Occupational Health and Safety

The SDI Group has been a part of the Co op program for the last 13 years. We have supported many students in providing a well rounded experience and mentorship as part of their education. A student being able to be in the field and working directly with the health and safety organization, complements their […]

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Développement de nouvelles molécules bioactives et d’acides aminés biosourcés par dérivatisation de triterpènes naturels

Les végétaux demeurent de nos jours une source incontournable de molécules bioactives pour le développement d’agents thérapeutiques novateurs. Par contre, l’étude et l’utilisation des molécules d’origine végétale sont souvent limitées par leur manque de solubilité dans l’eau et leur faible biodisponibilité. Pour surmonter ces limitations, l’ajout de groupements polaires sur les molécules appelé dérivatisation est […]

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Characterization of cell migration in response to benvitimod and its stabilized derivative INPS1001

Skin diseases such as psoriasis and eczema are common and cause discomfort in skin lesions. Psoriasis is a chronic disease with cycles of unknown triggers. Currently treatments for psoriasis are very limited. A special bacterium-produced compound called benvitimod has demonstrated effects on treating both psoriasis and eczema by suppressing inflammation and promoting cell migration. However, […]

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Parallel Operation of Grid-Forming Inverter Systems Considering DC-Side Dynamics

Renewable energy resources such as wind and solar power are often tied to the grid using dc-ac power-electronic converters. Unlike large power plants, these sources of energy have a dispersed nature, i.e., they are comprised on many small units that are operated in parallel to form a large power plant. This project deals with investigating […]

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Validation of a Clinical Recommendation System

The development of a clinical decision support system is at the nexus of using data analytic techniques to inform and support dentists in the clinical practice. The purpose of this project is to develop conduct an innovation study to validate the analytic algorithms developed by OraQ for the purposes of facilitating clinical diagnosis. OraQ has […]

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Analyzing gamma-ray spectra and mapping them to corresponding isotopes

This research project aims to program a hand-held spectrometer to identify and analyze gamma radiation peaks emitted from isotopes. Based on the detected peaks, the device will identify the specific isotope from the gamma ray that was emitted. The partner organization will be able to commercialize such a device to be used in different areas […]

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Develop an AI-powered and reagent-free optical sensor to continuously monitor nitrogen in agricultural watersheds

The project will develop and validate a reagent-free UV-Vis absorption-based sensor for the direct, real-time quantification of nitrogen in agricultural watersheds. AUG’s machine learning-based multiple regression models will also be developed to process the real-time UV-Vis absorption spectral data and enhance sensor performance suitable for continuous field operation. This project will lead to an innovative […]

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Development of Mass Spectrometry Methods for Global Tissue Metabolome Analysis

Metabolomics is a rapidly growing field involved in detecting and characterizing all the metabolites present in a biological system such as blood, urine, cells and tissues. Metabolomics has been increasingly used in many different areas of applications, including the discovery of metabolite biomarkers for early diagnosis or prognosis of diseases, holistic study of biological systems […]

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Implementation of the online Language Use Inventory (LUI) for developmental surveillance of children’s early language development by family physicians.

In Canada. guidelines call for the identification of language impairment in children before 3 years of age to enable early intervention. A family doctor is often the first person with whom a family raises such a concern. The proposed research uses the Language Use Inventory (LUI), an empirically-validated standardized 20 minute questionnaire assessing 2- and […]

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Spike sleep state deep learning classifier

Epilepsy is a difficult disorder to assess and even more so automatically. It is observed that in REM sleep epileptiform activity differs from other states of consciousness. REM sleep could hold the key to a better understanding of epilepsy, however robust features that work on different people and types of epilepsies are required. The purpose […]

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Finite element modelling for the assessment of dented pipelines

Pipelines are extensively used across Canada and worldwide as a safe, reliable, and environmentally friendly way of transporting oil and gas. The pipelines traversing different ground conditions are sometimes subjected to minor mechanical damages from external interference. A dent is a type of mechanical damage resulting in a plastic deformation of the pipe wall. The […]

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