The primary objective of the Globalink research project is to develop and implement advanced techniques for the detection of energetic electrons in silicon detectors, with a focus on overcoming the limitations of traditional detection methods and mitigating radiation damage. We will try to investigate whether laser annealing and pixel migration techniques can effectively mitigate radiation […]

This research improves atopic dermatitis (AD) detection, a common type of eczema, which affects about 20% of Canadians. AD causes dry and inflamed skin due to a lack of a key protein, making the skin barrier less effective against moisture loss and allergens. Current treatments like moisturizers and steroids can have side effects, and diagnosing […]

Two-dimensional (2D) semiconductor materials are materials with thickness on the atomic scale that provide unique properties compared to their 3D counterparts. One important property of semiconductors is their band gap, which dictates how the semiconductor material will behave. However, manufacturing and testing 2D semiconductors can be costly and difficult, so the ability to predict the […]

This research project aims to significantly improve the way data are managed in a specific self-driving laboratory in the AUTODIAL group of Prof. Hattrick-Simpers at the University of Toronto, focusing on discovering new materials that are resistant to corrosion. This class of labs, known as Self-driving labs (SDL) or Materials Acceleration Platforms (MAPs), use advanced […]

About 8.8% of people in Canada are 65 years or older, and this number is expected to rise by 6.2% by 2036. As people get older, they become more likely to develop pressure injuries (PI) due to changes in nutrition, mobility, and skin health. In healthcare settings, patients at risk of PIs need to change […]

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, […]

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 […]

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 […]

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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 […]

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 […]

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 […]