Advanced aerial drones have extensive applications in industry, e.g., water resources management, warehouse operations, search & rescue, and geographic mapping. Current drone body frames mainly use low-temperature polymers with limited thermal and structural performance. In this project, high-temperature high-performance polymers and continuous carbon fiber composites will be used for 3D printing drone body frames. It […]

Develop a strategic plan for the development of a manufacturing facility.

During the internship, the intern will focus on three primary objectives related to the commercialization of sustainable solutions for the fashion industry: Conducting a comprehensive business market analysis on retail/consumer goods industry standards for demand forecasting. Extracting, cleaning, categorizing, and analyzing historical sales data to drive insights into consumer purchasing behavior and seasonality. Assisting the […]

Sustainable aviation fuel (SAF) is a description increasingly used to refer to aviation turbine fuel (jet fuel) that is produced from renewable and sustainable resources. The use of SAF for commercial air transport holds the promise of reducing the fossil fuel footprint of this industry. However, in North America it is at present not legal […]

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 […]