The widespread use of antimicrobial compounds in recent years has led to a pronounced increase in antimicrobial resistance (AMR) in bacteria. These resistant organisms require increased doses of strong antibiotics for prolonged periods for effective treatment. This is such a significant problem that the world health organization has put in place a global action plan […]

The Internet of things is a global infrastructure that enables advanced services by interconnecting physical and virtual things like smartphones, sensors, computers, machines or buildings. These devices typically create enormous amounts of data that can be used to create business value. Mnubo offers a software dubbed Smart Objects that is a comprehensive, full stack IoT […]

Afin d’opérer sa séparation de facto avec la République de Moldova en 1992 et l’établissement de son « État », la Transnistrie – ou République moldave du Dniester – conçoit depuis maintenant près de 30 ans plusieurs politiques de construction de l’État, de l’identité et de légitimation. Les récents développements d’une industrie touristique transnistrienne autonome […]

Ce projet vise à développer un système d’entraînement vocal virtuel offrant un support à domicile pour les personnes présentant un trouble de la voix. La première étape des efforts de notre équipe de recherche vise à mieux comprendre les éléments thérapeutiques en TV afin de développer une entraîneur vocal virtuel. Lors de ce projet, nous […]

This project involves the design and characterization of Novel Thermal Storage Materials for Human Thermoregulation involving low-melting polymers in a highly crystalline polymer matrix. These materials when incorporated into fibers or coated on fabric can absorb excess body heat in hot weather thus promoting thermal comfort and reducing heat stress. This 4-month project will involve […]

Hydro-Québec has data acquisition systems for a multitude of sensors, some of which have been installed since almost 20 years in its electrical generation equipment (turbine-generator units – TGU). The collected data is primarily used to ensure that the information is adequate in the event of an equipment breakdown or for specific behavioral studies. Data […]

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly […]

Brain MRI scans are a critical component in the diagnosis of neurodegenerative disorders. However, there is a wide diversity in terms of the image quality and resolution obtained from different MRI scanner. In particular, it is common to find coarse resolution MRI scans (e.g. every axial slice is 3-5 mm thick), which limit the type […]

Machine-transcription of speech into text is very helpful in many scenarios. Consider the case of machine-transcription of conversation between a Doctor and a patient. If we are able partition and identify the segments of patient’s speech from those of doctor’s, then the transcribed text is more structured and can be more helpful for further use. […]

The main duty of Hydro-Québec is to repond efficiently to the energy demand of customers, in a safe and secure way while remaining competitive in the markets as well. The main goal of this start-up project is to support Hydro-Québec in developing a future-oriented energy system by proposing innovative technical solutions. Among these solutions, deep […]

Hydro-Québec is a public utility that generates and distributes electricity. Despite selling most of its electricity in Québec, its most lucrative sales are in the neighboring markets. To ensure the best possible quality of service, the transmission system must remain stable, but to maximize profits, the company also wants to increase its transmission capacity to […]

ClosedLoop.ai is an AI-based predictive analytics platform that goes beyond traditional claims-based risk scores to use all patient-related healthcare data to provide both clinicians and care managers with a full breadth of timely, transparent and accurate predictions of health outcomes. ClosedLoop.ai helps value-based providers confidently answer a variety of health-care questions like, which patients are […]