Evaluating Algorithmic Prediction of Emotion in Music

Algorithms play an increasingly important role in our interactions with digital services. Companies like Spotify and Pandora use algorithms to identify mood-relevant music from massive databases of over 100 million tracks and deliver them to users through personalized playlists. To achieve this, they rely on software tools to analyze relevant musical properties—like timing (slow–fast), intensity […]

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L2M – AI-MD Validation Proposal

AI-MD is an AI-driven symptom checker that allows people to monitor their health and scan their body for suspected illness and disease. Millions of people are using symptom checkers online every month that only allow them to describe thier symptom information using text or checking off boxes. Not only are these tools not accurate, but […]

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Humanitarian ethical exit: Development of an ethical response closure tool for Canadian Red Cross

Important challenges remain around planning an ethical, justified, and accountable strategy for transitioning from emergency to long-term planning or closure of programs. Canadian Red Cross (CRC) aims to develop a practical guidance tool for closing humanitarian programs that will combine established operational practices with evidence based ethical considerations. This research will be qualitative in design […]

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Disaster Management and Informal Settlements in India

The most recent flood in Ahmedabad, India occurred in September 2013, when 50,000 people were displaced from low lying areas of the state. The World Bank report warns that the poor living in informal settlements, such as coastal slums in India, are the most likely to be killed or harmed by extreme weather linked to […]

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Computation of inverted singlet-triplet energy gaps by machine learning enhanced computational chemistry methodologies

Ce projet est axé sur l’amélioration de la conception des matériaux, en particulier pour des applications telles que les diodes électroluminescentes organiques (OLED). Des modèles d’apprentissage automatique modernes et des méthodologies spécialisées en chimie quantique sont utilisés pour enquêter systématiquement sur ces matériaux. L’initiative consiste à établir un ensemble de données complet issu d’une sélection […]

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L2M – Strategic Development of Protease-Resistant ADAMTS13 as a Therapeutic for Cardiovascular Disorders and Sepsis

This project aims to develop a novel therapeutic drug aimed at revolutionizing the treatment of severe cardiovascular diseases (CVD) and sepsis. Our project focuses on the modification of the ADAMTS13 protein, an enzyme that plays a crucial role in the blood clotting process. In patients with severe CVD or sepsis, ADAMTS13 is rapidly degraded, leading […]

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L2M- Neuromod, non-invasive brain stimulation and augmented reality sensorimotor training to treat chronic musculoskeletal pain

Neuromod is a revolutionary pain treatment designed to help improve the quality of life of the ~4 million Canadians living with chronic musculoskeletal (MSK) pain. Chronic MSK pain represents a major healthcare challenge due to the severity of pain, its impact on the individual, family, and Canadian Healthcare system. Current therapies for chronic MSK pain […]

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Developing Correlative Microscopy Workflows in Metallurgy

Understanding the performance of metals is related to its structure at many different length scales, from the atomic level all the way up to the macro-sized object. Being able to knit these length scales together for their chemistry, microstructure and defect structure is critical to deisgning new parts for high performance applications, sch as power […]

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Neutronics simulation on the McMaster Nuclear Reactor (MNR)

This research will develop and test new software tools in reactor physics (openMC) for neutronic calculations. It involves development/extension of the existing McMaster Nuclear Reactor (MNR) core physics models in the openMC code and benchmarking against existing results obtained with other tools. Once benchmarked the student will perform a serries of simulations to mimic the […]

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