Anomaly detection from system logs through deep learning

During the last decade, we observe in organizations a surge of numbers of cyber-attacks originating internally. In this project, we aim to develop deep learning models to detect suspicious activity (such as malicious events, system failure or attacks) from log data generated by the Desjardins ecosystem.

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Developing innovative techniques for identifying critical habitat and mitigating threats to endangered salamanders

Jefferson Salamander (Ambystoma jeffersonianum) and co-occuring occurring unisexual Ambystomids (Ambystoma laterale – (2) jeffersonianum) are endangered species in Canada. Many populations in Canada are experiencing going threats and pressures from habitat loss and fragmentation due to surrounding land uses which include residential areas, agricultural fields, and road networks. This project will focus on locating and […]

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Understanding shifts in angler effort and steelhead abundance in British Columbia’s recreational fishery

British Columbia (BC) supports world-renowned recreational fisheries for steelhead, which are prized by national and international anglers. In recent decades, the prosperity of these fisheries has been challenged by widespread declines in many of the stocks in southern BC, many of which are of conservation concern. While there is no commercial fishery for this species, […]

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Monitoring the mental health of Canadians

MHRC is conducting ongoing polling of Canadians to assess the short- and long-term effect of COVID-19 on mental health. We require additional support to expand our capacity to analyze the datasets we are creating. Our poll is extensive including a number of markers of mental health along with an array of demographic controls. While we […]

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Selecting Mycelium Producing Strains for Packaging Bio-Foam Production and Canadian Market Potential for Big-Size Commodities

Manufacture companies use foam materials made of polystyrene to protect the goods during storage and shipping. However, polystyrene is plastic-based and made using crude oil, which is terrible for the environment. Used polystyrene foams are challenging to eliminate and occupy space in landfills for a very long period. This study investigates the manufacture of bio-composite […]

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Development of Adaptive Fault and Anomaly Detection for Industrial Processes and the Application of Reinforcement Learning (RL) for Automatic Fault Recovery

The Operational Excellence (OpEx) team at Spartan Controls is actively involved in several initiatives for developing advanced process control (APC) solutions to the oil sands industry. The OpEx team collaborates with Professor Biao Huang’s research group through the NSERC Industrial Research Chair (IRC) in the Control of Oil Sands Processes program for solutions that require […]

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Indigenous Foodlands Conservation Areas

The Indigenous Foodlands Conservation Areas Project will conduct participatory action research with Elders, Indigenous knowledge holders and Indigenous law/governance experts to support the BC Working Group on Indigenous Food Sovereignty and the IISAK OLAM Foundation in the process of mapping out and advocating for Indigenous Foodland Conservation Areas in Neskonlith Secwepemc territory. In the Neskonlith […]

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The manufacture of mycelium-based bio-foams using upcycling waste materials and the study of the Canadian market potential for small-size products

This project will produce mycelium-based bio-foams (MBFs) using waste materials and edible mushroom strains. MBFs are a type of eco-friendly material, which has the potential to replace EPS in terms of foam packaging properties. The manufacturing of the product is a self-assembling process, without mining natural resources and generating wastes. It can also be crushed […]

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Efficient, cost-effective purification of soybean peroxidase for industrial applications

Pharmaceutical contamination of water systems poses direct threats to human health and the environment. Unfortunately, wastewater treatment plants are not always capable of sufficiently removing pharmaceutical contamination, particularly where drugs are disposed of in high concentrations – such as pharmaceutical manufacturing facilities. When some residual drugs are released into the environment they can persist and […]

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Digital Twin for Civil Engineering Design Workflow

McElhanney provides Engineering and Surveying services across Canada. They want to leverage the AI feature extraction work conducted in 2021 – 22 (Mitacs Accelerate IT23104) whereby the University of Alberta interns helped to extract physical municipal assets (fire hydrants, street lights, manholes, curbs, etc.) from detailed terrestrial laser scanning (TLS) data, i.e., LiDAR point-clouds. This […]

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Design and fabrication of metamaterial energy absorber, generator, vibration isolator

Our main aim is to design and fabricate lightweight mechanical structures to show high energy absorption capacity with as low as initial reaction forces, electricity generation via embedding smart materials (piezo patches), and isolate external dynamic excitations. The designed mechanical structures could be applied in the automobile and motorcycle industries. In a car crash, the […]

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