This project aims to create a communication tool that works without the internet by using mesh networking technology. It is designed to help workers in remote or dangerous areas stay connected, even during emergencies like power outages or network failures. The system can send important information such as location, temperature, and gas levels between devices. […]

The intern Mr. Andersen will travel from Aarhus University, Denmark to Polytechnique Montréal, Canada, to research the engineering of Digital Twins (DTs). DTs are virtual representations of physical systems, like the concrete mixing machine which is the focus of this project. Mr. Andersen will work with Prof. Bentley Oakes on the research problem of ensuring […]

Polarys Data est un projet qui vise à aider les gouvernements à mieux utiliser les données publiques pour prendre des décisions plus efficaces. Actuellement, ces données sont souvent dispersées, difficiles à consulter et à comprendre, ce qui ralentit les processus et augmente les coûts. Polarys propose de rassembler automatiquement ces données dans une plateforme intelligente […]

Cette recherche doctorale examine le rôle de la communication interne dans la croissance socio-économique pérenne des startups (Fintech) en Afrique de l’Ouest (Burkina Faso, Côte d’Ivoire et Nigeria). S’appuyant sur l’approche constitutive de la communication, elle scrute comment la communication interne (dés)organise les dynamiques internes des startups et leur croissance. Positionnant la startup comme une […]

AllerEase is a personalized grocery recommendation tool that helps allergy-sensitive users shop safer and easier. It generates user-specific shopping lists based on allergy profiles and live product data. This project aims to refine matching logic and validate usability through real-world testing.

Ce projet vise à établir une stratégie de commercialisation viable pour la mise en marché d’un produit dérivé de travaux de recherche publique réalisés par le stagiaire. Le projet développera ce modèle pour un nouveau type de commutateur photonique, conçu pour répondre aux besoins émergents des centres de données, notamment en réduisant leur consommation énergétique […]

The proposed research explores the use of mid-air haptics using ultrasound waves on the dorsal side of the hand, with envisioned applications for the dynamic display of haptic cues while reading embossed braille or tactile graphics.

The rapid rise in global telecommunications, fueled by artificial intelligence and edge computing, is placing unprecedented pressure on existing infrastructure. Data centers, in particular, are struggling to meet surging demands for bandwidth and energy efficiency, raising concerns about scalability and environmental impact. To address this, our team has developed a novel photonic telecom switch designed […]

Le projet vise le développement du flacon digital, c’est-à-dire une approche de simulation numérique qui permet d’étudier des réactions chimiques et de prédire les produits qui seront observés en laboratoire. Le flacon digital fournit une vision moléculaire des différentes réactions chimiques possibles, ce qui est autrement impossible à obtenir directement. Une première application de celui-ci […]

Apex Health is an emerging Canadian digital health company dedicated to advancing equity, security, and innovation in health information management and informatics. Its operations are focused on delivering privacy-first digital health solutions, including health data analysis using machine learning and predictive analytics. Apex Health is committed to helping Canadian healthcare organizations optimize clinical outcomes, enhance […]

This project is focused to democratize enterprise-level information technology solutions for Atlantic Canadian small and medium sized businesses (SMBs) through a revolutionary one-person or small team, agile, artificial intelligence (AI)-powered consultancy model. This project will provide key innovation using cutting-edge AI tools (Claude, agentic AI), which can deliver digital transformations at 1/10th the traditional cost […]

This project focuses on investigating more efficient and simplified approaches for very short-term precipitation forecasting, known as nowcasting. The goal is to evaluate and adapt lightweight machine learning models that can deliver accurate predictions using fewer computational resources. By reviewing existing models, testing their performance, and exploring ways to simplify their architecture without losing accuracy, […]