Driven by cloud based applications and services, there are substantial worldwide research and commercialization efforts that are being directed toward improving the capacity of intra- and inter-data center networks. Intra-data center networks operate in the O-band (1260-1360 nm) over distances ranging from 0.5 m to 20 km, and inter-data center networks operate in the C-band […]

The project aims to develop the deep learning-based algorithm that translate the image style of specific object to the reference style. Firstly, the proposed research focuses on identifying the accurate region in image for style transfer, and then translating the image style in that region. Current techniques about image style transfer are struggling to focus […]

The objective of the research is to develop a system leveraging data captured for commercial building management systems (BMS) to take decisions in to reduce energy consumption without affecting comfort. The idea is to showcase how intelligent control can be implemented in existing BMS to optimize energy consumption. The project is divided in three parts: […]

“Biometric-enabled Sensing Technologies for Smart Cities” is a 4-year project dedicated to the research and development of smart sensing and monitoring devices and systems for applications in smart cities. The project is a collaboration between the Biometric Technologies Laboratory from the University of Calgary and Oasis Technologies Inc.. Stage one of the project consists of […]

The intern will be part of the ATCO Electricity Innovation Team and will support in delivering novel next generation prototypes that will define the future of the electricity grid in Alberta, broader Canada and globally. Some of the current projects in the portfolio includes smart EV charging, artificial intelligence based microgrids, home of the future […]

Trust lies at the very foundations of computer and information security, and is the basis for real-world schemes that require security properties, such as those that underlie consumer banking. Under this research project, we will investigate models for delegation of trust that meet desirable properties, for example, that guarantee that no security compromises occur unless […]

Recently, due to the widespread effects of “fake news”, a form of propaganda that is intentionally designed to mislead the reader, there has been a significant research effort to automate the process of detection of misinformation in social media. Although existing methods for automatic fake news detection are promising, distinguishing between true and false news […]

The rapid and widespread advancement of cyber-threats within the past few years has had a profound impact on virtually everyone, from ordinary people to governments to local organizations. This has caused cyber-security to be considered a global challenge, which is now requiring innovative solutions, such as incorporating human cognition based methods into the software algorithms […]

Today buildings, which account for 40% of the total global energy consumption, constitute large glazing surfaces given that windows provide the necessary spacious feel and direct daylighting for occupants. However, 60% of the heat loss through its exterior surface is attributable to glazed surfaces (windows). Therefore, it is not surprising that advanced fenestration products have […]

Limited driving range coupled with limited availability of fast charging facilities is a major obstacle for electric vehicle (EV) adoption. As battery technology improves for EVs to have fast charging capabilities, the demand for EV fast charging facilities is also increasing. However, fast charging stations do impose challenges to the electricity grid due to high […]

Underwater acoustic propagation modeling was largely advanced by the world’s Navies from WWII until the early 2000’s. Growing evidence of the effects of sounds from human activities on marine life has made propagation modeling relevant to a much broader community including marine biologists, ecologists, regulators and environmental non-governmental organizations. In this project we aim to […]

Recently, machine learning has been used in every possible field to leverage its amazing power. In this project we employ and advance machine learning algorithms for analysis of networks log data due to extraction of informative features. These data, which are recorded every millisecond, are usually high dimensional and imbalanced where no class label is […]