Researchers at the Cheriton School of Computer Science have been awarded more than $283k from the Canadian Foundation for Innovation to tackle national and global challenges.
The CFI funding announced today is part of the Government of Canada’s investment of $64 million in research infrastructure to support 251 projects at 40 universities across the nation. Of these nationally funded projects, 23 are to University of Waterloo investigators of which three are led or co-led by professors at the Cheriton School of Computer Science.
L to R: Professors Raouf Boutaba, Anita Layton and Jian Zhao
Professor Boutaba’s research interests are in management of resources, systems and services in wired and wireless networks, with current applications that include network virtualization, software-defined networking, network function virtualization, cloud and edge computing, 5G and beyond mobile communications networks, blockchains, and cybersecurity.
Professor Layton leads a diverse and interdisciplinary team of researchers who use computational modelling tools to better understand aspects of health and disease. Mathematics is their microscope. The Layton group collaborates with physiologists, biomedical engineers, computer scientists and clinicians to formulate detailed models of cellular and organ function.
Professor Zhao’s research focuses on information visualization, human-computer interaction, and data science. His research aims to boost the efficiency of real-world data analysis, exploration, and presentation activities that involve a large amount of data, various complicated models, and a diverse group of analysts.
“Canada is world-renowned for our state-of-the-art institutions and talented researchers,” said the Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry. “Through this Fund, our government is strengthening our leadership and competitive advantage by supporting Canadians to pursue discoveries, overcome challenges and innovate to make a more prosperous, equitable and sustainable future for all.”
| Project title | Funding amount | Investigators |
|---|---|---|
| Timely and privacy-preserving threat intelligence using machine learning | $85,000 | Raouf Boutaba, Professor and Director, Cheriton School of Computer Science |
| A data-informed model for predicting kidney outcomes | $118,221 | Anita Layton, Canada 150 Research Chair in Mathematical Biology and Medicine; Associate Dean, Research and International, Faculty of Mathematics; Professor of Applied Mathematics, with co-applicant Raouf Boutaba |
| Human-machine collaborative visual data exploration and analytics | $80,000 | Jian Zhao, Professor, Cheriton School of Computer Science |
