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 |