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Toronto Metropolitan University
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Displaying 1 - 9 of 18
2026
This research develops nanobubble-enhanced ultrasound imaging as an accessible alternative to MRI for cancer diagnosis. Tiny gas-filled nanoparticles amplify ultrasound signals and improve image quality, particularly in prostate cancer. The…
2026
Humans can track about four moving objects at once using mental pointers known as “fingers of instantiation.” Laboratory experiments show these pointers help both track objects and guide actions. When attention shifts to new objects, performance…
2026
This research develops a distributed multi-robot task allocation framework that enables autonomous robots to estimate tasks, share information, coordinate assignments, and avoid collisions without relying on a central server. The approach improves…
2026
This research investigates how the shape, size, and surface chemistry of carbon nanomaterials influence their ability to remove contaminants from complex wastewater. By systematically testing nanomaterial variations against pollutants such as…
2026
This research uses machine learning, data mining, and optimization techniques to identify hidden relationships between products in retail shopping baskets. By analyzing over two million transactions, it predicts how promotions affect demand across…
2026
This study examines the relationship between sexual position discordance, sexualized substance use, and sexual satisfaction among nearly 2,000 sexual minority men in Canada. While discordance between preferences and behaviors was common and not…
2026
This thesis examines the relationship between architecture and domestic violence, arguing that traditional ideas of home and privacy can obscure experiences of abuse. It proposes a memorial in Toronto that combines remembrance, advocacy, and…
2026
This research explores the untapped potential of locally produced Ontario wool. By processing raw fleece into textiles and studying the characteristics of different sheep breeds, the project highlights how valuable, sustainable materials are being…
2026
This research combines CT and MRI brain imaging using machine learning to detect stroke risk markers more quickly. By translating fast CT scans into MRI-level insights, clinicians may identify dangerous intraplaque hemorrhages earlier, improving…