Projets novateurs réalisés

L2M – Next-Generation Multisource Thermo-Photovoltaic Receivers for Wireless Power Transmission Networks

We’re developing the first high-efficiency, ultra-long-range, multi-source thermophotovoltaic (TPV)-based wireless power transmission (WPT) receiver, designed to convert laser beams into electricity without relying on fragile PV surfaces. It uses a spectrally selective absorber to convert laser into tailored thermal emission, matched to low-bandgap GaSb cells. Unlike traditional laser WPT systems, it performs effectively in space, underwater, harsh environments, and ultra-long distances, where cables, batteries, or PV-based WPT fail or lead to high losses, costs, and oversized infrastructure. With low beam divergence, low atmospheric attenuation, spectral and laser flexibility, uniform high-power density tolerance, thermal buffering, and photon recycling, our system de-livers unmatched efficiency, scalability, and mission adaptability. From drones and satellites to deep-space and subsea infrastructure, this technology redefines untethered power delivery across Earth, orbit, and beyond.

L2M – LeanPrompt: Accelerating Generative AI with Smarter Resource Utilization

We aim to develop and implement a cost-efficient framework for communicating with proprietary generative AI platforms such as ChatGPT. In fact, these provider companies expose their models through an interface that can be accessed via API. However, calling their API will incur a cost considerably based on our request. Basically, smaller models are cheaper than larger models. However, the smaller models are less capable and may not generate accurate responses. Hence, we aim to reduce the cost while maintaining the accuracy and latency of our product. We will implement this approach with three mechanisms. First, we compress input as the larger queries will charge us more (It is calculated per number of words). Secondly, we use a routing mechanism to use smaller models for simpler tasks and larger models for more complex tasks. Lastly, we will use a caching mechanism to leverage the previously answered data and avoid invoking the models every time. All these approaches would reduce our cost, and also they can preserve the performance of our model with smart techniques. At the end, the partner organization can invest its budget more broadly across different objectives. Also, they can engage more user on their platforms by providing accurate responses.

L2M – NeurolAssist

We are developing a specialized AI-driven Clinical Decision Support System (CDSS) for neurology that integrates a large language model with domain-specific tools (such as neuroimaging analysis, EEG interpretation, and up-to-date medical knowledge retrieval). The system serves as an intelligent assistant for neurologists, helping analyze patient data (e.g. MRI scans, EEGs, clinical notes, etc.) and providing evidence-based diagnostic support. Uniquely, our LLM-powered solution engages in dialogue with the doctor and asks clarifying questions when it’s not sure or needs more information, and it continuously checks the reliability of its tool. We aim to integrate the system into electronic medical records (EMRs) used in Canada and the US to potentially reduce diagnostic errors and save physicians time in neurological care.

L2M – Commercializing CORIMA: A Systems-Based Platform for Interorganizational Risk Management in Ports

This project will support the early development of CORIMA, a new digital platform designed to help ports and other industries improve how different organizations work together to manage safety and risk. The platform is based on research done at Dalhousie University and uses a systems-thinking approach to identify gaps in coordination that can lead to delays, accidents, or inefficiencies. Through interviews, early testing, and business planning, this project will help turn academic knowledge into a practical tool. The expected benefit to CORIMA is a stronger foundation to move forward with commercialization and expand its use across the port sector and other industries.

L2M – A Novel Robotic Tool for Material Removal Applications Using Magneto-Rheological Actuators

**Public Project Overview**
This project will develop a new type of robotic tool for sanding, grinding, and polishing using advanced magneto-rheological (MR) actuators. Unlike traditional tools that rely on air pressure or electric servo motors, the MR-based tool can quickly and smoothly adjust how hard it pushes on a surface, making it ideal for high-precision jobs. The goal is to turn an existing lab-tested prototype into a production-ready product that can be used in real industrial settings. This tool will help our partner organization offer a next-generation solution to manufacturers looking to improve product quality, reduce manual labour, and automate surface finishing tasks more efficiently.

L2M Launch / Qc Fall 2025 / mTatt

mTatt is a medtech startup developing functional microtattoos for real-time, at-home health monitoring. Using dissolving microneedles — biocompatible structures under 1 mm in length — we painlessly deliver fluorescent sensors into the skin, creating a functional tattoo. These sensors respond to key biomarkers like NT-proBNP, glucose, or electrolytes, providing clinically valuable insights without blood draws or clinical visits. Data is captured via a smartwatch-style wearable and sent to the user’s phone, enabling patients and physicians to track health conditions continuously and intervene early. Our platform makes the diagnostic power of a lab accessible in real time, from the comfort of home.

