Ce projet vise à améliorer les systèmes de communication et de contrôle utilisés dans les vélos électriques afin de les rendre plus fiables, sécuritaires et performants. Le stage permettra d’analyser le fonctionnement des communications embarquées existantes et de définir une architecture technique claire pour un futur module de communication. Les résultats contribueront au développement de […]

This project investigates the design and evaluation of voice-first and multimodal interaction patterns for clinical AI systems. Through human-centred design research and clinician usability testing, the project aims to develop validated interaction models that support safe, trustworthy, and workflow-aligned use of AI in healthcare settings.

Ce projet d’innovation vise à développer un module d’intelligence artificielle capable de détecter et classer automatiquement les émotions dans des conversations, afin d’améliorer une plateforme canadienne de simulation pour la formation en criminologie. Le ou la stagiaire concevra et validera un système qui analyse les échanges textuels entre un apprenant et des agents conversationnels (témoin, […]

This project will focus on the development of a set of quantum computational algorithms/routines for quantum crystallography [1-3] — a field which merges quantum chemistry electronic structure modelling and crystal structure optimization based on information derived from experimental x-ray scattering data. The aim is to look for quantum computational advantage and/or utility for optimizing crystal […]

This project will examine whether personalized, AI-generated stories in the StoryMii app can help children who have both ADHD and reading difficulties learn new words, comprehend stories, and stay engaged with reading. Children with these challenges often have trouble sustaining attention and decoding letters, so generic texts often cannot keep them engaged long enough to […]

This project develops a dynamic, self-learning wildfire evacuation routing system designed to improve public safety during fast-moving wildfire events. Traditional routing methods can identify effective paths but often fail to adapt quickly to rapidly changing fire behaviour and real-world driver responses. To address these limitations, the project introduces a Deep Reinforcement Learning (RL) framework in […]

Michelin North America (Canada) Inc. is interested in understanding the reasons behind the underrepresentation of women in its Nova Scotia manufacturing workforce. Female representation in its workforce remains disproportionately low at approximately 15%, compared to a gender balance rate of staff recruitment at approx. 36%. Despite Michelin’s reputation for competitive wages, benefits, and career development, […]

Increasingly, agrifood processors demand verifiable evidence of sustainable farming practices through producers’ use of best management practices (BMPs) to meet corporate Sustainable Development Goals (SDGs). Food processors also encourage producers to reduce the carbon footprint of crops sold to prairie agricultural processors to meet the same SDGs. Producers, therefore, need to demonstrate the impact of […]

The research project’s goal is to quantify the societal services that nature preserves provide relative to biological richness. In other terms, the value of a historically biodiverse green space in a city compared to a standard novel green space to people (Indigenous and non-Indigenous). The preserve in my study encompasses endangered grassland habitat (Garry Oak […]

TxtSquad will develop an AI-driven intake and screening system that begins over SMS and continues in a secure web portal. Patients can upload documents and describe their symptoms, which are processed using OCR and AI to generate structured, FHIR-compatible records for EMR integration. The project will reduce administrative effort and improve intake quality for healthcare […]

This project will help a mining company turn its scattered data—reports, manuals, work orders, and sensor readings—into a smart, searchable “knowledge library.” Using large language models (LLMs), such as GPT, the intern will design a simple map of key mining concepts (equipment, events, hazards, procedures), automatically pull important facts from documents and charts, and build […]

This project will extend the functionality of FloatVR, a VR mental health application for the Meta Quest. The project includes upgrading our analytics platform, extending our loading system and building a generic tagging system to modularize functionality. We would also like to build a simple area sequencer for users. These upgrades will enhance our ability […]