Extended Cloud Computing and Applications September 2012-April2014

This MITACS Accelerate program will support a internships for graduate students in the areas of services and applications using next generation communications, Internet, and cloud computing. The interns will be placed in Canadian telecom and networking providers and vendors and will undertake research projects defined jointly with these partners. The program will prepare graduates to […]

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Improving Health Information System Safety: Development of Novel Approaches for Identifying, Tracking and Preventing Technology-Induced Error

In Canada healthcare is being modernized and transformed through a range of new healthcare information technologies and systems. Applications of information systems such as electronic health records (EHRs), electronic medical decision support and an increasing range of mobile health applications promise to transform and improve healthcare and increase patient safety. However, although such technology has […]

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A Novel Passive Wireless Printed Circuit Board Cavity Sensor for the Measurement of Electric and Magnetic Fields

Increasing demand for more reliable electric power requires advanced monitoring systems that prevent equipment failure and outages. The existing technologies used for monitoring the voltage and the electric field in the vicinity of the high voltage devices are bulky and expensive. On the other hand, maintenance of the monitoring devices requires specific safety precautions. In […]

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Accelerating Technical and Market Readiness of Solid-State Nanopores

Solid-state nanopores—small holes in thin membranes comparable in size to individual molecules—are promising candidates as sensors with which to revolutionize DNA sequencing, personalized medicine, point-of-care diagnostics, and next-generation information storage methods. A method by which these nanopores can be fabricated on an industrial scale was recently invented, but challenges remain, particularly in quality-controlling source materials […]

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Improved Unsteady Aerodynamic InfluenceCoefficients

Currently Bombardier Aerospace uses the Doublet Lattice Method (DLM), incorporated into a structural solver, to perform aeroelastic calculations such as flutter. This method is able to provide very good results in the subsonic regime, but looses accuracy in the transonic regime due to the high non linearity of the flow. A methodology was developed where […]

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Research into an Implementation Framework for National Inquiry into Missing and Murdered Indigenous Women and Girls (MMIWG) in NL

On June 3, 2019, the National Inquiry into Missing and Murdered Indigenous Women and Girls (MMIWG) released its Final Report. Among its 231 recommendations, Calls for Justice 5.7 and 9.2(iii) urge the federal, provincial, and territorial governments to take specific steps to strengthen civilian oversight of police services by ensuring stronger Indigenous participation in police […]

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Seq2Hypergraph: Link prediction on knowledge graphs using relation conditioned Transformer Networks

Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing new modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through graph neural networks and transformer […]

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Développement de solutions pour l’utilisation de l’impression 3D pour la production de composants de machines d’emballage alimentaire

Les machines d’emballage alimentaire sont produites en fonction des besoins du client et, par conséquent, chaque projet a ses propres exigences. Pour cette raison, l’étude de nouveaux procédés et matériaux est importante pour l’innovation et la concurrence sur le marché. D’autre part, les technologies de fabrication additive sont de plus en plus accessibles et réalisables […]

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Comparing Standard and Extreme VaR Models During Highly Volatile Periods

A bank’s Value at Risk (VaR) determines the amount of capital that it must set aside to satisfy bank regulations. VaR relates to the size of potential trading losses; the greater the VaR, the greater a trading loss the bank could suffer and consequently the more capital it must set aside. This reduces the probability […]

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Design of a Route Generating Algorithm for Demand-Responsive Public Bus Services

Blaise Transit seeks to grant public transit agencies the ability to replan their bus lines in real-time based on requests made by riders using the Blaise app. The main objective of this project is to design and implement algorithms ensuring this business goal can be achieved, namely by continuously improving Blaise’s current routing algorithm.

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