Enhancing Wellbeing Insights: Integrating Passive Data and Advanced Psychometric Models in Mobile Health Applications

The proposed project aims to enhance UpBeing’s social wellness app by refining its wellbeing measurement model to include new check-in items and passive data sources, such as data from wearable devices and calendars. This project will improve the app’s accuracy in measuring users’ mental wellbeing and provide more comprehensive and actionable insights. The expected benefit […]

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Pre-design Roadmap for Highly Complex Urban Development with The Bentway Conservancy

This architectural and urban design proposal is a collaboration with The Bentway, to investigate the significance of place and civic identity at the intersection of radical accessibility and inclusion, social and environmental resilience, and dynamic multi-functional infrastructure to advance the Under Gardiner Public Realm Plan. The Bentway leads a creative movement to re-imagine the hybrid […]

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Data science to deliver more results with greater speed and accuracy

Happly is currently addressing a pressing issue regarding the optimization of its backend operations to enhance support for startups and entrepreneurs. The overarching goal of this project is to bolster Happly’s capabilities through data science and AI, thereby enabling startups to receive customized recommendations and refined funding strategies. The intern will play a pivotal role […]

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Informing Customized Responsible Gambling Messaging

This research will investigate Responsible Gambling (RG) messaging. Specifically, the research will examine which RG messages are more effective and which populations respond better to certain kinds of message. This information will be used to create RG messaging that meets the needs of the diverse casino patronage.

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Exploring Quantum Materials with Atomic Resolution within the 2D MATURE International Program

Our group develops advanced tools that allow us to observe and understand materials operating within the realm of quantum physics, particularly those that emit light at the smallest scales. Quantum materials, often regarded as the superheroes of the science world, possess unique properties that can revolutionize technology—from ultra-fast computers to highly secure communication systems. To […]

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Development of an Inline Testing Method for Resistance Spot Riveting

Dissimilar-material joining is becoming increasingly sought after in several industries – including automotive, aerospace, and rail – due to the potential to improve vehicle weight reduction and efficiency while maintaining safety and structural strength. Resistance Spot Riveting (RSRTM) is a novel joining technology designed to enable inexpensive, efficient, and effective dissimilar-material joining. As it stands, […]

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Development of surrogate model platform to quantify the impact of design decisions on energy consumption, peak demand, and greenhouse gas emissions for buildings in North America

Canada aims to significantly reduce greenhouse gas emissions by 2030 and achieve net-zero emissions by 2050. Buildings play a big role in this effort, so this research focuses on developing a tool to design and retrofit buildings for greater energy efficiency and sustainability. Using advanced computer models and data from building simulations, this tool predicts […]

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Development of a robust, low-complexity infant cry classification system

This proposal aims to develop a robust, low complexity infant cry deep learning classification based on various babies’ responses to physiological needs such as hunger or to discomfort and pain. The significance of this research lies in its potential to enhance early detection of needs and moods in newborns, contributing to improved infant care, early […]

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Optical diagnostics for probabilistic quantification of defects in functionalized 2D nanomaterials

This project aims to quantify defects in the probability framework for 2-dimensional (2D) materials with superior performance using optical techniques, primarily focusing on molybdenum disulfide (MoS2). Additionally, defects are an important factor influencing the performance of single-photon emitters (SPEs), a type of quantum device. This project will directly relate the SPE performance with defect concentration. […]

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