Processus d’implantation d’AToM – prolongement

Le Centre d’archives régional de Portneuf (CARP) a pour mission de préserver et de faire connaître les archives liées à la région. En 2024, il a franchi une étape importante en se dotant d’une plateforme numérique (appelée AToM) pour mieux gérer, protéger et partager ses collections. Ce nouvel outil a nécessité une adaptation importante pour […]

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Applying Knowledge in Marine Planning

Átl’ka7tsem/Howe Sound is located just northwest of Vancouver, British Columbia, Canada. Historically the sound has been significantly impacted by human activities. Now it is experiencing ecological resurgence, and there is increasing interest in both greater understanding the sound and applying marine spatial planning (MSP). MSP allocates human activities in marine areas to achieve multiple objectives. […]

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Novel Machine Learning Visualization of Threat Analysis for Cybersecurity Operations

This project will combine graduate level research expertise with best-in-class managed detection and response security operations, to develop ‘collaborative intelligence’ oriented tooling, in order to support Security Operations Centre (SOC) personnel in rapidly assessing the threat potential of suspect command lines and similar text objects. From a recent analysis of SOC AI usage, it is […]

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SquawkBuster: Detecting Toxicity in Video-Game Voice Chat

The project aims to enhance toxic behavior detection in online multiplayer games through voice chat. While text-based detection models have advanced, voice chat presents unique challenges due to its complexity and resource demands; however, it offers valuable cues like tone and intonation. As such, the project seeks to develop multi-modal models combining voice and text […]

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Estimating Risk and Testing Based on Change for Assets, Visual Code, and Textual Code

Video games are complex data driven software systems. The data is the levels and objects inside of the levels. These objects are programmed using visual programming languages and textual programming languages. Current software engineering support for visual languages is in its infancy and the tools that software engineers rely upon are often not available in […]

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Privacy-Preserving Human Activity Recognition for Healthcare using Large Vision-Language Models

This project will develop privacy-preserving human activity recognition algorithms for healthcare, especially senior care and remote patient monitoring. We will develop algorithms in three areas: 1) Video-based high-performance and fast pose estimation algorithms running in the sensor. 2) Advanced stick-figure-based action recognition methods that run in the cloud. 3) Stick-figure-based large vision and language model […]

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Étude des facteurs limitant la performance d’un réflectomètre optique cohérent dans le domaine temporel (C-OTDR) et optimisation par traitement de signal

L’objectif du projet est d’innover dans la conception d’un C-OTDR (Coherent Optical Time Domain Reflectometer) et de trouver le meilleur compromis entre la performance et les coûts. Les C-OTDR sont utilisés dans des marchés niches tels que les applications de mesure sur les liens sous-marins ainsi que dans différents types de senseurs haut de gamme […]

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Innovative Patient Monitoring System: Integrating Affordable Load Sensors and Multi-Modal AI for Enhanced Care and Safety

Recent statistics in Canada highlight a growing aging population, with 18.8% aged 65 and older, projected to increase by 6.2% by 2036. Falls and pressure injuries (PI) are major concerns for seniors and hospitalized patients, contributing significantly to hospitalizations. About 20-30% of seniors experience falls annually, leading to 85% of senior injury-related hospitalizations. While various […]

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Refining and Launching a Digital Commons for the Canadian Humanities and Social Sciences to Facilitate Community-based Open Scholarship

The proposed project focuses on the research, analysis, and engagement of the Canadian Humanities and Social Sciences (HSS) Commons: an open, digital platform for research collaboration and sharing. This collaboration builds on Iter Canada’s investment in related work since 2008, extends previous Mitacs-funded work, and is undertaken by a multi-career level team. When complete, the […]

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Identifying the impact of social determinants of health on the incidence and outcomes associated with acute kidney injury using a machine learning approach

Acute kidney injury (AKI) is a syndrome which involves a sudden decrease in kidney function because of functional or structural impairment. It is a global issue and affects more than 7% of hospitalization in Canada. Unfortunately, although there has been improvement in the recognition and management of AKI, it continues to be a disease associated […]

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Query Optimization using Machine and Deep Learning

In this project we will investigate and develop novel techniques that employ Machine Learning (ML) and Deep Learning (DL) for the optimal execution of queries in a relational DBMS. The research will be conducted with close collaboration with the team of IBM that develops Db2, the well-known relational DBMS of IBM. The goal is to […]

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Restorative Sport Nova Scotia: Toward a Restorative Sport Ecosystem

This innovation project will design and incubate a provincial restorative approach to respond to complaints arising from maltreatment in sport and enhance provincial capacity to work in a human-centered way across sport to mitigate and prevent further maltreatment by building inclusive and healthy cultures. This shift in responding to harm in sport begins by acknowledging […]

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