CS researchers win 2025 CNOM Best Paper Award
Their paper, Generalizable Resource Scaling of 5G Slices Using Constrained Reinforcement Learning, was published in the proceedings of the 36th IEEE/IFIP Network Operations and Management Symposium.
Their paper, Generalizable Resource Scaling of 5G Slices Using Constrained Reinforcement Learning, was published in the proceedings of the 36th IEEE/IFIP Network Operations and Management Symposium.
Aquanty Inc., a Waterloo-based water-modelling company co-founded by Distinguished Professor Emeritus Peter Forsyth, has been acquired by Rocscience, a Toronto company specializing in 2- and 3-D modelling software for civil, mining and geotechnical engineers.
“I expect my main role will be to help build up our reputation in AI-related research for the Math Faculty,” Zhu says.
The $10,000 scholarship was established by Adarsh Mehta (BMath ’98) and Jeffrey Jenner (BMath ’84) to support graduate students doing research at the intersection of mathematics and the environment.
“We’re stepping out of our silos to advance sustainability,” says Dr. Marc Aucoin, a professor in the Department of Chemical Engineering. “If we work together, we have a broader base to attack this issue.”
The Test-of-Time Award honours a paper presented 15 years earlier that has had a significant and lasting impact on the theory and practice of cryptography and information security.
Three Waterloo computer science professors are at the forefront of two new research initiatives that are developing cutting-edge, inclusive, and trustworthy AI systems.
Vaccination rates are falling in many communities due to widespread misinformation and previously eliminated or controlled illnesses like measles are surging across the United States and Canada.
Professors Meng Xu and Sihang Liu have received $254,116 in funding from the National Cybersecurity Consortium, a federally incorporated not-for-profit organization committed to advancing Canada’s cybersecurity ecosystem. Their project, Securing LLM Agents Against Malicious or Vulnerable Tools, aims to identify and mitigate security risks in agentic systems — AI systems capable of making autonomous decisions and taking actions to achieve specific goals.
New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science.