Data Farms is a precision agriculture internet of things (IoT) company using sensors to monitor crops in real-time. We help farmers use resources more efficiently, saving fuel and fertilizer costs, and optimize indoor and greenhouse environments to improve crop yield. Custom alerts allow farmers to react fast when conditions change to avoid crop loss and […]

Wind tunnels are an important tool that are used for automotive performance testing. The focus of the research project is on the development of a system to be used in wind tunnels that can simulate gusts and sweeps that vehicles often experience while on the road. This is important since it can enhance vehicle testing […]

Weyerhaeuser Drayton Valley Lumber Mill has employed continuous monitoring of vibration for all the critical rotating assets in the mill to detect failures in early stage and prevent failures. Continuous monitoring is achieved through sensors mounted on the equipment and each sensor collects real-time vibration data of the equipment. Real-time vibration data give an understanding […]

This research project aims to improve epilepsy treatment by developing a robotic-based method for testing wearable seizure detection devices. The project will create a robotic system that can simulate seizures, providing realistic data to help refine and test machine learning algorithms for detecting seizures more accurately. The goal is to address the limitations of current […]

Central Banking Digital Currency (CBDC) is a digitalized version of cash. It seeks to preserve all the properties and characteristics of the monetary unit, the most famous of which are: a store of value, a medium of exchange, and a unit of account. Using machine learning techniques, the student will answer questions about how quickly […]

The research project aims to develop a portable, wireless interface for implantable medical devices that monitor brain activity in patients with conditions such as epilepsy and motor disorders. This new software will allow for continuous, unrestricted measurement of brain activity, enabling doctors to collect high-quality data in patients’ natural environments. The interface will wirelessly transmit […]

Demand Side Management is a scheme that manages production, consumption and storage of energy of an aggregation of households in a neighborhood. The automated algorithms communicate between households to ensure that grid constraints are respected and households use energy optimally to maximize the use of green energy and save money. A promising tool for these […]

Le projet vise a developper des strategies permettant de combiner plusieurs modeles d’intelligence artificielle (IA) etudies au sein de l’ecosysteme d’intelligence artificielle de l’equipe de prevision de la demande de !’unite prevision des apports et de la demande d’Hydro-Quebec. Ces modeles combines permettront d’obtenir de meilleures predictions a court terme de la charge sur le […]

Consistent plant production is critical for plant product quality and marketability. Plant quality (leafy greens, cannabis or other plants) is influenced by the plant species/cultivar and environmental conditions (temperature, relative humidity, light level, light quality, CO2 levels, water quality and quantity, nutrient levels and air movement). Understanding existing variability of the environmental conditions is critical […]

Le but de cette recherche est d’établir un protocole de contrôle pour détecter efficacement les défauts présents dans des pièces métalliques produites par une méthode appelée “fabrication additive”. Le contrôle de qualité des pièces produites est une étape cruciale avant leurs mises en service. Différentes techniques de contrôle sont disponibles ayant chacune des avantages et […]

The intern will take part in a multifaceted project surrounding sustainability in industry and clean advancements in advanced manufacturing techniques within a multitude of different sectors. The intern will perform an in-depth study on Canada’s status regarding advanced manufacturing and utilize social media platforms to relay novel information to promote interest, engagement and an entrepreneurial […]

This project will require a combination of theoretical and empirical modeling based on extensive experimentation to develop a predictable solubility model in organic acids and salts mixture systems. The successful completion of the project will allow the company to predict capability of the complex mixtures during products development. It can be used by formulators & […]