Self-Adaptive Pattern Recognition with Deep Neural Networks

The purpose of this project is to investigate self-adaptive forecasting and anomaly prediction algorithms based on deep neural networks (DNNs). DNNs present a compelling technology due to their wide-spread availability through open-source projects (e.g. TensorFlow, MXNet). However, usability of DNNs in scenarios outside of image, speech or text pattern recognition is mostly unproven. This project […]

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Large-scale optimization algorithms for optical and fiber networks

Networks are moving towards being adaptive. This means that automation will be used to replace processes which are today highly manual. This project proposes a development of knowledge in the area of algorithms required to enable adaptive networks. The project will train two PhD students to understand optical networks and devise optimization algorithms in the […]

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WP 1.1.5 – Analog, RF, and SPIC Testing On a Low-Speed Tester

This project will address the production test needs of a silicon-based high-speed photonic transceiver solution for metro-reach terabit optical modems. For this project, the partnership will be between Ciena, DA Integrated (test development contractor) and Prof. Gordon W. Roberts from McGill University (academic expert in DFT and mixed-signal design and test). The scope of this […]

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WP 3.2.2 – Automated Log Analysis

Ciena is a Canadian company leader in engineering and manufacturing networking systems and devices. The company has around 5,000 operable products in its portfolio. The vast majority of Ciena products generate logs during the boot up and the mission mode operations from the various tasks running on their real time operating systems. The company wants […]

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A Web-Based Traffic Steering and Orchestration Platform for NFV Services

Traditionally a Service Function Chain (SFC) consists of a set of dedicated network service boxes such as firewall, load balancers, and application delivery controllers that are concatenated together to support a specific service. With a new service, new devices must be installed and interconnected in certain order. This can be a very complex, time-consuming, and […]

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Analytics on 5G – Topology through PM correlation

As the 5G Network will be capable of being reconfigured and optimized on-the-fly, they will also be more automated, requiring less manual effort to provision resources and make the most efficient use of bandwidth. The Ciena Analytics as a Service is a suite of tools to assist network operator in pro-active discovery on their network […]

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Design of a self-adapting project management application

To be more competitive in the market, many companies are trying to speed up the quotation process and quote more attractive prices and have identified a need for support in the quotation process in order to reduce the quotation lead-time and ensure a higher level of accuracy in the cost estimations. In the case of […]

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Supply chain metrics during the product lifecycle

Ciena Corporation is a global supplier of telecommunications networking equipment, software and services. The company operates in a high product mix, low volume environment with short product cycle times. As a consequence, it has difficulty estimating product volumes and end-of-life inventory. The project will determine the best set of metrics during product lifecycle stages in […]

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Routing and Spectral Assignment in Mesh Optical Networks

The project consists in the design, development and testing of algorithms that can solve the routing and wavelength assignment problem in optical networks, for data instances with up to 100 wavelengths and few hundred nodes. Indeed, for each demand between a source and destination, it consists in determining a route, and assigning it a wavelength […]

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Supply chain metrics during the product lifecycle (extension)

Ciena Corporation is a global supplier of telecommunications networking equipment, software and services. The company operates in a high product mix, low volume environment with short product cycle times. As a consequence, it has difficulty estimating product volumes and end-of-life inventory. The project will determine the best set of metrics during product lifecycle stages in […]

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