3D Printing Affordable Housing for Remote Communities in Canada

Rural homelessness in Canada is still an ongoing problem that the country is trying to address. Most of Canada’s indigenous families in remote communities are living in substandard housing that needs major repairs. 3D printing of cementitious material to digitally construct building structures has already gained considerable attention from both the public and private sectors. […]

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Programmable Forwarding Plane

In recent years, the rise of ultrabooks and mobile devices has been accompanied by an ever-increasing need for reliable high-bandwidth wireless communications. Their widespread use, combined with the industry’s move to virtualized cloud services, has put additional pressure on the Internet’s back-end infrastructure. Moreover, this increased load has coincided with a progressive shift in use-cases, […]

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Machine Learning Models Explanation Techniques and their Applications in Business

In practical machine learning problems, it is important to understand impact of features on models’ predictions. Such an understanding helps not only better explain the black-box machine learning models but also enables their effective applications in business environment. The general model explanation approaches make an untenable assumption that the model’s features are uncorrelated, which can […]

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Scaling-up carbon fibre production from Alberta’s asphaltenes.

The proposed research project would focus on the development of high-value carbon fibers from low-value waste by-products, asphaltenes, for multifunctional applications. One part of the program would highlight the efforts to scale up the technology without deteriorating the process performance. The other part of the program would focus on working with North Forge in the […]

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Dégradation aérobie du mazout diesel n°2, bunker diesel n°6 et de l’huile à moteur

En 2010, au Québec, 73 % des terrains recensés par le Système de gestion des terrains contaminés (Système GTC), affichent une contamination de nature organique (Hébert et Bernard, 2013) Actuellement, les techniques de dégradation chimique et/ou biologique sont largement utilisés dans l’industrie, mais les résultats sont souvent décevants pour les hydrocarbures les plus lourds (Bunker […]

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Ocean Waves to Power Data Monitoring Buoys

This project aims to design sustainable new microsystems to power data monitoring buoys that can provide a sustainable power source using the ocean waves dynamics. The proposed project will result in significant advances in three long-standing challenges in energy harvesters-based micro devices powering the data monitoring buoys using the ocean waves. These include low frequencies […]

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A Viable Scalable Electrochemical System for Highly Selective CO2 Electroreduction to Formate at High Current Densities

Reducing greenhouse gas emissions, particularly carbon dioxide, is a major scientific concern to tackle climate change. One promising method is to convert CO2 into fuels via electrochemical CO2 reduction (ECR). Nonetheless, several challenges remain before this technology can be scaled up and commercialized, including achieving a high selectivity, current density (i.e., reaction rate), and long-term […]

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Application of Machine Learning Models to Predict Potato Crop Health

This project aims to apply machine learning in the context of potato farming. By analyzing many previous spectrometer scans of potato plant leaves, models will be developed that can estimate the amount of nutrients in a potato plant based on a single scan. The models produced by this project will help offer a more scalable […]

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Microbiome-endocannabinoidome role in response to prebiotic and probiotic interventions in a Murine Model of Diet-Induced Metabolic Syndrome

Probiotics could help prevent or treat metabolic-related conditions such as dyslipidemia or Type 2 Diabetes. Combination of probiotics with prebiotic fibers could potentiate the positive effect of these treatments. Our hypothesis is that probiotic strains, coupled with brown algae prebiotic fibers, may hold potential for modulating lipid metabolism, which might represent an interesting avenue for […]

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Modeling water temperatures in the Fraser River watershed network

Rising river temperatures, partly driven by land-use and climate warming, threaten the future of Fraser River salmon. It is vital that fisheries managers acquire tools that will aid their understanding of how rising river temperatures will impact salmon in the Fraser River. With my industry partner, I will build a novel mathematical temperature model for […]

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Enhancing Ultrasonic Waves Transmission in Liquid Metals for AI-Assisted High-Temperature Characterization

Companies in the energy sector are increasingly considering the use of liquid metals in their operations (e.g. for cooling). This presents new challenges related to the inspection and monitoring of these infrastructures. Indeed, these industries often operate in very harsh environments (e.g. ionizing radiation) and under very high pressure and temperature conditions. Thus, the ultrasonic […]

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An Automated Manhole Extraction Algorithm from 3D Point Cloud Utilizing a New LiDAR-based Mobile Mapping System

Traditional surveying procedures are labor and cost intensive. Mapping features like manholes require traffic disturbance, add risk to the field crew personal and the community members. The proposed project utilize a newly developed unique LiDAR-based mapping system. The developed 3D mapping system has a substantial cost reduction compared to the commercially available, which also tend […]

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