High-threshold photonic quantum computing

Today, quantum computers of any architecture still operate in the noisy intermediate-scale quantum (NISQ) regime, with systems composed of tens to hundreds of noisy qubits that are not protected from errors. To meaningfully solve challenging problems from industries using quantum computers, we need to make a system that is large enough in scale and robust […]

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Image processing and machine learning for equine image analysis

Inspired by the success of deep learning approaches in human biomedical applications, applying deep learning in veterinary, specifically equine, diagnostic imaging is attracting increasing interest. The objective of this research project is to achieve automatic deep-learning based equine image analysis and assessment, including 1) automatic assessment of upper respiratory tract of racehorses from endoscopy videos; […]

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UBC Precast Design Studio -Exploring Seismic Response of Precast Connections

Mitacs Accelerate has funded the first year of the Precast Design Studio. In this second and third year, the Mitacs intern, Chadia Uwamahoro, will conduct experiments on conventional horizontal connections to understand their cyclic behavior. The test setup and the experimental data will advance the scientific knowledge on the cyclic response of precast concrete shear […]

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Optimization of Myelin Water Imaging

The purpose of this research project is to optimize a magnetic resonance technique designed to measure myelin in brain and spine. This technique holds great promise for diagnosis and management of neurodegenerative diseases as well as abnormal brain development. The finalgoal ofthe project is to have a magnetic resonance protocol which could be offered as […]

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Personalized Extended Reality Experiences Displayed on Mobile Devices: Investigation of Real-Time In Situ User Behaviour

Immersive technologies create unique experiences by merging the real physical world to a virtual simulated reality. This technology has revolutionized the way in which organizations and many services are implemented. Recently, XR experiences have gained popularity because they can be universally displayed in any type of mobile device and do not require a headset. The […]

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Development of an optical sports monitoring sensor and method for non-invasive evaluation of muscle metabolic fitness and function in elite athletes – Part 2

Currently, elite athletes and their coaches rely on the subjective self-awareness and measurement of muscle force, heart rate, and the amount of blood lactic acid level to monitor body fitness and athletic performance. These methods, however, are not ideal and always reliable due to subjective errors, technological limitations and individual confounding factors that limit the […]

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Biochar blended clay bricks: an innovative solution for landfill waste

BC’s CleanBC Roadmap to 2030 has introduced new actions to address climate change and achieve a net-zero economy by 2050. Based on the current state of climate emergency, the development of effective and financially viable carbon removal projects is paramount. Biochar has a promising negative emissions technology that promotes atmospheric carbon capture and sequestration. The […]

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Computational methods for atomic force microscopy

Atomic Force Microscopy (AFM) is a powerful tool to investigate the mechanical properties of cell membranes, by using a probe to scan the surface of a biological sample. However, computational and mathematical tools are still lacking to process and analyze time-series data from AFM in an automated way. Our project aims to develop an end-to-end […]

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Data visualization and analytical tools for agroecology

To respond to the lack of digital tools for small-scale farmers, our team has been developing Litefarm (https://www.litefarm.org), a free and open source multifunctional web app which can be used by farmers to enter data for farm management, obtaining organic certification, and participatory assessment of agroecological outputs. Launched in 2020, LiteFarm is now the world’s […]

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