L2M – DeepSimu: Next Generation of Deep Learning Frameworks

DeepSimu, the next generation of Deep Learning (DL) frameworks, is proposed to deal with the challenges which Artificial Intelligence (AI) practitioners are facing nowadays when using the available Machine Learning (ML) tools such as Tensorflow, Pytorch, Keras and ScikitLearn. While these frameworks necessitate high level python programming skills like object-oriented programming, DeepSimu has made a huge shortcut in the process of learning AI by eliminating Python from it. This novel framework presents a block diagram environment where different elements of a deep learning model such as Dense layers, Convolutional layers, Recurrent layers, and Attention layers are represented in the form of some blocks. The user can easily arrange these blocks according to the desired architecture and link them by drawing some lines between them. While Canada is considered as the birthplace of DL and modern AI in the world, it plays no significant role in the business of DL frameworks. As countries around the world race to leverage artificial intelligence (AI), a recent study found that Canada is falling behind. In a recent study from KPMG, Canada ranked 44th in AI training and literacy out of 47 countries, and 28th among 30 advanced economies. The study surveyed over 48,000 people in 30 advanced economies and 17 emerging economies, including 1,025 people in Canada. DeepSimu is believed to be a milestone for Canada in the business of AI. It is expected to facilitates and accelerates the process of learning and teaching AI in Canada. This innovation will result in increasing the number of people knowing how to work with AI in Canada and generally speaking would make a dramatic change in the public confidence toward AI.

Cross-National Comparison of Family Mental Health in the Context of Autism Spectrum Disorders: France vs. Canada

This research project aims to conduct a cross-national comparison of family mental health in the context of Autism Spectrum Disorder (ASD) between France and Canada. The first step will involve harmonizing data from two national cohorts (ELENA in France and PATHWAYS in Canada) by identifying common or comparable mental health measures and family characteristics. Using the R software, the student will then conduct statistical analyses to compare the two cohorts. This research will contribute to the writing of a scientific article as part of the student’s doctoral thesis, in collaboration with both the French and Canadian research teams. The project is expected to strengthen collaboration between the two teams and support future joint research projects, while promoting better harmonization of data collection practices between the two countries to allow more meaningful international comparisons.

Next-Generation Wound Dressings: MOF-Loaded 3D-Printed Hydrogels for Diabetic Ulcer Treatment

Diabetic foot ulcers are a major complication of diabetes, often leading to serious infections and even limb amputations. These chronic wounds heal poorly due to prolonged inflammation, oxidative stress, and tissue damage. This project aims to develop an advanced wound dressing that combines natural and synthetic materials with innovative nanotechnology to improve healing outcomes. The dressing is based on a hydrogel made from Furcellaran (a seaweed-derived polymer), poly(vinyl alcohol), and glycerol. This formulation supports moisture retention, flexibility, and cell growth. To enhance its healing power, the hydrogel will be embedded with nanozymes—tiny, enzyme-like metal-organic frameworks (MOFs) that can reduce oxidative stress and fight bacteria. Using 3D printing, the dressing can be customized to fit irregular wounds, offering precise and effective treatment. The goal is to accelerate healing, reduce infection risk, and lower healthcare costs for diabetic patients. This international collaboration brings together CEITEC Brno University of Technology and the University of Waterloo. CEITEC focuses on hydrogel development, while Waterloo contributes expertise in nanomaterials and biological testing. The project not only addresses a critical medical need but also supports global goals for health innovation, sustainability, and interdisciplinary research.

De nuisance à ressource : valoriser une espèce envahissante pour dépolluer un écosystème aquatique

Ce projet appuie les efforts de restauration du lac Osisko, situé à Rouyn-Noranda, un plan d’eau fortement contaminé par des activités industrielles. Le but est d’évaluer le potentiel d’une méthode écologique appelée phytoremédiation, qui utilise des plantes pour extraire les polluants. L’étude portera sur le myriophylle à épis, une plante aquatique envahissante déjà présente dans le lac. Nous analyserons sa répartition, sa biomasse et sa capacité à accumuler les contaminants, afin de déterminer si son retrait pourrait aider à assainir le milieu.

Le projet renforce les travaux de recherche en cours à l’UQAT et s’appuie sur l’expertise de l’Université de Tuscia en Italie. Il permettra à la stagiaire de développer des compétences pratiques en terrain, en laboratoire et en analyse de données, tout en favorisant une collaboration internationale. Les résultats pourront guider les décisions locales pour la restauration du lac, tout en sensibilisant la population à la protection de l’environnement.

Assistant au développement des affaires chez HeatConnect

Étude de marché et développement de l’intégration et du déploiement de la solution innovante de chauffage écoénergétique HeatConnect, chauffage par revalorisation de rejets thermiques produits par des centres de données décentralisés, au sein du marché industriel nord-américain. Par ce développement stratégique, FirstBlock souhaite étendre ses activités aux États-Unis, en plus de diversifier ses opérations au sein des procédés industriels les plus énergivores et polluants en Amérique du Nord.

New Directions Try Program Assistant Instructor

The New Directions Try program works with youth on a wide scale of risk levels to help them achieve their goals. All the youth in the program have something working against them such as mental or physical disabilities, CPS involvement, and even charges against them and our job is to help set them up for success despite these factors. Whether their goal is to return and finish school or to enter the work force, the Try Program are equipped with the knowledge and resources to help get them there. The youth work in a class room style setting and will experience cultural activities as well as academic outings. New Directions is prepared to help these youth with whatever challenges they may face and create a safe space within their building for the youth to grow and flourish. The youth have opportunities to gain work experience in their onsite cafe and gain training such as food handlers as first aid/cpr training. The goal is to help these youth find their footings and get them ready to live out in society on their own.