The intern will be working with Project Watershed to understand the use of the three sites along the Courtenay River by juvenile salmonids, and whether one site appears to be better used by the juvenile salmonids or not. This work will help inform the partner organization whether their previous salmon habitat restoration activities along the […]

The transport sector is the second highest source of greenhouse gas (GHG) emissions in Canada. The prevalence of car use in passenger transport, also referred to as “automobility”, is a key driver of GHG emissions and other societal issues. Transport innovations can reduce emissions – for example, plug-in electric vehicles (PEVs) are an essential component […]

This project aims to identify the effects of human activities, particularly logging and mineral exploration, on mammals that live in the Tsay Keh Dene (TKD) Nation Territory. We plan to use a method called environmental DNA (eDNA), which involves detecting genetic material from animals in the environment, to understand how much logging and at what […]

The public greatly depends on a country’s health care providers to be sufficiently healthy to deliver care themselves. When the wellness of health-care workers suffers, then the health of the public at large is put in jeopardy. This project represents a ground-breaking collaboration between the Canadian Medical Association (CMA) who created a comprehensive mental health […]

Lithium-ion batteries have become a crucial tool in countering global fossil fuel reliance; when paired with electric motors, they provide an alternative to petroleum-based energy storage for internal combustion engines. The cathode (the positive electrode) in a lithium-ion battery is typically made up of lithiated transition metal oxides, each of which presents a unique set […]

Critical river habitats are being affected by climate change, and so are the species that need them for survival. These habitats are called thermal refuges, or cold-water patches, and they protect aquatic species from thermal stress and mortality. Some of these species include Atlantic salmon and Atlantic sturgeon, and are found on the Restigouche River […]

Excessive use of antimicrobials results in the evolution of antimicrobial resistant microbes, and the infection caused by such microbes are known as antimicrobial resistant (AMR) infections. AMR infections are on the rise and has a negative impact on the quality of life, healthcare system and ultimately on the economy. The current proposal aims at the […]

AltaML is an innovative company capitalizing on a major technological trend: artificial intelligence (AI) technologies, enabled by big data, are driving a fourth industrial revolution. AI will transform all industries, but traditional industries face challenges in implementing AI. AltaML has a unique business model to overcome barriers to adoption of AI solutions by industry, which […]

Transformer neural network models have achieved state of the art results in many areas of machine learning, including natural language processing (e.g. BERT, GPT-3) and computer vision (e.g. ViT, SAM). However, to achieve these results currently requires extremely large training datasets which are not available in every domain. One such domain is medical imaging, in […]

In this project we will study distribution problems arising when time-sensitive information needs to be collected and handled appropriately. These problems arise as a business need of our partner organization to support the decision systems of several customers that require fast and reliable optimization methods to design distribution plans under tight time considerations. Either the […]

L’objectif principal du projet est de mettre en évidence le lien entre l’absorption linéaire d’un matériau, qui varie avec la longueur d’onde, et l’efficacité d’ablation laser (volume/énergie) de ce dernier. L’étude proposée consistera à usiner divers matériaux, dont les spectres d’absorption ont été préalablement caractérisés lors de projet antérieur, à l’aide de diverses sources laser […]

Deep neural networks (DNNs) are increasingly employed in vision-based systems, extending well beyond self-driving vehicles. With the rise of the Internet of Things (IoT) and distributed vision sensing, vision-based systems have found diverse applications across various domains. These include detecting hazards on work sites and anomalies in critical infrastructure, utilizing, for example, video and image […]