The project aims to develop the deep learning-based algorithm that translate the image style of specific object to the reference style. Firstly, the proposed research focuses on identifying the accurate region in image for style transfer, and then translating the image style in that region. Current techniques about image style transfer are struggling to focus […]

Autonomous operation of oil and gas pipelines is being introduced to the marketplace by utilizing advanced process control and Artificial Intelligence. This Project will explore the use of advanced optimization algorithms in combination with autonomous operation to further increase efficiency of pipelines by continually driving pumps, compressors and valves to achieve the lowest cost operation. […]

The proposed research focuses on bogie dynamic load monitoring using intelligent sensor networks. The existing monitoring systems have several problems including inability to monitor precisely, difficulty in integration with the existing units, and high cost. The proposed research will examine these issues in detail focusing on five main areas: wireless sensors, product definition, prototype development, […]

Wood plastic composites (WPC) are a family of composite materials in which wood particles are mixed with a thermoplastic resin (polyethylene) to offer weight reduction, good thermal properties, acoustic insulation, cost reduction, as well as high stiffness and strength. Virgin thermoplastics are generally used in the WPC industry, but plastics are seen today as one […]

Les boulons servant au soutènement des galeries de mines souterraines ne respectent souvent pas le patron de boulonnage défini par les ingénieurs dû à diverses raisons telle la complexité de la pose des boulons sur le terrain dans un intervalle de temps limité. Les galeries ne sont alors pas aussi renforcées qu’elles devraient l’être et […]

MicroRNAs (miRNA) can be used as biomarkers for different types of cancer diagnostics. Therefore, obtaining point-of-care (POC) device for miRNA detection is of high value. Conventional miRNA sensing strategy usually involves reverse transcription PCR or target recycling strategy and hence those techniques are not suitable for POC devices. In the proposed work, electrochemical sensing strategy […]

Dual-fuel diesel-natural gas engines have the potential to be an economical and low-emission alternative for heavy-duty transport applications. These engines combust pre-mixed natural-gas/air mixtures by ignition with a pilot injection of diesel fuel. The fraction of energy provided by each fuel can be varied for engine operating conditions. Natural gas is less expensive than diesel […]

Ce projet vise à développer une méthode de prédiction et d’atténuation précise et abordable du bruit induit par l’écoulement. L’approche innovante, basée sur les développements récents en simulation et en modélisation fondée sur les données, promesse de réduire la pollution sonore, d’améliorer la santé publique et atténuer l’impact de l’urbanisation. À ce jour, les limites […]

Terrestrial Laser scanning is a surveying tool that can create 3D point clouds by shooting a web/mesh of laser points in a 360° range of its surroundings, determining the coordinates at each data point. This research will determine its applicability to measure deformations of a Mechanically Stabilized Earth (MSE) retaining wall by comparing measurements to […]

The intern will be part of the ATCO Electricity Innovation Team and will support in delivering novel next generation prototypes that will define the future of the electricity grid in Alberta, broader Canada and globally. Some of the current projects in the portfolio includes smart EV charging, artificial intelligence based microgrids, home of the future […]

Wind and solar energy are the fastest growing sources of electricity in Canada. However, its electricity supply is not aligned with the energy demand. In this context, energy storage becomes more and more important to bridge temporal and geographical gaps. The Power-to-Gas process (P2G) is a promising technology in which excess electricity is converted to […]

In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their […]