Understanding cybersecurity data and analysis models with intelligent visualization

Cybersecurity incidents such as data breaches have become more critical and costly than ever, as we are generating, processing, and relying on more digital information every day. To quickly identify potential security attacks and prevent them in a sea of system activities, machine learning (ML) has been applied to support security analysts’ decisions. However, the […]

Read More
Plasma-assisted ammonia and value-added hydrocarbons productions from CH4 and N2

Ammonia is crucial for life as a primary element for fertilizer production and it is also a foundational feedstock for pharmaceuticals, dyes, and chemical synthesis. Ammonia has also emerged as an energy carrier and transportation fuel. Plasma-based reactors are potentially operated by renewable electricity sources (wind and solar), offering lightweight, flexible, straightforward on/off switch, and […]

Read More
QA-Enhanced MLOps pipelines for robust and adaptive ML-intensive industrial systems

Sycodal is a Canadian company that empowers local small and medium-sized enterprises (SMEs) with cutting-edge digital solutions to overcome human resource shortages and adapt to market fluctuations. It is a member of the NVIDIA Inception program and uses NVIDIA’s technology to add machine learning (ML) and reinforcement learning (RL) capabilities to its automation systems. These […]

Read More
Implementation of the Post-Quantum Cryptographic Algorithm: Multivariate Polynomial Public Key (MPPK)

The Multivariate Polynomial Digital Signature Scheme (MPPK-DS) is a new Post-Quantum cryptographic scheme that relies on the hardness of solving a set of multivariate polynomials. The scheme is an ideal candidate for the new NIST call for Post-Quantum digital signature algorithms that intents to diversify the post-quantum signature standards. In this project, we will work […]

Read More
Mise en place d’un système de gestion de la qualité ISO9001

Basé au Canada et situé dans la région du Grand Montréal, DOORspec se spécialise dans la conception, la fabrication et le développement de systèmes de portes intégrés pour l’industrie du transport en commun. Le groupe DOORspec est formé d’une équipe d’ingénieurs hautement qualifiés. Tous des experts dans le domaine du transport en commun, ils offrent […]

Read More
Electrochemical-based Biosensor Assays for Detecting Drugs of Abuse in Saliva at Ultra low Levels

Drug-impaired driving represents a significant and increasing threat to the safety of Canadians and there is an urgent need for a convenient, rapid and accurate road-side testing technology for impaired driving. Current solution for roadside drug testing only provides qualitative results, while quantitative detection of drugs currently requires expensive equipment, dedicated infrastructure and specialized laboratory […]

Read More
Analyse de rentabilité d’un carrefour énergétique décentralisé et vert en zone agricole

Le projet vise à étudier un modèle de carrefour de production d’énergie décentralisé et indépendant produisant des énergies et des produits nécessaires à la production agricole (électricité, engrais…). Ce modèle de carrefour énergétique servirait à alimenter des zones agricoles à partir d’un mix d’énergie verte produite sur place (éolien ou solaire). A travers la combinaison […]

Read More
Développement d’un module de production d’énergie électrique autonome 4.0

L’industrie minière canadienne dépend encore considérablement des énergies fossiles en raison de ses activités qui sont principalement localisées dans les régions non reliées au réseau de distribution électrique principal. L’objectif de ce partenariat entre l’Université du Québec à Rimouski (UQAR) et l’entreprise Caron Technologies International (CTI) Inc. est de développer et de concevoir un module […]

Read More
Novel application of deformable image registration using Computed Tomography for early diagnosis of lung parenchymal disease: focus on lung fibrosis

We aim to optimize advanced Computed Tomography (CT) imaging to provide non-invasive and accurate assessment of early lung fibrosis. Lung fibrosis causes inflammation and scarring of lung tissue and can be progressive, even fatal. Currently, detection of lung fibrosis relies on relatively insensitive tests, such as pulmonary function tests and static lung CT. Alternately, microscopic […]

Read More
SIMULATEUR SOC

La simulation et l’émulation sent des voies qui méritent d’être explorées pour alleger le fardeau de la maintenance d’un materiel coûteux et de son infrastructure. Trouver et mettre en oeuvre le bon niveau de details dans un simulateur de périphérique permet de prototyper et de tester rapidement le logiciel afin de réduire les délais de […]

Read More
Design and synthesis of novel influenza M2 proton channel inhibitors with drug resistant antiviral activity

Seasonal influenza causes significant mortality and morbidity worldwide, and we are currently unprepared to mitigate a fatal pandemic outbreak like the 1918 Spanish Flu. A proven influenza antiviral target is the M2 viroporin, or viral ion channel. Amantadine, an M2 inhibitor was an effective antiviral for 20 years. However, current influenza antivirals are increasingly ineffective […]

Read More