Optimizing Lightstage Capture for High Fidelity 3D Facial Reconstruction

Ubisoft is one of the world’s largest video game studios, specializing in 3D open-world games that require precise 3D character representations. In particular, achieving high-quality facial features is crucial, as humans are highly sensitive to small details in facial expressions. Currently, creating 3D facial representations first requires a Lightstage capture pipeline. This process begins with […]

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A Risk-Based Continuous Authentication Engine Using a Probabilistic Model around Behavioral Biometrics

Traditional static authentication systems have a fundamental deficiency; it assumes the presence of the validated user through the length of the session. Continuous authentication algorithms periodically validate the identity of a user during the entire session. It relies on information that can be automatically extracted from the user such as biometrics and behavior patterns. A […]

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Improving Patient Compass

Healthcare is in the midst of a digital transformation taking advantage of AI technology, although integration has been slow due to concerns about privacy, issues with workflows, and keeping patients engaged. There’s a need for well-designed AI that automates tasks and keeps patients engaged. Health Compass is an AI tool that helps healthcare by taking […]

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L2M QC Spring 2025 | Personalized Daily Rhythm Optimizer (Technohealth): Using wearable sensor data to detect an individual’s biological clock and optimize daily schedules for peak mental performance, relaxation, and recovery.

Canada’s healthcare system is facing growing challenges, including rising costs, overworked providers, and limited access to preventive care. At the same time, mental health disorders and chronic diseases are increasing, often linked to disrupted sleep and daily activity patterns. Despite their impact, these disruptions are difficult to track because they rely on self-reports, occasional doctor […]

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L2M QC Spring 2025 | PROSHIELD – Proactive AI Cybersecurity Defense Platform

In light of the recent concerning growth of cyberattacks in pace, scale, and sophistication empowered by contemporary Artificial Intelligence (AI) techniques with multiple complex hacking and penetration tools, Small and Medium Businesses (SMBs) suffer continuous and serious technical, financial, and societal hits as severe damages of these attacks. This surge in cyberattacks boosted by AI […]

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Operational and Strategic Plan Development of an Accelerator in the Technological Innovation for Health Care sector1.3. Academic Discipline:[ Y ]Business

The proposed project is to research the steps needed to take in order to build and sustain an accelerator/incubator in the health care sector, which will provide core processes and steps to the partner organization. The following steps would be undertaken: o Analysis of other successful incubators/accelerators in the health care space. o Partnership wish […]

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Developing AI Models for Instrument-Tissue Force Prediction in Neurosurgery

This project aims to explore whether brain tissue deformation, observed through a surgical microscope, can be used to estimate instrument-brain contact forces during epilepsy surgery. Two interns will work on key aspects: one will develop computer vision techniques to track tissue deformations in real time, while the other will create machine learning models to translate […]

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Portrait stylization

This project explores how AI can create expressive, stylized portraits while keeping a person’s identity and emotions intact. By developing advanced AI models, it will help artists, enhance digital content creation, and support industries like entertainment, advertising, and cultural heritage. The technology can be used in museums for interactive exhibits, in film and gaming for […]

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