Mineralogy and Shock Effects in Martian Regolith Breccias

In Martian history, asteroids have continuously collided with Mars. The catastrophic activity (impact) can produce high pressure, and finally affected properties of minerals in meteorites, which means the minerals were shocked. The force of impact for ejecting Martian meteorites can be 60 GPa, about 600,000 times of the atmosphere pressure on Earth surface. When the […]

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Developing the use of UAV Imagery Systems for Agriculture Applications

During the last decade, Unmanned Aerial Vehicles (UAVs) drew the attention to be used as platform for imagery systems for different applications including agriculture applications. Therefore, the proposed research aims to develop the use of UAVs for specific important agriculture applications as weed management. These developments include the use of low-cost imagery sensors for these […]

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Interactive Molecular Modelling in Virtual Reality

The work that the Glowacki lab has addressed concerns two main issues of VR: a lack of multi-user interaction and heavy processing requirements. Using remote cloud supercomputing facilities, his lab can access the processing power to model in real time incredibly complex mathematically systems, with the computational physics simulations performed off-site, thereby enabling multi-user interactions. […]

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Salmon Early Marine Survival Research Program: Phase 2

Salmon are inarguably one of the most culturally, ecologically, and economically important fish in British Columbia, however, their stocks have been declining since the 1990’s. The Cohen Commission of Enquiry expert panel emphasized that juvenile mortality during the first months at sea was the most likely cause of fishery declines. This Mitacs project represents Phase […]

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Dance Like the Machine’s Watching

We are proposing an investigation of techniques and technologies to support media-enhanced group performances that integrate different performative art forms (dance, theatre, clown, voice, choral) with responsive mixed reality technologies and public data sets. We will work with a group of young performers (13-17 years old) and a local Vancouver choreographer to deeply investigate, with […]

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Exploring predictive analysis models to improve online sales performance

Faire Child Makewear Limited (“Faire Child”) is a Nova Scotia start-up company created to design and market a line of fashionable and sustainable children’s outerwear. Faire Child developed an opertalization plan in collaboration with an outside consultant in December 2017. Despite having executed the plan as designed, the activities that were undertaken did not result […]

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Non Linear optical studies of diamine based hybrid perovskites

Developing energy efficient materials for new age technology is an area of extreme interest in academics as well industries. Hybrid perovskites are have proved to be rapidly growing to be promising materials in the field of solar cells with efficiencies reaching 23%. The versatile nature, simple synthesis route, tunability, dimensionality effects and other interesting features […]

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Mining Version Histories To Automate Merge-Conflict Resolutions

In current collaborative software development environments, developers usually work in parallel. They often share changes with other developers or incorporate changes from them, with the help of version control systems (VCSs) such as Git and Subversion. The parallel collaboration process improves the development speed on the one hand, but on the other hand, leads to […]

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Studying Magnetic field structures in ISM scattering screens

Galactic Magnetic Fields (GMF) have always been an intriguing topic to astronomers: they play a big role in star formations, Galactic structures, interstellar medium (ISM) distribution, etc. Therefore, understanding these structures becomes a crucial part to unravel the mystery of our Galaxy. A main signature of magnetic fields is that they can rotate polarized light […]

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Reconnaissance automatique de produits à partir des requis dans les appels d’offres

Ce projet de recherche vise à développer une technologie de pointe qui permettra à une entreprise d’identifier rapidement les appels d’offres les plus intéressants pour elle en fonction des produits et services qu’elle offre. Elle lui permettra également de produire ses soumissions plus rapidement et efficacement. Plus précisément, l’objectif est de développer un logiciel capable […]

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Vibration-based Damage Diagnosis of Lifeline Bridges

B.C. is home to many of the largest bridges in North America, as well as the largest earthquakes in Canada and the world. The ongoing research efforts aim to implement an automated monitoring system that detects and localizes post-earthquake damage on bridges in real-time based on ambient vibrations. The vision is that in the event […]

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Optimization of group equivariant convolutional networks

The explosion of popularity of deep learning owes a lot to the success of convolutional neural networks, widely used in diverse fields including computer vision and natural language processing. Recently, the group equivariant convolutional neural network (G-CNN) was introduced, where equivariance of symmetries inherent in the data set is built in the architecture of the […]

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