Large Data Visualization in Real Time

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 […]

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Improved Deep Learning-based Sea-ice Monitoring System

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 […]

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lnfluence of odour presentation on panelist response variability

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. […]

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Mapping High-Level Workflows to Low-Level Robotic Actions

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 […]

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Development of a breeding database for the application of omics technologies in canola variety development

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 […]

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Authenticating the origin of maple syrups: A new tool based on the study of strontium (Sr) isotopes

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 […]

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Optimisation d’algorithme d’analyse d’empreintes offactives

Ce stage a comme objectif l’optimisation de l’algorithme d’analyse olfactive developpe par Odotech. Une expertise poussee du domaine des mathematiques et plus particulierement en statistique sont necessaires a ce stage. C’est dans cette optique, qu’Odotech a offert un stage a un etudiant a la maitrise en statistique du departement de mathematique de l’Universite de Montreal. […]

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Breath monitoring using optical microresonators

Optical sensors are revolutionizing the physiological measurements important for diagnostic purposes. For instance, we can now use optical methods to measure heart rate, blood oxygen saturation, and even blood pressure. Optical technology, in the form of optical microresonators that can trap light at a microscopic scale, can also be used to measure very small changes […]

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Navigating the unseen: developing robotic “Bee” vision

Support the deployment of a custom UV camera for field operation on a drone. The UV camera is specific to our research project and was already used for crop monitoring in a fixed setup. The drone to deploy the camera is designed and manufactured by a partner organization, which will provide all the required design […]

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Thales : Traitement des signaux sonar combinant l’analyse des signaux, la séparation des sources et l’apprentissage automatique.

Le traitement des signaux sous-marins est une tâche complexe et difficile dans le cadre des activités de renseignement et de guerre anti-sous-marine. Il demeure toujours difficile pour un opérateur de sonar de maitriser la complexité de l’analyse des signaux, essentiellement en raison du déluge d’informations diverses que ces systèmes fournissent. Le but de ce projet […]

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Bentley – Catégorisation sémantique et identification des sous-composants d’infrastructures civiles à partir de modèles 3D

De plus en plus de projets d’infrastructure sont réalisés entièrement par ordinateur. Bentley Systems développe plusieurs logiciels permettant la création, la revue et la visualisation de ces modèles 3D, sous forme de maillages (mesh) ou de modèles CAD/CAO. Bien que ces représentations offrent des possibilités inédites pour les experts, elles se révèlent difficiles à utiliser […]

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