We are creating a powerful tool for improvements in surgeries of the brain and spine. A new magnetic resonance imaging (MRI) machine will be used inside operating rooms so patients undergoing surgery can be imaged in the middle of the surgery for quality control. For instance, surgeons can obtain an MRI to ensure the entire […]

Marine Thinking aims at building a thriving business and using cutting edge AI technologies to transform the marine sector, starting in Atlantic Canada. The project is to develop advanced machine learning algorithms for the guidance, navigation and control unit of the USV, to have a safe navigation with hybrid path planning, obstacle avoidance, intelligent robust […]

Au cours de ce projet, nous souhaitons fermer des sacs en plastique utilisés pour l’industrie agroalimentaire et l’agriculture. Les problèmes principaux du sujet sont d’une part la méthode de fermeture, qui consiste à faire partiellement fondre la matière grâce à des ondes sonores à hautes fréquences transmisses précisément à la matière. Et d’autre part il […]

Le traitement des gliomes malins, dont le glioblastome, est un besoin médical non satisfait dont l’issue est normalement fatale, ce qui pose des défis majeurs pour la prise en charge clinique. Ce projet vise à démontrer que le modèle CAMAvatar, basé sur la membrane chorioallantoïdienne (CAM) d’embryons de poulet, est une technologie prometteuse dans l’identification […]

L’objectif du projet est de créer une antenne imprimée (microstrip) sur un substrat à déterminer. Cette antenne devra fonctionner sur une bande de fréquences précise (24.000 GHz à 24.500 GHz) et devra aussi éviter autant que possible de réféchir les signaux vers le générateur afin d’être efficace. Afin de bien répondre aux besoins de l’entreprise, […]

The Road Pavements are subjected to distress due to heavy traffic load and environmental factor and is a common cause of accidents resulting in loss of valuable life and economic losses. Regular monitoring and timely maintenance is the key to ensuring a healthy roadway infrastructure. Traditional methods of manual monitoring are time consuming, expensive and […]

A successful computer application can easily have millions of users, but handling the network traffic generated by millions of users is not easy. The server system has to be well designed in order to properly process large, concurrent, and distributed data streams without affecting user experience. In addition, users do not generate data constantly, they […]

This project will develop a robust software package that can be embedded with a camera system to provide an onboard sea-ice monitoring system. The software package consists of two main components: (1) Deep learning classification model, which involves a deep learning network trained to identify and classify sea-ice; (2) Lens artifact removal method, which is […]

Olfactometry is the science of using human subjects to measure odours without bias, as no instrument yet can replace the human nose. Recently, the method presenting odours to panellists has been identified as a potential element affecting response and measurement variability. Furthermore, the sensitivity of electronic noses also developed to measure odours remains an issue. […]

We are developing a robotic platform and agent that is able to translate instructions (e.g. “bring me the newspaper”) into a series of low-level programs (moving between rooms, locating objects, interacting with objects) and executing these autonomously. Traditionally, in hierarchical reinforcement learning, tasks are executed sequentially, but we would like to focus on parallelization and […]

Next generation plant breeding requires bringing together many different types and sources of information about different plant varieties, including their genetic information together with how well they grow in different environments. The best ways to organize and integrate these sources of information within a plant breeding program is not well known. In this project, we […]

The certification of food products, their authenticity and origins has become a growing priority amongst consumers and producers. The differentiation of the different Canadian maple groves necessitates the development and implementation of forensic tools to link maple syrups to their corresponding terroir. Strontium (Sr) isotopes have shown to reflect the local geological conditions of the […]