Leading Research into Intelligent Systems
Ryerson Smart Campus
Objective: Our vision is to transform Ryerson University into a Smart Campus—an environment where all elements are optimized based on data.
Overview: A building within the campus has been equipped with sensors that provide real-time, streaming data. Data comes from HVAC units such as heating and water systems, while drones and cameras monitor buildings, traffic and more. The data collected from this building will inform the development of a Smart Campus Digital Twin—a digital simulation of the entire campus. Further research will focus on transforming large streaming data sets into actionable performance information.
Real-time Data Optimization
Objective: Improve the way streaming data is collected and managed across infrastructure.
Overview: This project with York University focused on the development of new analytical methods for streaming data. These methods were used to optimize the operation of a variety of assets and industries. A cloud platform with the ability to support real-time data collection and analysis was developed as part of this work.
Big Data Professional Program
Objective: We collaborate with the SFU Big Data researchers to deliver data-driven solutions to real-world problems.
Overview: Participants in this program support FuseForward’s work across the Intelligent Systems Alliance. Work to date has been focused on the collection and analysis of streaming data, with an emphasis on the visualization of advanced analytics.
An Expert Team
“FuseForward’s technology and expert team have been invaluable to our efforts to prototype new data modelling approaches for IoT Smart Building applications.
As a result of FuseForward’s input, we have significantly decreased the time and effort necessary to deploy new concepts and algorithms.”
Jenn McArthur, Associate Professor, Department of Architectural Science, Ryerson University
“The talented and knowledgeable staff at FuseForward have been important players in the success of Simon Fraser University’s (SFU) Big Data Initiative.
Their experience and technology have been vital to our success as we collaborate on data-driven solutions to challenging, real-world problems.”
Fred Popowich, Scientific Director, Simon Fraser University’s (SFU) Big Data Initiative
We are looking for new industry or academic partners that can help us achieve our goals. By participating in our network, you will be able to apply real-time and predictive analytics to your operations, and also implement new, innovative control systems.