Integrating Artificial Intelligence and Solar Energy in HVAC Systems for Sustainable Building Climate Control.

This research project aims to revolutionize heating and cooling systems in buildings by combining Artificial Intelligence (AI) and solar energy. By developing smart algorithms, the HVAC system will adapt to changes in the environment and occupancy patterns, ensuring optimal energy use and reducing environmental impact. The intern will design simulations to evaluate performance, compare results […]

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Numerical modelling of enhanced superplastic forming of titanium alloy aerospace parts

Titanium alloys are used to manufacture aerospace components that require high strength at high operating temperatures such as fan blades, heat shields and jet engine exhaust cones. Parts that have complex geometries are commonly formed at high temperature (around 900°C) so as to achieve maximum ductility during the forming process. By applying a small oscillating […]

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Songbird community response to oil and gas development activities in Alberta

This project aims to understand the impact of energy development activities on birdlife and support effective conservation measures. Alberta’s boreal forest plays a crucial role, serving as both a unique ecosystem for millions of breeding birds and a key resource for the oil and gas industry. By analyzing a decade of bird banding data, the […]

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Formes pharmaceutiques solides gastro-résistantes de la Catalase

Inflammation is an undesirable effect that can be caused by the high level of hydrogen peroxide (H2O2), an oxidant molecule. This inflammation is found mostly in small and large intestines area. Catalase, is a protein (antioxidant agent). It is able to decompose large quantities of H2O2 into water and oxygen and thus, eliminating this harmful […]

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Development of Autonomy for Log-loading Machines in Canadian Mill Yards

The timber-harvesting and processing industries anticipate that the use of robotics and AI technologies will increase productivity, safety and job satisfaction of machine operators to help address the shrinking labor force. We have engaged with our partner, FPInnovations, on research to increase the autonomy of log-loading machines with the goal to demonstrate the technology on […]

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Metabolomic profile of pulmonary neuroendocrine neoplasms

This research project aims to develop an innovative blood test for earlier detection of an important subtype of lung tumors, known as neuroendocrine neoplasms (NENs). Unfortunately, these tumors are too often diagnosed late and are difficult to treat. Our approach is to exploit a specific characteristic of neoplasms: tumor cells adapt the way they generate […]

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Enhanced Wireless Power Transfer via Multisource Thermophotovoltaic Systems

The objective of this research project is to design, fabricate and test a prototype wireless power transmission system that uses a thermophotovoltaic (TPV) system to receive the power beam. By using a TPV system as the receiver (instead of a photovoltaic cell) the electromagnetic radiation can have almost any wavelength. This opens a broad range […]

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Enhancing Heat Treatment Processes through Machine Learning

This research project aims to develop a comprehensive predictive framework for heat treatment furnaces to enhance operational efficiency, product quality, and environmental sustainability. The project focuses on creating a data preprocessing pipeline tailored for big machinery sensor data, innovative AI-enabled anomaly detection models, real-time furnace operation analysis, and quality prediction models. Key objectives include obtaining […]

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Improved Synthesis of [18F]-4-Fluorohomoleucine (FHL) for Imaging of Multiple Myeloma

Positron emission tomography (PET) imaging is an imaging technique used for the early detection of tumors and metastases, and plays an important role in diagnosis, staging, and treatment planning. PET imaging relies on radiotracers (molecules with a radioisotope attached) that selectively accumulate in tumors and can be detected by a PET scanner. Thus, the discovery […]

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