The Investigation of a Low Temperature Co-Fired Ceramic (LTCC) Fabrication Process for the Design of Advanced Millimeter-Wave Components for 5G Communication Technology

The main objective of this project is to design and test millimeter-wave RF front end components for applications in 5G new radio communication systems utilizing the thin-film multilayer LTCC fabrication process developed at ACAMP. With these fabricated and characterized prototypes, ACAMP will be able to showcase its specialized LTCC fabrication process and provide support to […]

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Multi-agent reinforcement learning for distributed edge caching

There is an exponential increase in the network traffic worldwide due to the growth of social networks, multimedia sharing web services, streaming of video-on-demand (VoD) contents. However, the bandwidth isn’t growing at the same rate as the demand, resulting in a loss of Quality of Service (QoS) and Quality of Experience (QoE) for the users. […]

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Progressive Cybernetics Decentralized Autonomous Organization (PCDAO)

Digitization of assets is becoming a dominant form of business operations today; the Internet of Things and increased connectedness to consumers and citizens alike is creating a decentralized virtual marketplace for digital services and assets. The potential for sharing technology assets is high due to digitization (the new way of referring to digital transformation). Principles […]

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Development of an Extensible Framework for Assessing Digital Health Innovation Hubs (DHI-HUB)

New information technologies are becoming an important part of the health care system. A priority both provincially and nationally is the establishment of an enhanced network of general practitioners using the latest information technologies to acquire, store and use patient information. This will involve deployment of person-centred digitally-enabled information technologies in a new structure known […]

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Automatic weld seam positioning on sheet metal enclosures by semi-supervised deep learning

Deep learning in computer vision has set new standards in mobile and web-based applications. The power of learning-based computer vision has also tremendous potential in machine vision. Traditionally, machine vision in manufacturing employs analytic solutions often resulting in excellent accuracy but poor robustness. The goal of this project is to increase robustness of a vision-based […]

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Multi-agent reinforcement learning for decentralized UAV/UGV cooperative exploration

Over the last decade, artificial intelligence has flourished. From a research niche, it has been developed into a versatile tool, seemingly on route to bring automation into every aspect of human life. At the same time, robotics technology has also advanced significantly, and inexpensive multi-robot systems promise to accomplish all those tasks that require both […]

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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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Generalized framework for Prescriptive Machine Learning using IoT datastreams.

Internet of things (IoT) includes of multitude of sensors from a wide variety of applications. These sensors produce high volume and high velocity data. Recently there has been much interest in application of such technologies to improve energy management and agricultural practices. The sensors that are installed in the field transmit real time data regarding […]

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Investigating multi-task learning in semantic parsing

Current research in semantic parsing suffers from lack of annotated data, which is hard to acquire. In this project, we aim at tackling the problem of converting natural language utterances to SQL language (Text-to-SQL) on complex databases in a low-resource environment. More specifically, we focus on the research of how multi-task learning (MTL) can help […]

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