Machine learning has revolutionized a variety of fields in the past decade, due to increasing availability of data and processing power. Engineering simulations of most industrially relevant fluid flows (e.g aircraft design and turbomachinery) require modelling of turbulent fluctuations in the flow. For the turbulence modelling community, which has seen widespread stagnation, machine learning offers […]

Artificial intelligence (AI) is a promising technology for patient-centric health care, for example, to diagnose diseases, or to recommend therapies. However, deploying AI in health care is challenging. The creation of AI systems typically requires large amounts of data, but health data is kept private due to high privacy requirements. Furthermore, AI in health care […]

This research project will analyze the effects of partial shading, which photovoltaic modules are subject to. The objective of this research is to elucidate the mechanisms of degradation of partial shading. Investigations in photovoltaic systems will involve the collection and analysis of production data. Measurements of the individual I-V curve of the modules of a […]

Lithium-tellurium (Li-Te) batteries provide higher volumetric energy density than current lithium-ion batteries and are considered as one of the most promising energy storage technology for emerging applications in electric vehicles, implantable medical devices, and Internet of things. The development of stable tellurium/carbon (Te/C) cathodes is the key towards durable Li-Te batteries. However, the reaction mechanism […]

La sténose de la valve aortique est la deuxième maladie cardio-vasculaire la plus fréquente et la maladie cardiaque valvulaire la plus fréquente. Sa prévalence au sein de la population ne cesse de croître. Non traitée, cette maladie est mortelle et seule une chirurgie permet d’empêcher sa progression. Il y a un besoin urgent de progrès […]

Le développement de revêtements de faible brillance polymérisés aux UV est une tendance dans le domaine des revêtements des couvre-planchers. La brillance d’un revêtement dépend de la diffraction de la lumière, et il est essentiel d’avoir un certain degré de rugosité de surface pour obtenir un aspect mat. La technologie étudiée ici pour réduire la […]

Ethylene (C2H4) is a critical chemical feedstock for polymer production (e.g., plastics); its global production is about 150 million ton/yr. Ethylene production accounts for 51.6% of the petrochemical production in Canada, and it is mainly produced in Alberta, Ontario, and Quebec, according to the Statistics Canada. Meanwhile, the industry is dealing with a variety of […]

Characterization of mode of action of C.minitans against S.sclerotiorum and documentation of lysis, hyhal-parasitism via electron microscopy. Studying its metabolite production during tripartite interaction of plant, pathogen and biocontrol agent through FTIR and NMR. Analysis on proteomic approaches during tripartite interaction by Fluorescent Two-Dimensional Difference Gel Electrophoresis (2D-DIGE), identification of protein and data analysis through […]

Automatic segmentation and detection of cells is a fundamental task in relevant medical fields such as histopathology, hematology, and cytopathology. Deep Learning methods show promising results, but often require excessive amounts of data, which is a major barrier to entry, especially for experimental cellular imaging data. This project aims to develop a state-of-the-art cell detection […]

It is estimated that 5.4 million Canadian adults have chronic sleep abnormalities. Symptoms are not visible to patients because they happen during the night. Hence, they remain undiagnosed. Besides, sleep abnormalities can cause different chronic health problems, that is sleep apnea, diabetes, stroke, brain injury, Parkinson’s disease, depression, and Alzheimer’s disease. Thus, measuring sleep behavior […]

Lithium ion batteries are under constant attention of researchers all over the world due to their advantages such as high energy density, light weight and cycling performance. However they still struggling from some safety issues associated with potential leakage of electrolyte liquid components, their toxicity and flamability hazards. Lithium passivating layer formation and dendrite growth […]

In the proposed collaborative research, the focus will be on the application of fractal complexity analysis in anomaly detection. Many features are hidden deep within time series information such as network traffic, and complexity analysis will facilitate the extraction of such features. Complexity analysis takes advantage of the self-similar structure which is found widely in […]