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A Universal AI-Powered IoT Platform for Smart Buildings: Data-Driven Insights with Privacy Focus

Key project details

Principal investigator Nizar Bouguila, professor, Concordia Institute for Information Systems Engineering, Concordia University

Co-principal investigators

Abdessamad Ben Hamza, professor, Concordia Institute for Information Systems Engineering, Concordia University; Manar Amayri, assistant professor, Concordia Institute for Information Systems Engineering, Concordia University

Research collaborators

Ursula Eicker, Canada Excellence Research Chair in Smart, Sustainable and Resilient Communities and Cities and director of the Next-Generation Cities Institute, Concordia University; Maya Ezzeddine, sustainability leader, Digital Buildings, Schneider Electric; Youcef Chaoua, senior software engineering manager, Schneider Electric; Negar Ghourchian, VP Research & Development, Aerial Technologies
Non-academic partners Schneider Electric, Aerial
Research Keywords building efficiency, smart buildings, iot platform, data quality, explainable, machine learning, interactive learning, transfer learning, federated learning
Budget Cash: $222,000 In-Kind: $382,000

Research focus

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. The image shows a software interface with main layers and services listed on the left side, including options for 'Built Environment', 'Transport', 'Energy', 'Waste' and 'Ecosystem'.

Artificial Intelligence (AI)

Smart buildings, with the help of Artificial Intelligence (AI), can save energy and make the experience better for people inside. To make more efficient energy consumption AI can be used in energy management, personalized climate control, predictive maintenance and smart lighting.

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. It features a services menu with options such as 'Building Info', 'Energy Demand' and 'Network Solution'.

Internet of Things (IoT)

One of the leading focuses of this project is on developing an Internet of things (IoT) platform that allows offering energy-saving related services. By deploying AI and IoT technologies a universal AI-powered IoT platform will be developed that aims to overcome the challenges posed by: the diversity of sensors, technologies and buildings characteristics; quality of collected data; complexity of data labelling; and privacy issues.

Non-academic partners

Thank you to our non-academic partners for your support and trust.

Get in touch with the Volt-Age team

volt-age@concordia.ca

Volt-Age is funded by the Canada First Research Excellence Fund (CFREF)

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