Développement d’une application utilisant l’intelligence artificielle pour faciliter la détection et l’identification des difficultés de lecture chez l’enfant

Les services d’évaluation offerts en milieux publics, et même privés, sont insuffisants pour répondre aux besoins des enfants vivant avec des troubles de la communication (12% au Canada). Afin de limiter le risque d’effets à long terme sur le développement de l’enfant ainsi que sur sa réussite scolaire, une intervention précoce et un soutien pédagogique […]

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Globally and locally consistent molecular representations through Fibered AutoEncoders

This project aims to explore ideas from a machine learning technique called Fibered AutoEncoders (FAE) for molecular representation learning. This technique will allow us to perceive the molecular space through a topological lens using the concept of fiber bundles, and it will give us a disentangled multi-level encoding of molecules. Since the molecular space is […]

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Fabrication and Testing of a Microlens Array Optical System

The purpose of this project is to design and fabricate a compact optical component that will be used in tandem with a display panel to use in Head-Up Display systems. The essence of the optical component design is the use of microlens arrays. Microlens arrays are thin, usually planar lenses composed of much smaller lenslets […]

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If You Don’t Like the Game, Change the Rules: Alternative Modes of Videogame Production

The games industry is infamous for making employees work excessive hours, fostering toxic work environments, and burning out its workforce. Despite these concerns, game developers are hesitant to change how their businesses are organised. This research project will explore the reasons that Canadian game workers may be reluctant to adopt alternative labour structures such as […]

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Deep Learning Methods for Design of RNA-targeting Small-Molecule Antibiotics

Growing antibiotic resistance is a major threat to global public health. One way to combat this problem is through the development of antibiotics that act against bacteria in new ways. Historically, antibiotics work by interacting with proteins in the bacteria, which are needed for the cells to reproduce. However, recently, it has been shown that […]

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Realistic image compositions with deep learning priors

Image composition is an operation that incorporates an object extracted from a source image to incorporate it inside a target image. This simple operation has a lot of practical applications in the advertisement, entertainment, and movie industries. However, it is tedious for an artist to achieve realistic image compositions. Indeed, it requires different lighting, shadows, […]

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The potential of frass as a microbiome-based soil amendment

Industrial-scale production of protein from black soldier fly larvae (BSFL) has emerged as an efficient and sustainable alternative to wild harvesting or large animal farming. The principal waste product, called frass, has plant growth-enhancing properties exceeding those explained from primary nutrient (e.g., N,P,K) profiles, but how does frass confer these growth enhancing properties upon plants? […]

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Closed loop, vapor-phase processing of nickel for porous materials for EV batteries

The proposed research project aims at technology for environmentally benign recycling of nickel. The process entails conversion of nickel found in the “black mass” from recycled Ni-based batteries into nickel carbonyl, Ni(CO)4, by reaction with CO at modest temperatures around 50-120°C (pressuredependent). Only nickel carbonyl is volatile under these conditions and is easily separated from […]

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Developing an energy monitoring and modeling concept for an innovative low temperature heat source project using PVT panels and sewage water for the Coniston Seniors’ Center

This project is about designing a system to monitor the performance of a renewable energy system installed in the Coniston Seniors’ Center for supplying the hot water demand of the building. This system includes photovoltaic thermal panels, wastewater heat recovery system, thermal energy storage, and heat pumps. The proposed system will use no fossil fuel […]

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Salmon peptide identification and purification: insulinmodulation

This proposal describes a multidisciplinary approach to optimize the separation of peptides from an enzyme digest of filleting waste (frames) recovered from farm-raised Atlantic salmon. Our work has demonstrated that a particular salmon peptide fraction has the ability to reverse the effects of type 2 diabetes in rodent feeding trials and model system (tissue culture) […]

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Development of Fully Compostable Beverage Cups

The objectives of the proposed research are to develop fully compostable and biodegradable beverage cups in Manitoba, using paper made from “waste” biomass (canola straw, cattail biomass) biodegradable polymers.

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