To be safe and efficient, autonomous robots will need to consider and understand one another when performing their respective tasks. Communication and joint planning between robots might not be possible due to the number of robots, adversarial behaviors, or the lack of common protocol. In this project, we start by tackling this large issue at […]

Le transport adapté des personnes ayant des besoins particuliers est une activité qui demande des outils et méthodes de planification différents du transport collectif régulier. Dans ce projet, nous proposons trois éléments : 1) des modèles de prévision de la demande de transport adapté à court et moyen terme, 2) un outil de planification permettant […]

La planification de la réfection d’un navire est une tâche difficile qui requiert un effort considérable en termes de ressources qu’il faut gérer. Elle comprend plusieurs centaines d’activités d’inspection, de désassemblage, de réparation, de remplacement, de reconversion, de modernisation et de réassemblage. De plus, il faut prendre en compte les contraintes d’espace qui limitent le […]

Fluidized bed reactors are related to different industrial applications such as petroleum process, synthesis of chemicals, waste treatment and coating of solid particles. Engineers select fluidized beds for catalytic reaction that are highly exothermic, endothermic or explosive. Scale up and back mixing of the gas are the main challenge of this type of reactor. Residence […]

Modern software organizations use continuous integration (CI) practices to build and test their products after each code change in order to detect quality issues as soon as possible. Unfortunately, the number of builds scales super-linearly with the number of hardware and feature configurations that should be supported. In order to avoid running out of build […]

In this project we aim to develop a computer software system that is capable of predicting anomalies in membrane cell electrolyzers before they arise. It will closely monitor the electrolyzers’ operating condition and identify the hints that suggest that a failure is coming down the line. We will then notify the plant operators, so they […]

Caused by planktonic and biofilm drug-resistant bacteria on implants, periprosthetic joint infections (PJI) is one of the most devastating complication in orthopedics and is in line with forecasted rise in joint replacement. From the perspectives of patients, surgeons, hospitals, and health care system, PJI thus present a great unmet medical need, resulting in high morbidity, […]

Technologies using vocal commands are very useful in situations where hands cannot be used (e.g. wearing gloves or in factory settings to operate complex machines). The performance of automatic speech recognition systems decreases significantly in the presence of noise or reverberation (i.e. echoes on objects and walls). This projects aims at improving the performance of […]

Study of the core of ancient mountain belts is key to the understanding of current tectonic processes. In Canada and Sweden, the Grenvillian and Sveconorwegian orogenies are the relict of a major tectonic event, similar to the continent-continent collision between India and Eurasia. In both locations, a major tectonic boundary i.e. the Allochthonous Boundary Thrust […]

Magnetic Resonance Imaging (MRI) is the non-invasive method of choice for diagnosing and studying neurodegenerative diseases such as multiple sclerosis (MS). However, conventional MRI that is currently used in clinics cannot provide a reliable measure of neuronal health. More specifically, it cannot distinguish healthy from diseased myelin, a key component of neuronal tissue that is […]

L’un des défis majeurs dans le domaine de l’intelligence artificielle est la disponibilité de larges banques de données utilisables pour entraîner les différents types de modèles. Les « Generative Aversarial Networks » (GANs) sont des algorithmes d’intelligence artificielle récemment développés qui permettent de générer des exemples échantillons d’apprentissage pour divers algorithmes d’intelligence artificielle dans des […]

La rotation de personnel est un problème majeur dans l’industrie des soins de santé à domicile. Dans un contexte où le travail des intervenants est particulièrement basé sur une relation de confiance avec les patients, la prévention de la rotation est déterminante pour le continuum et la qualité des soins prodigués. Perdre un infirmier ou […]