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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 […]

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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 […]

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 […]

We live in an age of distraction and mind-wandering, which has been broadly linked to greater levels of unhappiness, suggesting that many of us might benefit from mindfulness training that allows us to better control our attention. Interaxon Inc. has developed a potentially breakthrough solution to this problem in a device that measures brain activity […]

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This research proposal focuses on addressing the prevalent challenges associated with Proton Exchange Membrane Fuel Cells (PEMFCs), specifically targeting the reduction of greenhouse gas emissions. Despite significant advancements in performance and durability, particularly in automotive contexts, the high cost associated with essential materials for optimal functionality remains a formidable barrier. Notably, advancements in cathode gas […]

The surge in data-intensive machine learning (ML) applications necessitates effective incentives for data owners (DOs) to contribute data and train ML models collaboratively. The decision to participate in collaboration depends on the balance between utility gains and privacy loss. This project focuses on federated learning (FL), where DOs participate in collaborative learning without sharing raw […]

Driving automation is becoming increasingly available with the advancement in sensors and computational power. The next generation, i.e., conditional automation, allows drivers to engage in other activities like sleeping. If the system cannot operate in certain conditions due to limitations, the driver is required to takeover vehicle control. However, sleepy drivers might not be fit […]