“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

This project aims to develop a large, labelled dataset of normal canine behaviour for use in developing machine learning algorithms to detect abnormal animal physiological behaviour. These machine learning algorithms will enable veterinarians to collect high-quality data of their patients in their natural environments. This innovative solution has the potential to improve the quality of […]

Perform an exploratory research to investigate the potential to extract knowledge by aggregating historical data across the company’s clients and applying machine learning techniques on them. The goal is to device prediction models that can forecast the condition of certain events(such as life of pipelines) using statistical analysis. Riva Modeling( partner organization) will benefit from […]

Developmental trauma is often defined as experiencing family violence and/or caregiver disruption early in life. People who experienced developmental trauma have worse health and mental health outcomes throughout their life. The focus of this research will be on developing and evaluating mental health supports for youth and families impacted by developmental trauma. There are two […]

This project is designed to look at the effects, and potential impacts of various forest harvest treatments on wildlife use, with a focus on moose, within the McLeod Lake Indian Band Traditional Territory, located north of Prince George, BC. This project will examine wildlife species and their use of the various treatments, plant abundance, diversity […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

The proposed research will review and evaluate the renewable energy options available for both energy production and carbon dioxide mitigation in the Columbia Valley and how to implement the preferred solution at the community level. The research aims to review relevant academic literature and Canadian case studies, consult with local stakeholders, provide quantitative analysis (e.g., […]

Addictive Mobility is a leading online advertising company in Canada. The success of ad campaigns drives the majority of the company revenue. Exploring advanced machine-learning techniques to efficiently control an ad’s performance is crucial to the company strategy. The objective of the proposed project is to optimize the real-time bidding system in the sense that […]

Les espèces végétales exotiques envahissantes (EVEE) ont été identifiées comme étant une menace majeure à la biodiversité du mont Saint-Bruno, une colline montérégienne abritant des milieux naturels d’importance pour la communauté métropolitaine de Montréal. Depuis 2019, la Sépaq, gestionnaire du parc national du Mont-Saint-Bruno qui protège la moitié de ces milieux naturels, a initié des […]

Based on a thorough literature review in the related research areas, the student will create a 3D COMSOL model to simulate the SCR system for the partner organization. The simulation will be combined with experimental testing on the SCR system, with the goal of optimizing the low exhaust temperature operations of the SCR reactor specifically […]

Our project addresses a critical issue within the realm of substance use: the pervasive stigma that extends across the entire spectrum of use. By expanding our focus beyond the severe range, which is often the primary focus in research and policy, we aim to identify and understand the stigmatizing language and experiences faced by individuals […]

A lot of industries rely on solving complex mathematical problems to improve their processes and design their products. Non-linear differential equations are often essential for making advancements. However, solving these equations with traditional computers is extremely challenging and resource intensive. Current computing methods struggle with these complex equations, leading to high energy use, long development […]