Energ-AI: Artificial Intelligence in Electrical Power Engineering

Classical engineering, referring to the three fields of civil, mechanical and electrical engineering, is currently based on traditional working methods. For example, the validation of plans is often done in paper version and the engineer must interpret photos and drawings manually, which introduces a risk of error due to the human factor. In addition, the […]

Read More
A scalable data science platform to support intelligent freight services and logistics

ShipHaul Logistics aims at developing an Intelligent Freight Services platform towards the digitization, integration and optimization of freight management. The proposed project is the first step to provide the foundations and infrastructure and kickstart the development of the envisioned platform. To this end, we will emphasize evaluation, testing and comparative studies concerning the efficiency and […]

Read More
Disaster Recovery and Cloud Bursting as a Cloud Service

Cloud computing has revolutionized the way organizations consume computing power as a service. Infrastructure as a Service allows a company to move away from purchasing computing, networking, and storage resources to purchasing from a service provider in a public cloud. This project will research and develop off-site encrypted virtual machine storage and disaster recovery planning […]

Read More
Système aéroporté sans pilote de détection de cibles humaines dans l’eau

Le projet de détection et de reconnaissance de personnes sur une étendue d’eau permettra de minimiser les pertes humaines en intervenant le plus rapidement possible lors d’une situation d’urgence. Le temps de survie d’une personne à l’eau est très limité, sous certaines conditions quelques minutes et il varie en fonction du port de ceinture ou […]

Read More
Détection des Deltas P en plongée sous-marine aux abords desbarrages hydro-électriques à partir de l’Effet Doppler

Les interventions des plongeurs-scaphandriers aux abords des barrages hydro-électriques nécessitent la plus grande vigilance afin d’assurer leur sécurité. Au-delà des difficultés ordinaires rencontrées en plongée, les interventions aux abords de ces structures présentent de réels risques de courants puissants et très localisés dus au phénomène de Delta P (différence de pression). Celui-ci est capable d’emporter […]

Read More
Maternal Augmentation and Digital Empowerment Initiative in Tanzania (MADE-IT)

Shortages of skilled healthcare professionals and unequal distribution of healthcare professionals throughout the country are two key challenges causing unexpectedly high number of preventable maternal deaths in Tanzania. Hence, developing innovative solutions that take fewer resources but have a wider impact on Tanzanian midwifery education system is crucial to avert these deaths. Canadian Network for […]

Read More
Vers l’élaboration d’une plateforme collaborative de création et de partage de connaissances dans un contexte de crise sanitaire (ex. pandémie) et environnementale (ex. catastrophes naturelles) en services préhospitaliers et hospitaliers.

Notre intention est de réaliser les travaux préalables à l’élaboration d’une plateforme collaborative de création de partage et la mise en application des nouvelles connaissances générées dans un contexte de crise sanitaire et/ou environnementale mettant l’accent sur les services préhospitaliers. Ces travaux sont à la fois théoriques en répertoriant les connaissances actuelles sur l’utilisation des […]

Read More
Extended Cloud Computing and Applications September 2012-April2014

This MITACS Accelerate program will support a internships for graduate students in the areas of services and applications using next generation communications, Internet, and cloud computing. The interns will be placed in Canadian telecom and networking providers and vendors and will undertake research projects defined jointly with these partners. The program will prepare graduates to […]

Read More
A Novel Passive Wireless Printed Circuit Board Cavity Sensor for the Measurement of Electric and Magnetic Fields

Increasing demand for more reliable electric power requires advanced monitoring systems that prevent equipment failure and outages. The existing technologies used for monitoring the voltage and the electric field in the vicinity of the high voltage devices are bulky and expensive. On the other hand, maintenance of the monitoring devices requires specific safety precautions. In […]

Read More
Accelerating Technical and Market Readiness of Solid-State Nanopores

Solid-state nanopores—small holes in thin membranes comparable in size to individual molecules—are promising candidates as sensors with which to revolutionize DNA sequencing, personalized medicine, point-of-care diagnostics, and next-generation information storage methods. A method by which these nanopores can be fabricated on an industrial scale was recently invented, but challenges remain, particularly in quality-controlling source materials […]

Read More
Seq2Hypergraph: Link prediction on knowledge graphs using relation conditioned Transformer Networks

Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing new modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through graph neural networks and transformer […]

Read More