Développement d’un béton fibré à ultra haute performance utilisé dans le domaine de la préfabrication de panneaux légers pour la construction modulaire

Ce projet est une collaboration entre l’Université de Sherbrooke et les entreprises Adjuvants Euclid et Duchesne Lac-Mégantic. Il vise à développer un panneau préfabriqué en béton ultra-haute performance pour l’enveloppe des bâtiments. Une version en pierre naturelle de ce type de panneau avec un substrat en fibre de carbone a été déjà été développé et […]

Read More
Nurturing Landscapes: Bringing together ecology, education and design in the creation of stormwater management systems on school grounds

This research looks to explore the collaboration of ecology, education and design in the creation of built and natural systems to sustainably manage and educate about storm/rain water on school grounds. The research will be conducted through the analysis of 3 key case studies of schoolyard storm/rain water management projects that represent a successful, progressive […]

Read More
A continued optical function analysis for thin-film device structures

Informed thin-film device design, wherein layers of thin-films are deposited onto an underlying substrate, requires an understanding of the spectral dependence of the optical functions associated with the thin-film layers which constitute such a device. In this project, we aim to continue to develop our understanding of the form of the optical functions for the […]

Read More
Intégration de la gestion des idées dans le processus de gestion de l’innovation technologique de l’IRÉQ

Ce projet comprend l’animation/observation de communauté de pratique pour modéliser et prototyper une amélioration du système de gestion des idées existant et à l’intégrer parfaitement à la gestion de l’innovation technologique de l’IRÉQ. Ce nouveau système permettra la valorisation des idées produites dans un contexte scientifique pour les amener vers un processus d’innovation technologique. Ainsi, […]

Read More
Analyzing the potential of hydrogen fuel cell electric vehicles as distributed energy storage or generators to decarbonize transportation and power sectors

Decarbonizing the transportation sector and scaling up energy storage are critical for the transition to a net-zero economy. This project will study the potential of connecting fuel cell electric vehicles (FCEVs) to the electrical grid as distributed energy storage and/or electricity generators to supply electricity to the grid when needed. This FCEVs-to-grid pathway can maximize […]

Read More
Representation Learning in Knowledge Graphs

Mastercard is looking to make transactions simple and secure for its customers and vendors across the globe by harnessing the power of graph learning. In this project, the power of graph-based deep learning will be utilized to develop a system that can detect fraud entities, anomalous communities, etc. This track will enable card users and […]

Read More
Solid Waste Management Best Practices: Cost-effective options to sustainably manage solid waste in the Peace River Regional District

Concerns over climate change have led public and private institutions to change the way they conduct business. Initiatives include ways to reduce greenhouse gas emissions and working toward a net zero carbon society. Recycling and composting programs have been around for decades, with the goal to reduce the amount of solid waste entering the landfills. […]

Read More
Medzy : Pharmacien Virtuel – Triage et aiguillage intelligent des patients

Medzy est une plateforme de pharmacie virtuelle qui assure un suivi thérapeutique assidu, fondé sur un système de rappels et d’alertes, un dosage de médicaments clair et personnalisé, ainsi qu’une interaction continue et entièrement confidentielle entre le patient et son pharmacien. Ce dernier devient donc un acteur proactif du cheminement thérapeutique. Le patient, lui, voit […]

Read More
L’accompagnement entrepreneurial : une approche relationnelle et écosystémique

Les entrepreneurs et entrepreneuses ont souvent des parcours hétérogènes, peu conventionnels et pavés de détours. Or pour trouver un accompagnement adapté aux étapes de la mise en place de leur entreprise, plusieurs se tournent vers l’accompagnement entrepreneurial. Celui-ci peut être à la fois du mentorat, de l’apprentissage par les pairs, mais également à travers des […]

Read More
Evaluating diverse non-brewing yeast strains for novel new-make spirit applications

Many of the flavours found in whisky and other distilled spirits are derived from alcoholic fermentation, most commonly by the yeast Saccharomyces cerevisiae. Given the biodiversity of different yeast strains and species, there is an opportunity to identify strains that can produce alcoholic beverages with unique flavours and aromas. The Measday lab has isolated hundreds […]

Read More
Boosting Robustness of Deep Neural Networks against Sparsity-aware Adversarial Attacks

Over the past few years, deep neural networks (DNNs) have been used to solve a wide range of real-life problems. However, DNNs are vulnerable to adversarial attacks where carefully crafted input perturbations can mislead a well-trained DNN to produce false results. As DNNs are being deployed into security-sensitive applications such as autonomous driving, adversarial attacks […]

Read More
Tree retention in harvests: A tool to accelerate forest birds’ recovery

Approximately one-third of songbird species which migrate to the Canadian boreal forest to breed require older forests for nesting and foraging. In Alberta, older boreal forests are altered by ongoing industrial activity, such as logging; the birds that rely on these habitats are sensitive to this change. Forestry companies are constantly developing and testing new […]

Read More