Prediction Improvement on User’s Consumption

The goal of the research is to implement different data mining algorithms in order to improve the prediction on a user’s electricity consumption. The research will be dedicated to improve the existing algorithms or implementing new algorithms for the improvement of the prediction accuracy. Besides application of the prediction algorithms, different data pre-processing methods will […]

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Advanced Manufacturing of Graphene Oxide Membranes for Acoustic Drivers

The Graphene Audio group at TandemLaunch is working to revolutionize loudspeaker design through the use of graphene composite materials (Graphene-CMs) in loudspeaker membranes. Graphene is a newly discovered material with exceptional mechanical and electrical characteristics. Its low mass and high strength make it ideal for use in acoustic transducers offering an immediate benefit over existing […]

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Investigating Distributed Ledgers for IoT and Connected Vehicles

With the fast-moving pace of the auto industry moving to more and more computing units, connected infotainment, pairing of on-board equipment to mobile devices, cloud connectivity, V2V, V2X, and autonomous functions, architects and developers need all the help they can get to address security and safety concerns in the systems. This internship will look at […]

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Fostering Corporate Productivity through Creativity and Intuition

Research shows that many business employees are disengaged with their work, leading to numerous negative outcomes such as reduced productivity and burnout. The use of creativity and intuition have been suggested as two potential avenues for resolving these issues. However, there is a lack of direction for how these concepts can be practically applied in […]

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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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