Ciena OPn Innovation WP 1.1.6 – High Speed Low Power Transceiver

The intent of this project is to address the high-speed electronic portion of a silicon photonic transceiver solution that will explore new and innovative metro reach terabit optical modems. In total there are five projects that combine to create the solution. These five project areas are silicon photonic design, high-speed electronic design, modelling, packaging and […]

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Program evaluation for JUMP Math: An empirical assessment of a resource for math education

Canadian math scores are in decline. Numerous studies have demonstrated the importance of numerical proficiency for outcomes such as health, employability and financial stability. Therefore, the effectiveness of a child’s math education is key to future success. It is of utmost importance, then, to identify effective math education programs. The proposed project will evaluate JUMP […]

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Program evaluation for JUMP Math: An empirical assessment of a resource for math education – Year two

Canadian math scores are in decline. Numerous studies have demonstrated the importance of numerical proficiency for outcomes such as health, employability and financial stability. Therefore, the effectiveness of a child’s math education is key to future success. It is of utmost importance, then, to identify effective math education programs. The proposed project will evaluate JUMP […]

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WP1.1.4 – Digital Compatible Modeling of Analog/RF/Optical Circuits

The intent of this project is to address the analog and silicon photonic modelling portion of a silicon photonic transceiver solution that will explore new and innovative metro reach terabit optical modems. In total there are five projects that combine to create the solution. These five project areas are silicon photonic design, high-speed electronic design, […]

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Edge-Twin based Framework for Real-Time AI Applications for Vehicular Scenarios

Edge computing is expected to play a transformative role for future AI applications in 5G networks by bringing cloud-style resource provisioning closer to the devices that have the data. Instead of running resource-intensive AI applications at the end devices, we can consolidate their execution at the edge, which brings many benefits, such as eliminating the […]

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Centre for Operations Excellence Industry Projects 2019

The Centre for Operations Excellence Industry Projects 2019 consists of seven sub-projects sponsored by five different industry partners. Each sub-project represents an important challenge for its sponsor. These sub-projects include Extracting data from unstructured text of NOTAMs to assess relevance (Boeing 1), Developing a fix effectiveness engine to perform data-driven predictive maintenance (Boeing 2), Initial […]

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From Data To Knowledge for better system maintenance (D2K)

Our society depends greatly on software systems in many of its critical activities including telecommunications, which is an industry sector for which Ericsson has made numerous contributions. These systems, however, have to be maintained and upgraded. The cost and the amount of effort dedicate to maintenance is often high due to the intrinsic complexity of […]

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Research on HTML5 security and solution

The web browser is arguably the most security-critical component in our information infrastructure. Banking, social networking, shopping, navigation, and card payments – almost any activity you can imagine now takes place within a browser window. HTML5 is a potential candidate for changing our experience on the web and its sale on devices is forecasted to […]

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Intelligent Analytics for Dynamic Events in a Smart City

Artificial Intelligence (AI) research has grown rapidly in recent years as the result of faster computers and better algorithms. AI models can be trained to automate the decision process and provide results. However, if the model is not properly or sufficiently trained, the outcome will likely be unpredictable and inaccurate. Besides, training data is not […]

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Video Quality-of-Experience Assessment Based on Advanced Machine Learning Technologies

The proposed MITACS cluster project aims to apply advanced artificial intelligence (AI) technologies to attack challenging video quality-of-experience (QoE) assessment and quality assurance problems that are critical in real-world large-scale video distribution systems. Six internship students will work closely with the technical staff members at SSIMWAVE INC, a deep-tech startup company based in Waterloo Ontario, […]

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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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