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 […]

This project aims to predict demand and inventory shortages for better inventory management in health care institutions. This will initially allow for a reduction in the expenses generated by emergency orders placed during a stock shortage. Indeed, it will be possible for the establishment to order a larger quantity of the product from the supplier […]

Fleetmetrica is a new business startup that offers an innovative and patent-pending technology called SafetyMonitor for monitoring and controlling fleet safety of large commercial vehicles. Fleetmetrica has achieved success with initial fleets, including improved driver habits using their product and are interested in formally quantifying the effectiveness of their technology. Fleetmetrica is also interested in […]

Artificial Intelligence (AI) is transforming our lives in the same way as the advent of the Internet and cellular phones has done. However, it takes thousands of CPUs and GPUs, and many weeks to train the neural networks in AI hardware. Traditional CPUs, GPUs, and brain-inspired electronics will not be powerful enough to train the […]

Shape memory alloys are materials which, when cooled are easily stretched, but when heated, return to its previously “remembered” shape with a high force. This allows for a simple heat engine to be made, which can use hot and cold sources to create motion and do work. The amount of work that can be done […]