MISSING: Les pressions exercees sur la premiere ligne de soins au Quebec sont importantes et de plus en plus lourdes. L’augmentation de personnes atteintes de maladies chroniques, la population vieillissante et la croissance des couts du reseau sont autant de rea lites qui viennent s’ajouter a la demande faite au systeme de sante qui opere […]

Today, data centers are playing an essential role in the explosion of cloud computing services and the Internet. However, the current architectures of data center networks have not been optimized to transport traffic dynamically. In this project, we will develop a new architecture, which is based on the theoretical concept of Expander graph, for data […]

The deciduous forests of southern Quebec have been heavily impacted by centuries of human disturbances and now bear little resemblance to the forests initially encountered by European settlers. In the coming decades, the climate in this region is expected to change considerably, thus facilitating novel insect pest and disease attacks in these forests. However, not […]

To be safe, collaborative robots must be able to detect human presence in their workspace. Different technologies exist to detect intrusions within a predetermined perimeter (physical barriers with switches, light curtains, etc.). However, these technologies require considerable modifications to the workspace, thus hampering their integration. We propose to integrate this functionality into a collaborative robot […]

The proposed research will develop and test a sustainable remediation framework and set of proposed social and economic ind icators. The framework will build upon existing tools and complement current practices and regulations. The intern ‘s work is part of SRC’s two-year project is to provide a new niche service that will help SRC’s clients […]

L’acquisition de données d’imagerie de diffusion est suceptible à un important problème de variabilité à travers les différents sites d’acquisition (e.g. Sherbrooke vs. Montréal) et à travers les fabricants (e.g. Siemens vs Philips). Puisque ces données de diffusion ne sont pas invariantes aux protocoles et scanners utilisés, il s’agit d’un problème de taille pour les […]

2,5-furandicarboxylic acid (FDCA), as one of the most promising green chemicals, has found a variety of commercial applications, particularly in the synthesis of polyesters, polyamides, and plasticizers as well as adhesives and coatings. FDCA is commonly produced from pure 5-hydroxymethylfurfural (5-HMF) by selective oxidation. However, pure 5-HMF is by far very expensive, generated by catalytic […]

This purpose of the proposed project is to comprehensively study the effects that nickel (Ni), iron (Fe), manganese (Mn) and nano-scale particles have on the microstructure and high temperature mechanical properties of aluminum-cerium (Al-Ce) based alloys. This research will use conventional sintering and casting processes to determine how varying the cooling rate during casting and […]

This project will allow us to develop a microelectronic chip prototype of an energy-efficient AI processor. The AI processor exhibits a 1000 times reduction in power profile compared to standard cloud-based GPUs. Tasks that can be transferred from server GPUs to this solution and deploying our AI-Processor solution to EDGE can estimate substantial energy savings […]

A critical task towards maximizing productivity in the manufacturing of biotherapeutics such as monoclonal antibodies is selecting the appropriate separation technology or sequence of technologies that meet the purity requirements of regulatory agencies (e.g. Health Canada) and maximize product recovery to reduce the overall cost per dose. The focus of this research project is two-fold. […]

Complex gill disease affects millions of farmed Atlantic salmon on the Pacific coast of North America, each year. This disease results in hundreds of millions of dollaras in lost revenue for the industry, yet there are few tools for early diagnosis of the disease/syndrome and no current treatment/intervention strategies that work to control it. The […]

There has been a dramatic increase in digital well-being products in recent years and there is a market saturated with ineffective user experiences and little to no sustainable, desired behavioural change. By assessing and enhancing the effectiveness of a personalized approach to digital well-being app interaction through machine learning and emotion-driven adaptive computing, we can […]