Tensor based machine learning with human computer interaction applications

In this research, first we will using tensor network techniques speedup the processing in neural network since computational cost is a major bottleneck in neural network based deep learning. Note that the weight matrix in each layer of neural network is with huge size, because of millions of parameters. This may cause large time complexity […]

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Protection Coordination Planning with Distributed Generation (DG) and the Impactof DG on Safety, Equipment and Distribution System Operation

Driven by economic, technical and environmental reasons, the energy sector is moving into an era where Distributed Generation (DG) will meet a large segment of increasing electrical energy demand. Local distribution companies (LDCs) are required to accept a given percentage of customer-owned renewable DG units in their system. Generally, DG introduces new possibilities such as […]

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Therapeutic Strategies for Restoring Palmitoylation and Autophagy in Neurodegeneration

The cellular clearance pathway autophagy is required for degrading toxic proteins and damaged organelles, but is disrupted in many neurodegenerative diseases. During induction many autophagy regulators quickly localise to membranes from the cytosol. The Martin lab has identified palmitoylation, which involves the addition of the fatty acid palmitate to cysteine residues, as a potential regulator […]

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Effect of Shape Parameterization and Optimization Algorithms on Adjoint Based Aerodynamic Shape Optimization

A very important phase in aircraft design is the aerodynamic design of the wing and various other components: wing-body fairing, tailplane, etc. With today’s computer power and progress in algorithm development, the design is made through complex mathematical models which are amenable to automatic optimization. An industrial adjoint-based three-dimensional viscous optimization framework, developed at Bombardier […]

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AI based acoustic signal processing and analysis and its applications

Artificial intelligence (AI) provides powerful tools to many acoustic related applications. This proposal aims at acoustic signal processing and analysis and its applications using AI technologies. In order for AI to make progress in understanding the acoustic world around us, it needs to be interpreted along with multimodal messages. Three subprojects, i.e., multi-modal acoustic scene […]

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Seismic performance of helical pile groups and their cost efficiency as alternative to driven piles

A new seismic hazard model of Canada will be incorporated in the NBCC2020, which will increase the seismic hazard by 50-100%. Meanwhile, helical piles are a reliable and cost-effective alternative to conventional driven piles because of their fast installation, lower cost and lower labour risk. They are suitable for retrofitting existing deficient foundations because they […]

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Prediction of Vortex Breakdown over Wing Geometries Using Detached-EddySimulation

The formation of vortices and their interaction with the aircraft wing and body is one the most interesting problems in aerodynamics. These vortices are usually generated and convected from different parts of the lift providing devices. Their interaction with the flow field, can case unsteady force and vibration. At some configurations, it can alter the […]

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Determination of oxygen stability and shelf life of cannabidiol oil formulations.

We intend to develop standardized protocols for oxygen stability and shelf life testing of cannabidiol oil formulations. Overall, we will study the effect of time, O2 pressure, temperature, and sample quantity on the oxidation of different formulations, and how this accelerated oxidation profile can be extrapolated/modelled to predict long term shelf life under ambient conditions. […]

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Optimization of the economic potential of Jerusalem artichoke asfeedstock for production of ethanol, inulin, and biomass pellets

CENNATEK Bioanalytical Services Inc. is leading a R&D project with the goal of using Jerusalem artichoke as a feedstock for the production of ethanol, inulin and biomass pellets. The Jerusalem artichoke crop contains large amounts of carbohydrates, mainly inulin, which can be converted to sugars such as fructose. Fructose is used as a sweetener in […]

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Recurrent neural network modeling of working memory

The temporary maintenance of information is known as working memory, and it enables behaviour that we take for granted, such as remembering a phone number or avoiding an obstacle after turning off the lights. Despite its importance for everyday behaviour, the neural mechanisms underlying working memory are/remain unclear. While some single-neuron recordings in monkeys correlate […]

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The impact of ore recovery uncertainty in geometallurgy

Mining systems are complex to model since they involve (1) creating adequate representations on how sub-models (mining processes) are interconnected (the ore/waste flowcharts) and (2) there is a lack of understanding of the impact that small variations have over the entirely system. Moreover, developing adequate models requires the use of modern predictive tools that account […]

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Photo-curable Polysiloxane Resins for Engineered Ferroelectret Films

Polymer ferroelectrets are light weight and flexible materials that display piezoelectric behaviour. These properties make them ideal for use as transducers in the aerospace industry. However, the traditional methods used to prepare high performance polymer ferroelectrets cannot be used for large scale manufacturing due to poor reproducibility or high cost. Furthermore, these manufacturing techniques rely […]

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