Au Canada, les études explorant la relation entre la vigne et son microbiome sont encore peu nombreuses, surtout sur les cépages hybrides cultivés dans l’Est du Canada. Ces cépages, issus de croisements entre l’espèce Vitis vinifera et des espèces Vitis indigènes à l’Amérique du Nord (V. labrusca, V. riparia), ont une biochimie particulière, qui leur […]

In order to reach the production targets, mining operations typically need to operate without a stop. Equipment maintenance planning plays an important role in ensuring the required number of mining haul trucks are available at any given time. If not planned correctly, corrective maintenance would be required, which could slow down or halt the production […]

This project entails the design, synthesis, and characterization of porous surface coatings made from metal–organic frameworks for magnetic nanoparticles. The combination of these two materials will allow for the removal of organic contaminants that currently interfere with the correct functioning of DNA and RNA extraction test kits (e.g., COVID-19 test kits). As developers and producers […]

Roads and traffic subdivide wildlife habitats and increase the mortality of wild animals that try to cross due to collisions with vehicles. Wildlife crossing structures are costly, but an alternative may exist in structures that are already present under roads such as water culverts. It is unknown how often wildlife use such structures in the […]

Due to some complex technical problems, both power plant’s generators and local grid transmission lines do not have the potential to generate and transmit enough electricity to cover and meet all load demand during peak hours. Based on this technical difficulty, there is no solution for customers to use costly energy during peak hours and […]

Multi-stream execution is a technique in GPUs that allows multiple operations/kernels from the same program to effectively use GPUs without explicitly stating the affinity of threads to the cores. Several recent optimizations in Machine Learning (ML) algorithms leverage multi-stream execution. While performance modeling of ML applications is well studied under single-stream execution, performance models of […]

The constrained vehicle routing problem is a typical optimization problem with many real-life applications, such as last-mile route planning for delivery services. The goal is to find the optimal routes for a set of vehicles to deliver all the packages, such that the time and cost of delivery is minimized, sometimes with additional constraints such […]

The intern will first determine which one of the two modules in the Ubiquity product is more likely to be improved using the machine learning and deep learning methods, and then implement the proposed method or research on other methods. To improve the sensitivity of the pricing and promotion module towards the small price changes, […]

Throughout the COVID-19 pandemic, there has been an emerging need of using new advances in information and communication technologies (ICT) to improve our healthcare system to manage a massive influx of patients. Indoor geolocation techniques and optimized traffic management algorithms are substantial for serving a large number of patients in healthcare centers while respecting procedures […]

Organizations across various industries struggle to deliver personalized offerings and expanded access for target populations. Developing sub-population profiles will help identify priority sub-populations with the greatest potential to benefit from personalized support and intervention, and inform the development, targeting and delivery of personalized offerings. The objective of this research project is to enhance Deloitte’s Market […]

Traditional 3D reverse-engineering and prototyping involves 3D modeling and manual parts recognition. With the advent of 3D scanning technologies, it becomes possible to automate this workflow. This research internship aims at creating a novel mechanism to automate the process of assembly recognition, as part of a new workflow of 3D interactive prototyping. The research will […]

Operating a fleet of autonomous robots introduces challenges such as reduced safety for humans working around the robots, reliability of intern communication of the robots, coordination behaviour of the robots, etc. At Fourien we have developed autonomous robots which work very well as stand alone units but there is a need of development of a […]