Radcom and Varcon will design a standardized, high-velocity “Programmatic Build” framework for greenfield cellular towers in rural New Brunswick, enabling faster, lower-risk deployment to support provincial connectivity goals.

Modern defense and security operations rely on rapidly expanding networks of distributed sensors operating across air, land, maritime, cyber, and space domains. These sensors generate vast volumes of heterogeneous data—including EO/IR imagery, radar tracks, and RF detections—often transmitted across bandwidth-constrained, unreliable, or contested communications networks. In many current architectures, sensor data must pass through centralized […]

Carbon capture is an important emerging technology for industries which must decarbonize before 2050. One promising subset of this technology is direct air capture (DAC). This technology intakes air from the atmosphere and removes CO2, presenting the possibility of a truly carbon negative process. While this technology boasts great opportunities, they can be expensive and […]

Les plaques sont des structures omniprésentes dans nos lieux de vie, de travail, ou nos moyens de transport. Leur comportement vibroacoustique est majoritairement amélioré par l’ajout de masse, de raideur ou d’amortissement, ce qui est en contradiction avec les objectifs de développement durable en matière de consommation et de production durables et responsables, qui visent […]

This project will help CELLECT assess whether its sample workflow is ready for partner-facing validation, while shaping a clearer commercialization and partnership strategy. The benefit is reduced technical and business risk before next-stage testing and engagement.

Fine particulate matter such as PM10 and PM2.5 can contribute to negative health impacts, poor air quality, and climate change. A major source of these particles in urban environments is dust generated by vehicle traffic and wind-driven resuspension, a source not well understood despite its importance. Specifically, key factors such as dust surface loading and […]

Ce projet vise à étudier l’influence de la géométrie de tuyère sur la formation des traînées de condensation dans le champ proche d’un turboréacteur d’avion. Les traînées de condensation constituent un effet climatique non CO2 important de l’aviation. Leur formation dépend du mélange entre le jet propulsif, composé du flux primaire et du flux secondaire, […]

In this project, the goal is to support the development of a space hardened carrier board for an Iridium module installed on a LEO satellite that will be launched in 2027. The board will serve to bring power from the onboard electrical power system (EPS) and communicate with the on-board computer (OBC) over a data […]

Description grand public: Les codes de correction d’erreurs (CCE) sont utilisés dans la plupart des systèmes de transmission et de stockage de données, car ils permettent une réduction significative de la puissance du signal émis (ou stocké), ce qui permet à l’émetteur de consommer moins d’énergie. Cependant, les CCE efficaces nécessitent une quantité d’énergie importante […]

Bien que la technologie d’AWL-Électricité permette une distance de transmission supérieure à celle des solutions sur le marché, la performance du système est fortement affectée par le désalignement des interfaces de couplage (émetteur-récepteur). Actuellement, la conception et l’optimisation des interfaces constituent le goulot d’étranglement le plus important en termes de temps (délai de prototypage) et […]

This project will support Alta Construction Group, a Canadian for-profit organization operating in the housing and built-environment sector, by strengthening its business strategy and operational decision-making. Two undergraduate interns will conduct market research, analyze data, and assess internal processes to help the organization better understand market demand, improve efficiency, and identify growth opportunities. The insights […]

This project aims to improve hydrological modeling by combining Machine Learning (ML) models with physics-based models to better simulate how water flows through river networks. While traditional models are physically consistent but limited in using big data, and ML models are powerful but lack interpretability, this project integrates both approaches through a framework called differentiable […]