Ce projet a comme objectif d’améliorer les outils de monitoring dont dispose le médecin lorsqu’il administre une anesthésie générale à un patient. Nous analyserons l’ensemble des informations disponibles pour prédire l’évolution de la tension artérielle dans le temps. Nous savons que de brèves périodes d’hypotension est délétère pour le patient et augmente son risque de […]

Deep learning has the potential to increase efficiency of many routine tasks in medical image analysis. For instance, segmentation, the detection of the boundaries of specific target structures like organs or tumors, is a tedious and time-consuming chore for clinicians. Robust deep learning models could assist medical personnel for this type of task. However, automatic […]

Optimizing energy consumption of Artificial Intelligence of Things (AIoT) devices is mandatory and challenging. Energy Harvesting (EH) from RF, solar, thermal, wind, and kinetic energy sources can be a good substitute for traditional batteries. EH is expected to have abundant applications in future AIoT and self-powered micro-systems such as wireless sensor networks and wearable devices. […]

In the game industry, software projects extend over several years: for instance, a typical AAA game is developed for 3 to 5 years. To make the development process easier for the developers, tools are put at their disposal to help with, for instance, the artistic creation process or code integration. Those tools are based on […]

Dans ce projet, nous nous proposons de développer un modèle de simulation qui vise à analyser le flux des patients aux urgences, particulièrement le temps d’attente. Cet outil permettra aux responsables de la coordination du CHUM d’être proactifs dans la gestion des urgences. Il leur servira entre autres à comprendre le comportement du système, identifier […]

The project aims at developing a new type of Reinforcement Learning algorithm that would allow to retain more control over the artificial agent once its training is completed. This framework would combine modern unsupervised modeling techniques to capture the variability of a set of demonstrations and user-defined programmatic functions that can characterise particularly important factors […]

Quantum Computing has the potential to tackle problems, unsolvable with the most powerful current high-performance machines. It is expected that quantum technology will enable life-changing discovery in the pharmaceutical industry with new drugs, finance for risk minimization, discovering new materials, clean energy, and more. Today, many different architectural solutions exist for quantum computing – photonic, […]

This project aims at developing an automated system for water sampling along the coast of Nova Scotia using a swarm of flying robots. Currently, water is sampled by hand by teams of 2-5 people each on a number of boats, that must regularly travel to different sites, collect samples, and bring them to land for […]

Avionics on modern aircraft are becoming complex computer systems supported by increasingly sophisticated software. These systems often require software upgrades that are performed during aircraft maintenance on the ground. In order to ensure the integrity of software upgrades and database updates, digital signature of the corresponding data files has been used as means to prevent […]

Les projet se veut une exploration des données historiques. L’objet de la recherche est de valoriser les données de profil des patients, de consultation, de prescription et de facturation. Les données considérées sont volumineuses et complexes, elles évoluent dans le temps, avec des paramètres fixes et d’autres variables. À terme, la valorisation des données disponibles […]

Le Comité tactique en intelligence augmentée du Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CHUM) mène de front des projets pour activer et concrétiser les principes d’innovation et d’intelligence artificielle (IA) responsables en actions afin de faciliter l’adoption des projets innovants en IA au CHUM. En réponse à la crise pandémique de […]

Ce projet vise à produire des connaissances et méthodes nouvelles en biomécanique et en ergonomie occupationnelle qui vont permettre d’augmenter les capacités du logiciel Ergonomic Workplace Designer (EWD), dont une première version sera mise en marché par Dassault systèmes au cours de l’année 2021. Ce logiciel d’ergonomie virtuelle est destiné aux concepteurs de systèmes de […]