Slope Movement Prediction of Open-pit Mine Using Machine Learning and Field Data

In BC open pit porphyry mines, pit wall deformation rate has been closely monitored to evaluate the stability of open pits and determine proper operational response. This research aims to improve our understanding towards the deformation behaviours of pit walls considering both the slope characteristics and external influence factors. The project will collect a large […]

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Sound insulation performance of an innovative mass timber floor system

Acoustic comfort in all types of buildings is essential to our daily life and work. Mass timber buildings provide us the solution to construct green buildings with much less carbon footprints compared with concrete and steel buildings. This project will investigate the sound insulation performance of an innovative mass timber floor system through experimental testing. […]

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Creating AR computer vision applications for children’s toys

The objective of this project is to explore the uses of Augmented Reality (AR), a technology that superimposes computer-generated animations, on a mobile user’s view of the real world, in the context of children’s gaming applications. These applications will allow children to experience a game as being directly tied to reality. Specifically, using for example […]

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L2M MITACS – Improving the Storage Stability of Research Grade Proteins using Super- Hydrophilic Sponges

The proposed research project seeks to explore the application of foam-like inserts to improve the shelf life of commonly used proteins. Many commercial proteins are used in a variety of applications such as food production, pharmaceuticals, and scientific research. These proteins must be stored at sub-zero temperatures as they are prone to degradation at higher […]

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Biodegradable, Sustainable Novel Lab Products

The special characteristics of plastics have led to them taking an essential role in society. Unfortunately, plastic consumption, production and disposal significantly impact the community. The failure of research labs to better understand the actual costs of lab plastic wastes has led to poor management of plastic materials and growing social, ecological and economic costs […]

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Research on the Impacts of Automated Speed Enforcement (ASE) in Rwanda to Develop a Guide for African Countries (GRSF CFP FY21)

The proposed consultancy services are going to conduct research related to the introduction of Automated Speed Enforcement (ASE) tools in a low-income African country (based on the Rwandan case study). Quantifying the effect of installing enforcement cameras on the number of damages, injuries, fatality collisions, and traffic offenses like speeding, crossing red lights, and talking […]

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Formalisation d’arguments de sécurité

Le présent projet appartient au domaine de la représentation des connaissances et constitue un premier pas vers le développement d’outils informatiques en support au développement de dossiers de sécurité et d’audits de conformité reliés à la sécurité des TI. Il porte plus particulièrement sur la représentation formelle d’interprétations de requis de conformité reliés à la […]

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Discovery of microbial enzymes for biodegradation of plastic polymers

In an effort to reach zero waste in Canada by 2030, this work is dedicated to the discovery of microbes with enzymatic capabilities to biodegrade plastic. A library of microbes (bacteria and fungi) isolated from a range of marine environments will be screened for unique and novel plastic biodegrading activities. Preferred microbes will be selected […]

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Pay for Performance Intervention Funding

Social impact bonds (SIB) have the potential to fund proven social innovation projects that governments have to date, for a variety of reasons, been reticent to fund. Through a SIB, private investors fund innovative social intervention work that is carried out by a non-profit. If the non-profit achieves certain social outcomes previously agreed upon by […]

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Machine Learning-Based Pitch and Chord Detection for Embedded Systems

This project proposal is to create an AI-based musical pitch and chord detection system suitable for deployment on a hardware device. Most of the research in this area is conducted on computer-based systems with large amounts of memory and computational power. Our goal is to develop new state of the art methods for doing this […]

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