Sparse array photodetector in multiplexed confocal FLIM

Confocal microscopy is a specialized imaging technique that is used by universities and pharmaceutical companies to perform drug discovery. The research team developed a multiplexing technique that can improve the imaging speed by 1000 times. In this project, the team will develop customized versions of the instrument with different cameras to cater to specific customer […]

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Development, optimization and production of fiber-based strain sensors for aerospace, automotive and health

The project will employ three undergraduate coop students and one post-doctoral fellow to work with the MesoMat team to improve the sensing capabilities of the fiber technology that has been developed at MesoMat and develop robust production methods. MesoMat has developed a fiber-based sensor manufactured from plastics and nanoparticles. These materials change their resistance when […]

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Signal in the network: Measuring public opinion without polls

The project objective is to develop a method for measuring public opinion using social media data. Presently the ability to derive externally valid inferences from social media data is impeded by issues such as sample bias and data structure. By applying recent innovations in machine learning to account for such issues, this project aims to […]

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Powder Functionality in Laser Powder-Bed Fusion of Ti-6Al-4V

This project aims at studying the powder characteristics in the laser powder-bed fusion of Ti-6Al-4V. As an additive manufacturing technique, the laser powder-bed fusion process produces metal objects layer-by-layer using a laser source. Ti-6Al-4V is being used in the aerospace industry because it offers high strength-to-weight ratio and outstanding corrosion resistance. This collaborative work between […]

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Post discharge after surgery Virtual Care with Remote Automated Monitoring technology (PVC-RAM) Trial

Patients discharged after undergoing non-elective (i.e., semi-urgent, urgent, or emergency) surgeries are at substantial risk, in the 30 days following surgery, of hospital re-admissions and presentation to emergency departments or urgent-care centres. The use of virtual care with remote automated monitoring (RAM) technology to monitor patients from their homes after surgery has the potential to […]

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Validation of a Computer Vision-Based Basketball Training Application

The proposed research project aims to advance the development of a novel basketball training application catered to youth basketball players. The prototype application designed by Pipeline Studios Ltd. uses machine learning to record and track youth basketball performance in a fun and entertaining atmosphere. The research project is designed to pair experts in human movement […]

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Climate Risk Valuation – Mapping climatology to macro-economic indicators

Climate change is one of the greatest challenge society has ever faced, with increasingly severe consequences for humanity. Climate change also creates risks to both the safety and soundness of the individual firms and to the stability of the financial system. This will be felt both in the cost of direct losses to climate events, […]

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Polymer Nanoparticle-Based Vaccines for COVID-19

The current COVID-19 pandemic urgently calls for vaccines able to be rolled out on a global scale. This proposal aims to develop nanoparticle-based vaccine delivery vehicles that can enhance vaccination programs by improving vaccine storage and transport without need for refrigeration, as well as enhance the actual performance of the antigen, a protein found on […]

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Preparation of Sentinel Wraps for Detection of Pathogens in Food Packages

The goal of this project is to develop and integrate the required technology to create food wrapping materials that can tell any untrained consumer if the food is safe to eat, without the need to use sophisticated equipment. This will be achieved by incorporating a barcode-type biosensor on an antifouling food wrap. The biosensor is […]

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