3D Heat-Map Development based on Fault Diagnosis Data

This work focuses on generation a framework to employ a set of 3D coordinates, as the input dataset to the model, and generate the 3D heat map based on the 3D shape. The generated 3D heatmap aims to define the most probable areas for fault categories on the 3D surface. To develop such a system, […]

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Hydrolytic de-polymerization of hydrolysis lignin using alkaline catalysts: effects of process parameters and optimization

Hydrolysis lignins (HL) are a byproduct from acid or enzymatic biomass pretreatment processes such as the ones employed in cellulosic sugar and/or ethanol plants. They are mainly composed of lignin , unreacted cellulose and mono and oligosaccharides. These lignins are, to a great extent, covalently bonded to cellulose and/or hemicellulose to form lignin carbohydrate complexes […]

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Machine Learning methods for Nova Scotia property value prediction

This project will develop and apply machine learning techniques to predict the valuation of the properties in Nova Scotia. The techniques will help Property Valuation Services Corporation (PVSC) assessors with more efficiently and accurately valuing properties. The ultimate goal is to help PVSC reduce the number of annual appeals – which is a costly undertaking. […]

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Microfluidic Point-of-Care Immunoassay

In this proposed project, a collaboration between Tel-Array Diagnostics and the UBC research team will result in the development of a fully automated and portable point-of-care test for breast cancer proteins from a single drop of blood. In order to achieve this ambitious goal, we will develop, optimize and validate a fully integrated microfluidic sample […]

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High power all-fiber Raman laser at 1.65 ?m

Fiber lasers have become the fastest-growing laser with a projected worldwide revenue up to $1.41 billion in 2017. In particular, fiber lasers at 1.65 ?m have drawn increasing attention with potential applications in chemical sensing, LIDAR and spectroscopy. All-fiber Raman lasing technology is a promising and efficient technology to achieve high power lasing at 1.65 […]

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Bioprinting an implantable knee meniscus

Each knee contains two menisci, crescent-shaped pieces of cartilage that play a crucial role in absorbing shock and providing nutrition to the joint. The meniscus is one of the most commonly damaged areas of the knee, unfortunately the body cannot easily repair meniscal injuries, leaving patients with reduced mobility and severe pain. Surgical removal of […]

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Traitement de données automatisé pour véhicules autonomes de sondage hydrographique par sonar multi-faisceau

Ce projet de recherche a pour objectif de développer des logiciels d’analyse qualité de données provenant de systèmes hydrographique basés sur un sonar multifaisceau. Le projet va donc contribuer à automatiser un certain nombre de traitements de données et d’analyser la qualité des données acquises en quasi-temps réel. Le caractère innovant du projet réside intrinsèquement […]

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Learning tools to predict treatment responses for schizophrenia from neuroimaging data

Schizophrenia is a chronic mental disorder associated with a significant health, social and financial burden, not only for patients but also for their families, and society. However, the current treatment methods have been only partially successful, mainly due to the inter-individual differences between patients, which means that a treatment that is successful for one patient, […]

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Analyse biométrique de la tolérance au risque : étude expérimentale sur des professionnels en finance

Les banques reposent généralement sur de courts questionnaires afin de déterminer quel est le profil d’un investisseur et entre autres, sa tolérance au risque. Nous nous posons donc la question de savoir s’il existe des différences entre les réponses données à de tels questionnaires, simples ou plus complexes en format écrit, et la véritable réaction […]

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Coupling event sampling to ColiMinder® high-frequency monitoring of E. coli for improved microbial risk assessment in source waters (COLIRISK)

Safe drinking water supply is a daily need but it can be seriously threatened by microbial hazards originating from fecal contamination of source water, especially following periods of intense rainfall. In order to assess drinking water intakes (DWIs) vulnerability to fecal pollution and to take cost-effective decisions in case of hazardous events, it is urgent […]

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