Artificial Intelligence for Improved Dosimetric Calculation in Radiotherapy

Cancer treatment by radiotherapy (RT) is essential yet complex, requiring precise radiation doses to effectively target tumors while sparing healthy tissues. This project addresses the frequent challenge of dose discrepancies-differences between the planned and delivered doses-due to factors such as patient anatomy, organ movement, and equipment variability. These inconsistencies can lead to increased toxicity or […]

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Levels and Patterns of Physical Activity and Sleep in people with COMISA Versus Age- and Sex-Matched Insomniacs and Good Sleepers

Obstructive sleep apnea (OSA) and chronic insomnia have each been associated with decreased levels of physical activity (PA). In turn, insufficient PA can lead to poorer sleep. For people with both OSA and insomnia – a combination called COMISA – guidelines recommend continuous positive airway pressure (CPAP) for OSA and cognitive behavioural therapy for insomnia […]

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Metalic organic frameworks for use in DAC

Research of metalic organic frameworks (MOFs) in direct air capture application. MOFs are a class of porous materials, often crystalline in nature, that are made of inorganic nodes bridged by organic linkers. MOFs are highly tunable porous materials, and the metal nodes can be metal ions, chains, or clusters. Given that MOFs can be constructed […]

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Does Positive Feedback Spur Innovation? Insights into Firms’ Explorative Technology Development

Since prior research on performance feedback has primarily focused on the effects of underperformance, our understanding of the mechanisms through which positive performance feedback affects firm innovation is relatively limited. To address this gap, we will explore why, how, and when positive performance feedback spurs firm innovation and technological development. Drawing on previous studies on […]

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Terramechanics based Traction Prediction for Lunar Rover by High-Speed Granular Scaling Law

The development of lunar rovers requires research in terramechanics to understand the interactions between wheels and loose terrain. While extensive terramechanics research has been conducted on Earth, few studies have focused on adapting these findings to the Moon’s different gravity environment. This project will focus on the Granular Scaling Law (GSL), a recently utilized mechanical […]

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Graph Kolmogorov-Arnold Networks for Anomaly Detection

The proposed project aims to develop a new method for finding unusual patterns in data represented as graphs, such as social networks, communication networks, or financial transactions. We proposed a novel method Graph Kolmogorov-Arnold Networks(G-KANs) to improve how we detect anomalies, which are important for identifying security threats or fraudulent activities. This project will help […]

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Functional correlates of central disorders of hypersomnia: a global multi-cohort analysis

The proposed project aims to identify functional brain differences between people with different types of central disorders of hypersomnolence (narcolepsy type 1, narcolepsy type 2, and idiopathic hypersomnia) By combining data from over 1,800 participants from research sites across 21 countries, the project will reveal key brain differences that enhance our understanding of the underlying […]

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Modèle de mélange avec noyaux pour la classification des données de grande dimension

Les données qu’on rencontre aujourd’hui sont souvent de grande dimension. Avec les données génétiques, les signaux et les images, des méthodes d’analyse qui tiennent compte de la taille des données est plus que jamais nécessaire. Chez Hydro-Québec, une nouvelle méthode de surveillance des équipements électriques a été développée, qui fait appel à la théorie de […]

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HomeGuard: A Smart Gateway to Protect Smart Home Networks

In this project, the intern student is expected to develop develop a data collection tool that can collect data traffic from IoT devices and label them accordingly. The intern student will then use the tool to collect and label traffic from over 100 IoT devices.

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An Analytical Model of Thickness and Flatness Estimation for Tailor Rolled Blanks

Rolling is an important process in metal forming. Through the rolling process, metal billets are turned into sheets or strips for use or further processing. Due to worsening global environmental conditions and higher demands for industrial products, lightweight design has become a trend in fields like automotive and aerospace. Traditional rolled metal sheets and strips […]

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