incorporate evacuee behavior, such as common stops at essential services, to ensure routes […]

Polylactic acid (PLA) is a biocompatible material widely used in 3D printing. However, its application in bone tissue engineering is limited due to slow degradation and inadequate mechanical strength. To address this, we propose a conductive, biodegradable scaffold incorporating calcium carbonate (CaCO3) to improve mechanical properties. Conductive elements, such as carbon-based materials, are added to […]

The project will consist of conducting a feasibility study and a preliminary design on the application of heat pumps for heavy industry to achieve decarbonization and economic objectives. Heat pumps can play a significant role in helping heavy industries achieve decarbonization by efficiently capturing and utilizing low-temperature waste heat, upgrading it to higher temperatures, and […]

The Golden Langur (Trachypithecus geei), a unique and venerated primate species endemic to the Eastern Himalayas, particularly Bhutan, confronts persistent challenges as a result of interactions with human populations (Thinley et al., 2019). Bhutan, well-known for its dedication to environmental preservation, presents a distinctive arena to explore the tolerance levels of local communities towards the […]