RBC-Toronto Quantum Key Distribution Network Development

The interns will develop a quantum communication network built on RBC’s optical fiber infrastructure and perform secure commercial transactions using quantum-generated secure keys in the integrated classical communication network. The quantum communication network will be based on the measurement-device-independent quantum key distribution technology, which is developed by Prof. Hoi-Kwong Lo’s and Prof. Li Qian’s groups at the University of Toronto. It will be an important milestone towards cybersecurity in the financial sector in Canada.

Machine Learning for the Telecommunication Industry - Year two

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of the major telecommunication network operators.

oN DuTy! – Innovative Program on NonDestructive Testing (NDT)

NonDestructive Testing (NDT) is a key discipline in major industrial sectors to ensure quality and safety. Several methods are regularly employed in areas ranging from x-ray or ultrasound testing of metallic or composite components in the automotive and aerospace industries, to the inspection of petrochemical ducts using eddy currents or acoustical emissions. The present proposal combines different NDT-related subjects under the oN DuTy!

LAFORGE: Log Analytics For Operational Intelligence

The goal of this project is to explore the use of log analytics and machine/deep learning techniques to improve Ubisoft operational intelligence. Logs contain a wealth of information, but often hindered by the lack of best practices, tools, and processes. Despite the importance of logging, the area has not evolved much over the years. At Ubisoft, logs are used extensively for various system diagnosis tasks. The analysis of logs, however, is usually performed manually, limiting the full potential of the information contained in logs.

Kali: Optimizing Resource Utilization in Distributed Clusters

Decreasing operational costs is a key criterion for organizations that manage compute clusters, such as Amazon, Microsoft, Google, Alibaba, etc. One way to decrease costs it to improve resource utilization in the cluster [13, 14]. Yet, high resource utilization can negatively affect workload performance and thus user satisfaction. Performance degradation happens when workloads running on the same machine “compete” for shared resources, e.g., a workload that consumes a large portion of memory delays execution of other, memory-intensive workloads.

Development of transparent near-eye display using a sparse microlens array and lightfield principles

Head-mounted displays (HMDs) allow a convenient delivery of visualized data to the user. HMDs in the form of glasses and goggles (otherwise known as smart glasses and goggles), such as Vuzix Blade and Epson Moverio [1-3], have been introduced but the public acceptance of these devices have been rather lackluster. Part of the sluggish acceptance may be attributed to the still-high device costs (>$1000) and a large form-factor, owning largely to the fact that these devices utilize unique and sophisticated optics on dedicated and non-retrofittable platforms.

Blockchain-based Consent Management for Personalized Medicine

This multidisciplinary project will investigate the social, data, and technical issues surrounding design and implementation of a blockchain-based solution for the management of consent for the use of individuals’ “omics” data in medical research. Blockchains are distributed ledgers in which confirmed and validated blocks are organized in an append-only chain using cryptographic links.

Wideband envelope detector for dynamic supply control in RFIC PA’s

Radio frequency integrated circuit power amplifiers (RFIC PAs) operating at microwave frequencies (e.g. 5 to 6 GHz) and at millimeter-wave (mm-wave) frequencies (e.g. 60 GHz) are electronic components used in the front-end modules (close to the antenna) of mobile communication equipment such as cellular handsets. Envelope detectors constitute a critical component in a newly proposed dynamic biasing technique for RFIC PAs based on positive envelope feedback, for power efficiency improvement and distortion reduction.

Flight, energy, and traffic management systems for electric and hybrid aircraft

Leading aircraft manufacturers have gradually turned their attention to the development of all-electric prototype airplanes, some of which have been flown recently. Such is the case of the Airbus E-fan aircraft that in 2015 has crossed the English Channel, completing the 74 kilometer flight from Lydd, England to Calais, France, in about 37 minutes. With battery performance constantly improving, its advantage over kerosene fuel becomes more and more evident, especially in terms of being CO2 emission free.

Uncertainty Modeling and Quantification in Neural Network Image Denoisers

Image denoising is a fundamental process in most of computer vision systems, imaging systems, and photography productions. Recently, with the power of deep neural networks, image denoising has been pushed towards new boundaries. However, neural network image denoisers are constrained by the accuracy of the noise model used to train them. Training on a poor noise model results in poor generalization performance on real-world images.