Optimization of Mont-Wright open pit mineplanning and design using an integratedGeostatistical-Geomechanical approach

This research project aims to develop an integrated geostatistical-geomechanical approach to address the spatial distribution of rock mass mechanical properties, for use in optimization of Mont-Wirght open pit mine planning and design. This approach allows a better understanding of rock mass conditions based on limited sampling locations. The methodology would allow the inherent heterogeneity of […]

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Infrasound Data Analysis for Wake Vortices and Maritime Vessel Detection

Infrasonic signatures are long wave acoustic signals in the under 20Hz range (below human hearing). The partner organization has been experimenting with infrasonic sensors to achieve 2 key outcomes: a) detection clear air turbulence to benefit commercial air travel and b) detection of ‘dark vessel’ marine traffic, i.e., illegal fishing. The ability to detect clear […]

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Structural optimization of thin sheet metals subject to manufacturing constraints

The goal of the project is to develop an integrated platform for size, shape, and topology optimization of thin wall structures that can meet both manufacturing and performance requirements. The research fellow will receive guidance from Autodesk Researchers & Professionals as well as close supervision on the fundamental aspects pertaining the mechanics and optimization by […]

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Low Cost Eye-Tracking Data Analytic System for Vision Therapy

A significant percentage of children around the world are affected by vision problems, such as lazy eye, that cannot be fixed by eyeglasses. When left untreated, vision problems may lead to learning difficulties. Vision therapy offers treatment to many of these problems where eye-trackers are tools used to diagnose and measure the progress of patients […]

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Seismic Assessment of High-Density Polyethylene (HDPE) Lift Stations

Lift stations are an underground utility transporting wastewater from residential or commercial sources to wastewater treatment plants. Lift stations are defined as a post-disaster structure according to national building code of Canada, which are required to remain operational immediately after earthquakes. A wealth of evidence from historical post-earthquake reconnaissance has confirmed the excellent performance of […]

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Low cost SERS substrates with rapid manufacturing

The proposed research will develop cost-effective substrates for application in Surface Enhanced Raman Spectroscopy. The substrates will be made using self-assembly methods for nanomaterials in aqueous medium and a final step of simple filtration. The nanoscale material will provide high sensitivity as a SERS substrate for detection of specific chemicals and microbes. The developed SERS […]

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Business Case for the Intelligent Offshore Trawling (IoT) Net

The project will build a business case to evaluate and develop an innovative Intelligent Offshore Trawling (IoT) Net. This net will transform bottom trawling processes by having the net just above the seabed. This means the seabed is not violently disrupted and that the operations of the trawling vessels are more efficient through a greatly […]

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Replacing airport luggage handling infrastructure legacy materials with low-footprint alternatives: Phase I – Feasibility study

Materials circularity is becoming increasingly important for designers and manufacturers across the world, driven by a variety of factors including increased restrictions to landfill dumping through the legacy “make-take-dispose” model, through to social campaigns. The aim of this collaborative project is to perform a feasibility study on replacing current airport luggage handling infrastructure at Vancouver […]

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Dilution prediction and reduction in underground mines based on stoping methods using artificial intelligence

Given that dilution is a problem that reduces the profit of many underground operations, the dilution monitoring, prediction, and reduction convey the capability to increase operational efficiency. The proposed research aims to develop an unplanned dilution monitoring, prediction, and reduction tool. The research methodology will be based on artificial intelligence (AI)-based models. More specifically, the […]

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False Data Injection Attacks Targeting Power System Generation Control/Scheduling and Their Mitigations

Electric power systems are subject to cyberattacks. In this project, we intend to investigate false data injection attacks (FDIAs) targeting the automatic generation control (AGC) and the economic dispatch (ED) of electric power systems. Such a class of attacks may significantly affect the system frequency stability and result in huge economic loss and even catastrophic […]

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Design and Development of the Smart Friction Pendulum System (FPS) for High-Rise Buildings to cope with seismic loads

Buildings are vulnerable to moderate and powerful earthquakes. In order to keep their functionality during and after the seismic events, structural control systems are the promising candidates to be embedded in the buildings in which they dissipate the energy towards the building and separates the movements between the soil and the infrastructure. One of the […]

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