Telemedicine systems can connect health practitioners and patients with specialists in geographically distant regions. Yet we still do not have a strong understanding of how such systems are used and how they support or impede the workflow of health professionals. This research explores how nurses, general practitioners, and specialists make use of telemedicine systems and […]

Les municipalités sont confrontées aux différents défis modernes liés à la vie en société. Afin de les aider à prendre des décisions éclairées, les décideurs disposent de plus en plus de données qui leur sont disponibles. Un problème important est que ces données proviennent de différentes sources et sont présentées dans différents formats. Cela rend […]

Le projet en développement consiste à créer un agent conversationnel intelligent destiné à soutenir les professionnels de la santé mentale dans leur pratique quotidienne. Cet outil novateur vise à faciliter le processus de diagnostic différentiel, une étape cruciale pour déterminer avec précision les troubles de santé mentale des patients. Grâce à une intelligence artificielle avancée, […]

The main aim of the project is to develop the characteristics of a Prosumer, i.e. a consumer that interacts on-line with a company providing useful and insightful comments on its products. Data from consumer interaction databases are will be analyzed using the tools of data mining in order to accomplish the goals of the project..

IP multimedia subsystem has been identified by mobile network operators as a promising framework for deploying VoLTE and rich communications services. Offering these services in efficient manner makes it even more attractive. Virtualization represents the suitable concept to achieve this. Moreover, deploying IMS in virtualized environment becomes a solution of great potential especially for multi-tenant […]

We aim to help law enforcement agencies tackle today’s most sophisticated crimes by enhancing their productivity, improving crime clearance rates, improve the success rate in speedy trials, and driving crime prevention through the power of AI-driven crime prediction.

Le projet, l’IA au service de la résilience des villes a pour objectif de mettre en place des outils d’IA éthiques et responsables permettant le diagnostic et l’amélioration de la résilience des villes québécoises face aux changements climatiques, économiques et sociales. Étant donnée que de nombreuses villes ne sont pas équipées en termes de ressources […]

The project entails exploring the use of Machine Learning (ML) techniques to assist in the training of air traffic controllers. The core goal is to train models that help predict if an instruction given by an air traffic controller may put an aircraft at risk of colliding with another aircraft during landing procedures.

Continuous Integration is a software development practice where each member of a team work independently and then merge their changes into a common codebase, at least daily. Each of these integrations is verified through an automated build pipeline, whick consists of a sequence of actions such as compilation, testing, addition of third-party components. The key […]

This research project will explore how advanced artificial intelligence technology, specifically large language models (LLMs), can improve the Mental Health Assessment Tool (MHAT) developed by Harrison Healthcare. MHAT is a secure online tool designed to help primary care doctors identify and diagnose mental health conditions based on structured questionnaires and clinical guidelines. The project will […]

Mental health professionals are evolving as they use a multitude of therapy modalities in every session. Already, therapists each have a different way of writing notes to each other, which becomes more complicated when applying a different set of modalities. This research will enable generating LLM case notes for therapists that are unique to their […]

This research aims to advance the field of federated learning by addressing privacy, domain shifts, and personalization challenges, particularly in the context of mobile and digital healthcare. By developing robust and scalable solutions, the proposed framework has the potential to significantly enhance patient care, diagnostics, and personalized treatment while maintaining stringent privacy standards