This project aims to explore the obstacles and barriers that rowing clubs in British Columbia face when adopting electric outboard motors for their boats. This research will involve interviews with club managers, directors, coaches, and/or athletes to understand why and how they decide to adopt these electric motors, as well as what supports they would […]

Machine learning (ML) has become an indispensable tool in the mining industry, significantly enhancing operational efficiency, ensuring safety, and optimizing resource management. Its ability to process and analyze large datasets is pivotal in facilitating informed decision-making and reducing operational costs. This project leverages data analytics to augment mining operations planning, with two primary objectives: 1. […]

La recherche est une contribution directe à un vaste projet de requalification de l’église Saint-Édouard à Port-Alfred (Saguenay). Les résultats produits par les étudiants serviront à développer une offre d’interprétation historique et patrimoniale du noyau institutionnel de Port-Alfred. Une partie du travail sera de débusquer, regrouper et analyser les contenus historiques (documents, photos, vidéos, etc.) […]

Pancreatic cancer is one of the most aggressive cancers with a very poor survival upon detection. Pancreatic ducts are channels responsible for secreting pancreatic juices into the small intestines to aid in digestion. Pancreatic duct cancers account for up to 80% of the total pancreatic cancers, and current treatment are not efficacious to control the […]

In this research project, we would like to improve game testing using Reinforcement Learning (RL). By using RL, we can create intelligent agents that can play games independently and give us valuable feedback on the game’s quality. This will make game testing more effective and efficient. We also plan to explore a new approach called […]

Current global consumption patterns are creating a significant pressure on the biodiversity of the planet, challenging the business as usual linear model of production which extracts virgin resources and disposes of waste indiscriminately. Despite the large sum of waste produced, only a portion of those are recycled or reused as valuable resource for future production […]

Dans la perspective de préserver les ressources naturelles non renouvelables et de contribuer concrètement à un développement durable, l’entreprise Bauval travaille assidument à la valorisation de résidus industriels, les scories d’aciérie, comme source de granulat dans la production d’enrobés spéciaux ultra-performants. Quatre (4) enrobés à chaud spéciaux de hautes technologies incorporant des scories sont actuellement […]

The structural integrity of mine tunnels is critical to worker safety as failures (e.g. rock falls) can cause injury or death. This project aims to determine whether it is feasible to automatically evaluate the safety of side walls in potash mines using the sound produced when the wall is struck by a metal bar. Previous […]

Ecosystem restoration initiatives are considered among the most effective strategies in mitigating the effects of habitat destruction and biodiversity loss from human activities. The ecological restoration company Veritree is currently building an infrastructure of monitoring data streams for their projects to ensure that they are realizing their anticipated benefits. In this research project we will […]

Based on the evaluation of modelled soil vapour concentrations it is common for soil contaminants of concern (i.e., volatile contaminants) to pose a potential health risk to receptors via the soil-to-indoor air vapour migration pathway. However, it is understood that the approach used to model vapour concentrations in indoor air, though acceptable to the Ontario […]

This project is an R&D project intended to solve the problem relating to a piece of machinery, a retail kiosk for distribution of age-restricted beverages, that has overall reliability issues due to a compounding of sub-optimally performing devices and subsystems exacerbated by competing timeouts; and unpredictability of human users.

MOTTIV Technologies and the University of Alberta team will create an “AI coach” which is a language based chatbot that will communicate to athletes, who use the MOTTIV app, with a defined vocabulary at the back-end effective for a coach-athlete relationship and training. The goal is to make the “Coach MO” chatbot proactive, engaging, motivating […]