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 […]

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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 […]

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Deep Learning for Automation of 3D Pore Analysis in Micro-CT Tomographs

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 […]

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Dynamic Trust Modeling in Federated Learning Through Balancing Utility and Privacy

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 […]

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The Impacts of Driver Monitoring Systems on Mitigating Drowsiness Due to Conditional Automation

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 […]

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Visuospatial memory in active vision

Eye movements and visuospatial memory constantly interact to shape an efficient representation of the world. The behavioral link between eye movements and holistic scene memory has been extensively demonstrated, yet it remains elusive how visual item memory dynamically unfolds in active vision. Understanding the interplay between eye movements and memory, and identifying its neural mechanisms, […]

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Russian usage of the AI technologies in the Invasion of Ukraine 2022-2024

The project is expected to deepen understanding of Artificial Intelligence in a modern Global Security context by analysing the practical implications of its usage by the Russian Federation in the full-scale invasion of Ukraine. The goal of the project is to create a comparative analysis and to reveal the difference or consistency within the declared […]

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Partnerships Empowering Canadian Innovation: Business Strategy Internships with the Cansbridge Fellowship

The “Partnerships Empowering Canadian Innovation” project, conducted under the Mitacs Business Strategy Internship program in collaboration with The Cansbridge Fellowship, aims to equip interns with the mindset and skillset necessary for success in the innovation economy. The project enables interns to identify strategic partnership opportunities with innovation organizations through industry-specific research, networking, and outreach. Throughout […]

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