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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Our galaxy the Milky Way and our orbiting companion Andromeda are the dominant members of a small collection of galaxies, the Local Group, which is about 3 million light years across. Recently, it was recognized that the Local Group is simply a mass concentration in a thin “Local Sheet” of galaxies spanning 35 million light […]

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 […]

This research focuses on the development of machine learning and natural language processing techniques for automated textual dialog systems called chatbots. More specifically, we will develop algorithms to allow chatbots to adapt to new topics and concepts in open ended domains. We will also develop algorithms to recognize the emotions of users through their text […]

Deep Reinforcement Learning (DRL) for robotic grasping has been actively studied in recent years. Each DRL needs a reward function to interact with its environment and figure out how desirable or suitable the actions it takes in each state are. The reward formulation of DRL is usually a linear summation of the reward components, which […]

The Proposal is about centralizing the reporting system an organization having a number of properties distributed in different regions of Canada. Daily revenue report is created at each property at the end of the day and sent to the owner. The owner has to go through a number of reports for getting an accurate view […]