Projets novateurs réalisés

Green ammonia derived membranes & sorbents for direct air capture of carbon dioxide

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Enhancing the efficiency of blow-offs in municipal water services to reduce non-revenue water

Water distribution systems deliver clean water to urban dwellers. To ensure safe water quality is maintained as it is conveyed through the system and to the user, a maximum retention time must be met. Terminal sections of water distribution networks, also known as dead-ends, are notably problematic because water is stagnant. Many cities have opted to use blow-off valves on these dead-end pipes, to continuously withdraw water and avoid stagnation. However, this continuous withdrawal is wasteful and costly. The City of Greater Sudbury faces the challenge of managing water quality and non-revenue water in more than 300 dead-ends with blow-off valves. The main objective of the proposed project is to develop a framework for managing and modelling blow-offs. Findings will inform future blow-off modelling efforts as well as define strategies for the City to close or substitute blow-offs.

Energy efficient iGrow air circulation system for raspberry cultivation

Despite being the world’s third-largest raspberry importer, Canada faces challenges like high local wholesale prices, erratic climate, pest issues, and labor costs. This project offers a breakthrough solution—an innovative, scalable indoor farm—to address these issues. The goal is to create a cutting-edge platform that overcomes horticultural challenges, empowers future growers, and transforms Canadian indoor farming using advanced technology and sustainable methods.

The primary focus is to optimize the microclimate of the existing iGrow platform by managing airflow and vapor pressure deficit, vital factors impacting crop yield and plant health. To achieve this, a skilled postdoctoral researcher experienced in designing airflow for engineering applications using open-source libraries will be engaged.

The current iGrow system utilizes a closed-loop design to efficiently remove moisture from plants and recover energy from light fixtures. This captured heat serves to warm plant roots and condition incoming air, boosting energy efficiency. The appointed postdoctoral researcher will redesign airflow components—supply plenum, nozzles, and return ducts—to ensure controlled vapor pressure deficit and optimal airflow distribution within the closed-loop system, aiming for maximum benefits.

By merging technology and sustainability, this project aims to revolutionize indoor farming in Canada, leading to improved yields, plant health, and knowledge sharing among future growers.

Réseau hydrographique en Afrique du Nord (60,000 – 12,000 ans)

Notre espèce, Homo sapiens, a de tout temps dû co-évoluer avec les changements climatiques et écologiques du territoire. Ces interactions ont pu influencer l’évolution biologique et culturelle des populations humaines. Pour autant, nos connaissances sur ces processus restent limitées par la nature même des données archéologiques disponibles et la difficulté de mettre en relation les modèles climatiques proposés pour le passé lointain. Ma recherche doctorale examine les conditions écologiques en Afrique du Nord entre 60 000 et 12 000 ans, intervalle au cours duquel la Sahara s’aridifit et où les populations maintiennent et/ou initient de nouvelles pratiques culturelles à des échelle régionales. Le facteur climatique est souvent proposé pour expliquer ces changements, toutefois, peu d’études se sont portées sur cette question à une échelle macro.
Ce projet propose une reconstitution du réseau hydrographique nord-africain afin d’évaluer son étendue spatial au sein des territoires. Les cartes obtenues permettent de discuter la connectivité écologique des régions, leur portée pour l’isolement ou la connectivité des populations humaines, et leur influence sur la transmission d’informations culturelles.

Machine Learning Developer interns within cross-functional teams to develop and commercialize AI-powered solutions – Part 11

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Simulation of the underwater vehicle

The internship will be centred on the simulation of the dynamics of the Proto towed vehicle platform. Go Beyond will produce an initial design for the intern to work with, which will strongly resemble a torpedo-shaped AUV. The Proto simulation research will take that design and study various aspects of its dynamics. The outcome of the project will be a functioning dynamical model of Proto, which will help to influence the real-world prototype.

Developing VR scenarios for the assessment of Atlas Copco’s products

The project will develop and test VR scenarios for the assessment of selected AC tools and products. This will help AC develop more usable next-generation products.

Creating Brand UX

Independent retailers can’t compete with the convenience and assortment offered by online and omnichannel retailers. At Fitzba.com, we are making local shopping as convenient as online. Our product development team is in a race to achieve product-market fit. We need a Brand UX intern to help us design the website’s user interface. But the other side of having a great product is telling people about it. The Brand UX intern will support the marketing team to execute brand strategy.

AI Global Pros : Prévision de la demande

Al Global Pros est une entreprise offrant des produits personnalisés aux besoins des entreprises. Pour un de leurs clients, ils ont développé un produit permettant de prédire la demande sur un catalogue de plusieurs milliers
de produits desservant plusieurs milliers de petites et moyennes entreprises partout au Canada.
Cependant, pour faire ces prédictions, ils utilisent un ensemble de modèles spécifiques qui dépendent de plusieurs caractéristiques des entreprises clientes finales (taille, localisation, spécialisations, etc.). Les objectifs de ce projet couvrent l’amélioration de la solution courante en tentant de prédire quel modèle sera le plus utile dans quelle situation, de voir si un seul modèle (ou un sous-groupe) peut être aussi performant que cet ensemble
de modèle, et de voir si des caractéristiques externes présentement non intégrées peuvent aider à la sélection et l’efficacité des modèles actuellement utilisés.
Ce projet vise donc à trouver une meilleure façon de prédire la demande des multiples produits selon les caractéristiques de leurs clients dans le meilleur temps, soit en construisant un modèle sélectionnant le meilleur modèle à utiliser, soit en construisant un modèle plus général sans perte de performance.

Turning Waste into Wealth: Valorization of Cocoa Pod Husks in Colombia for a Sustainable Bioeconomy

In this project,will explore how to turn waste from cocoa production, specifically cocoa pod husks, into useful products. We will study different ways these husks can be used, such as turning them into a source of clean energy, a component for skincare products, or even as a supplement in animal feed. Our aim is to make the process of producing cocoa, a key ingredient in chocolate, more sustainable and beneficial for everyone involved, from farmers to consumers. We hope to find new ways to use these husks that can benefit the environment and also create new business opportunities. In particular, we will focus our research on cocoa production in Colombia, one of the world’s top cocoa-producing countries. The ultimate goal is to help reduce waste, improve the local economy, and contribute to a healthier planet.

Empowering Computer Vision Systems of Autonomous Vehicles with Tensorized Neural Networks

This project aims to make self-driving cars smarter and safer. Imagine a self-driving car that can see and understand everything around it, like a human driver. This project wants to create a special kind of computer brain for these cars, using something called “tensorized neural networks.” These networks are like super-powered tools for the car’s brain to understand what’s happening on the road. The goal is to help the car quickly notice when something unusual or dangerous is happening, like a person suddenly crossing the road. This will make self-driving cars much better at avoiding accidents and driving smoothly. The project will also compare this new brain to other methods, making sure it’s the best. This research could lead to safer and more trustworthy self-driving cars that we can use in our daily
lives.

The Short-Term Effects of Introduced Honeybees on Native Bees (Megachile spp., Osmia spp., and Hylaeus)(Hymenoptera) in a Mixed-Wood, Deciduous Forest in Haliburton, Ontario

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