Adaptive Slicing for Intelligent Network Automation

The forthcoming 5G networks will be much more complex than their predecessors. They are on the verge of a generational transformation driven by the coverage, connectivity, availability, speed and latency demands of 5G. 5G networks will use network slicing to open up the network “as a service” to various third parties and their diversified applications, […]

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Design and implementation of plasmonic-enhanced ultra-high frequency terahertz transmitters and receivers

Terahertz spectroscopy for material imaging/sensing and characterization has received a great deal of attention over the past decade. Terahertz (THz) electromagnetic waves have frequencies in the range of 1012 Hz. Terahertz spectroscopy and imaging has many applications ranging from security, communication, food production, quality control for pharmaceutical industries, and cancer diagnosis. In the heart of […]

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Cognitive Powertrain and Metaveillogrammetric sensing for transportation

There is massive growth in the area of smart cities (e.g. sensors in streetlights), smart cars, and “smart people” (sensors on people, e.g. wearable computing). In some cities like San Diego, there are cameras and microphones in nearly every streetlight in the downtown core area. Most cars made now have one or more cameras in […]

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Towards a Theory of Blockchain as a Socio-Informational-Technical System

Blockchains operate as perhaps the most promising system of trust for any type of digital transaction of value — everything from cryptocurrencies to patient medical records. But a number of barriers — involving social institutions, data and identity management and technological processes — stand in the way of broader adoption. These challenges also ultimately speak […]

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Speaker Diarization for Audio Transcription

This research is concerned with speaker diarization for the purpose of facilitating automated speech transcription. This problem has multiple depths depending on the prior knowledge provided to the system. The type and amount of information about the number and characteristics of the speakers can differentiate this problem in a range from a 1-to-N matching, where […]

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Detection and Prediction of Network Vulnerabilities with Machine Learning Models and Algorithms

The project investigates the development of artificial intelligence models and algorithms to analyze telecommunication networks, looking for signs that indicate the presence, or imminent arrival, of faults and outages on the network. The project will use as its main input data (network topology and network health metrics) collected by EXFO in real-time and accumulated over […]

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Improving the Reliability of AI Systems from a Software Engineering Perspective

Artificial Intelligence techniques have been widely applied to solve real-world challenges, from autonomous driving cars, to detecting diseases. With the popularity of 5G wireless network, more and more AI systems are being developed to provide convenient services to everyone. It is important to ensure the reliability and quality of AI systems from every phase in […]

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An Accurate Screening Technique for the Study of Sub-synchronous Controller Interaction in a Power System having Multiple Wind Generators

This research will investigate methodologies for accurate analysis of Sub-synchronous Controller Interaction (SSCI) in a wind-based power system having multiple Doubly Fed Induction Generators (DFIGs). The approach will extend the candidate’s PhD research which introduced a new method to find a state-space model of a system having multiple HVdc links by using the admittance frequency […]

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Narrowing the Gap Between Software Requirements and Tests

Safety critical software systems such as those that control nir navigntion nre subject to very high standards of quality. They need to explicitly provide system requirements nnd make sure there nre enough test cases that nssure an acceptable level of quality, per requirement. However, with the current fnst pace ofsollworo development, sometimes the program and […]

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Evaluation and Improvement of High Voltage Module (HVM) of X-ray Generator

The motivation for this research comes from an overall need to improve the performance of high voltage module (HVM) and to reduce the size and its material costs while maintaining its efficient performance, with no partial discharge, arc or thermal issues. In particular, stable transient and steady state performances must be achieved for medical X-generators […]

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