Novel Methods for Creating Eco-Friendly High Performance Aerogels

We are testing a novel approach that enables us to create structures with specific sizes and shapes within aerogel using syringe pumps and 3D printers. This method enables specific internal pore structure design. This is possible because freeze-drying removes ice structures placed within the wet gel. Once the aerogel is lyophilized, it will have cavities […]

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BSI Program

The SDI Group has been a part of the Co op program for the last 14 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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Developpement d’un agent de contraste pour l’imagerie In Vivo et Ex Vivo

L’imagerie micro-CT (pour micro-Computer Tomography) est une methode d’imagerie 3D non-destructive permettant d’observer la structure interne d’un corps biologique. La methode se sert des rayons X afin d’effectuer une multitude de prises d’images en 2D qui seront traitees par ordinateur afin d’obtenir une image 3D du systeme d’interet. Cependant, la methode necessite la presence d’atomes […]

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Developing a physically-based, geomorphic model to evaluate the probability of pipeline exposure at stream crossings

There are currently tens of thousands of locations throughout North America where pipelines cross stream channels. At these locations, instability of the stream bed and banks poses a serious risk to pipeline infrastructure, and has the potential to cause environmental harm. The objective of this internship is to improve the numerical models used to monitor […]

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Automated Anomaly Detection in Energy Consumption Data using Data Mining and Machine Learning Techniques

The Ontario government recently mandated electric and natural gas utilities provide easy access to energy usage data so consumers can access energy-saving services in a competitive market. However, there has been no analysis of how well utilities have implemented Green Button. More specifically, are regulatory requirements being met, and is data accurate, complete, consistent with […]

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Artificial Intelligence for Sustainable Energy Production in Saskatchewan Province – Phase 1

A multidisciplinary study for the utilization of artificial intelligence for sustainable energy production in Saskatchewan Province is proposed. In this research, the Artificial Intelligence for Energy Team of the University of Regina will use AI technology to various sustainable energy resources, which including to empower the field of nuclear energy by optimizing the reactor design […]

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Étude comparative de la performance des modèles non-gaussien dans l’évaluation des produits dérivés

Le but ce travail est de mettre en place une platforme qui integrerait efficacement plusieurs algorithmes d’evaluation des produits derives sous differents modeles non-gaussiens. Cette platforme cherche a etre une calculatrice des prix des options integrant des modeles de pointe pou servir d’aide a la comparaison empirique des point de depart de l’etude. Cette famille, […]

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Designing New Business Models to Transform Bombardier’s Customer Services & Support Department into a Profit Centre

The main purpose of this cluster proposal is to test the hypothesis of whether the Customer Services & Support Department of Bombardier Commercial Aircraft Division can develop new business models to transform itself into a profit center within the Bombardier’s organization. To carry out this test, a thorough investigation of the after-sale needs, wants and […]

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Caractérisation sous choc de foudre d’une nouvelle méthode de mise à la terre (MALT) basées sur l’utilisation des géopolymères électriquement conducteurs développés à partir de résidus de production de l’aluminium.

Depuis maintenant plus trois (3) ans, un projet a été initié par Rio Tinto et l’UQAC dans le but de réduire les résidus issus de la production de l’aluminium sachant que leur entreposage est de plus en plus problématique. Une des solutions proposées est d’utiliser ces différents résidus pour développer des géopolymères électriquement conducteurs (GEC). […]

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Innovation dans l’entraînement sportif: optimisation de l’interface d’un simulateur de boxe en réalité virtuelle

Ce projet de recherche a pour but d’améliorer un simulateur de boxe en réalité virtuelle afin d’aider les athlètes de boxe canadiens à s’entraîner de manière plus performante tout en réduisant les risques de blessures, telles que les commotions cérébrales. Le stagiaire sera responsable de l’évaluation de l’interface utilisateur du simulateur, en établissant une étude […]

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Lead Scoring in using Artificial Intelligence and Network Ranking Methods

This research project works to improve the industry partner’s customer engagement prediction by using advanced analytics. The project focuses on understanding which contacts are most likely to engage with a customer’s marketing campaign, such as opening emails, clicking links, or making transactions. By analyzing a large amount of data, the research team will develop models […]

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