Enhancing EEG Data Analysis and Brain Health monitoring through Self-Supervised Learning and Corticothalamic Modeling

Sleep is a central function of many species, and is studied widely in neurophysiology and computational neuroscience, yet its underlying mechanisms remain elusive. The common method for recording brain activity during sleep is polysomnography (PSG) which is expensive to operate and can prove to be heavy and bothersome for the recording subjects. In recent years, […]

Read More
Evaluation of pharmacist’s prescription of topical skin medications.

A new minor ailment prescribing service was recently launched in Ontario community pharmacies to relieve healthcare system strain. Five of the nineteen minor ailments are skin-related. Importantly, prescriptions for topical skin disease treatment vary widely and constitute a major reason for visits to primary care. Quality prescribing in this area improves outcomes and reduces healthcare […]

Read More
Low cost air quality sensor measurements in indoor environments

Time spent in homes and in transport micro-environments contribute significantly the exposure to air pollutants. Air quality is significantly impacted by the increased green house gas emissions and effects of climate change. However, concentrations in many of these are poorly quantified and challenging to monitor due to limited space, power and Wifi accessibility. This project […]

Read More
See One, Do One, Teach One…Value One: Integration of Artificial Intelligence in Encounter-Based Evaluation Application to Help Teaching Be More Valued

The goal of this project is to incorporate AI to complement and upgrade existing functions in myTE. We plan to invest in 3 features: thematic analysis, data interaction and web analytics. In our current version, myTE compiles all comments in learners’ feedback and presents them in their original form to the users. Using AI, the […]

Read More
AI-Driven Carotid Ultrasound Advancements: Redefining Stroke Risk Assessment in 3D

Stroke, a leading global cause of death and disability, often results from the rupture of dangerous fatty deposits, known as plaques, in the neck arteries. The current method of assessing stroke risk using 2D ultrasound is limited by operator dependency and lacks a 3D structure assessment, leading to misdiagnoses and re-scans. Our project aims to […]

Read More
Expressive Speech-to-Face

This project aims to enable controllable generation of expressive, speech-driven facial animation in video games and multimedia. Current methods use procedural tools to animate mouth movements given speech clips, but they lack realism. This research proposes to develop a new approach for controllable speech-driven facial animations, combining the realism of recent mesh deformation methods with […]

Read More
Exploring music aid verbal learning and brain plasticity in individuals at risk of developing Alzheimer’s disease

The proposed project aims to investigate the effectiveness of using music-based interventions (MBIs) to enhance memory and cognitive function in individuals with mild cognitive impairment (MCI), particularly Mandarin Chinese-speaking individuals. The project involves two main objectives: a behavioral study to assess the impact of music-assisted verbal learning on memory recall, and an fMRI study to […]

Read More
Design of a robust, low-power gateway for LoRa Mesh Networks

With the escalating demand for sustainability and climate monitoring, LoRa mesh networks have proven instrumental in large-scale environmental monitoring. Serving as the final link in a mesh network, gateways play a critical role by gathering measurements from each sensor and transmitting them to the internet. The performance of gateways is crucial to the efficacy of […]

Read More