Artificial intelligence (AI) has emerged as an effective tool for resolving real-world problems and has applications in various fields, such as natural language processing, signal processing, and computer vision. The primary purpose of using AI in computer vision is to automatically and robustly convert image or video data into actionable information. This project is looking […]

Atomic Force Microscopy (AFM) is one of the most widely used imaging tools by the researchers and industries to view and characterize tiny objects. This tool uses a very tiny and sharp probe to scan or feel the surface of the specimens and then it produces a topography image of the scanned surfaces. This research […]

This project aims to solve a primary problem of 5G/B5G Networks, namely the Service Function Chain (SFC) provisioning problem. This project will improve the solutions for this problem in two aspects. First, the SFC architectures considered in this project are futuristic/generalized ones that do not appear in existing systems. These architectures reduce the processing time […]

The development of a cheap, environmentally sustainable, protein-rich animal feed is of key interest to the growing livestock and aquaculture sectors. Cvictus is in the process of commercializing an integrated low-carbon footprint production platform that can convert coal to methanol, which can then be used to grow a single-cell protein (SCP) animal feed that would […]

Livestock monitoring is a topic of great interest for livestock farming since it would help identify the most appropriate feed cycle, improve and predict animal health, thus reducing investment cost, and providing other important knowledge to improve the breeding process. This research project proposes the development of a non-invasive monitoring system for livestock using video […]

This project will look into the tools available to implement machine learning in production and find the best ones to use in a small business environment. The goal is to find a set of tools that can be used by developers with little or no experience with machine learning that is still performant enough to […]

A common condition that contributes to Chronic Obstructive Pulmonary Disease (COPD) is emphysema, which involves damage to the walls of air sacs in the lung. There are very limited safe and non-invasive options available, therefore IKOMED Technologies Inc. has been developing an application using radiofrequency wave technology that has shown the potential to non-surgically improve […]

Depuis quelques années, la nécessité d’avoir des plans numériques afin de gérer efficacement les espaces est devenue un enjeu de taille. La modélisation des données du bâtiment (Building Information Modeling ou BIM) permet non seulement d’obtenir des plans 3D de grande précision, mais aussi des données supplémentaires liées au bâtiment telles que l’évolution de l’espace […]

Une hausse de la fréquence des inondations dû aux réchauffements climatiques est anticipée au Québec et des impacts psychologiques sont à prévoir, notamment chez les femmes enceintes. Subir une catastrophe naturelle durant la grossesse est un stress qui laisse ses traces jusque dans le développement de l’enfant à naître, notamment en augmentant le risque de […]

Cyanobacteria are the Earth’s oldest photoautotrophs and responsible for today’s oxygen level. However, when they overgrow and form a bloom, they cause ecological degradation and sometimes become life threatening because of the cyanotoxins they produce. This phenomenon is linked to high concentrations of nutrients, elevated water temperature and low water movement. Recent observations showed some […]

The 2015 Paris Agreement is clear: significant climate change action will require innovation and a number of different responses, touching on finance, technology, and capacity-building. This will likely include the deployment of new tools, ranging from new models in education and the support of knowledge transfer to novel financing and policy frameworks. As we approach […]