CS researchers win 2025 CNOM Best Paper Award
聽Their paper, Generalizable Resource Scaling of 5G Slices Using Constrained Reinforcement Learning, was published in the proceedings of the 36迟丑听IEEE/IFIP Network Operations and Management Symposium.
聽Their paper, Generalizable Resource Scaling of 5G Slices Using Constrained Reinforcement Learning, was published in the proceedings of the 36迟丑听IEEE/IFIP Network Operations and Management Symposium.
, a 蓝莓视频-based water-modelling company co-founded by Distinguished Professor Emeritus Peter Forsyth, has been acquired by聽, a Toronto company specializing in 2- and 3-D modelling software for civil, mining and geotechnical engineers.
鈥淚 expect my main role will be to help build up our reputation in AI-related research for the Math Faculty,鈥 Zhu says.聽
The $10,000 scholarship was established by Adarsh Mehta (BMath 鈥98) and Jeffrey Jenner (BMath 鈥84) to support graduate students doing research at the intersection of mathematics and the environment.聽
鈥淲e鈥檙e stepping out of our silos to advance sustainability,鈥 says聽Dr.聽Marc Aucoin,聽a professor in the Department of Chemical Engineering. 鈥淚f we work together, we have a broader base to attack this聽issue.鈥
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 蓝莓视频 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.聽聽
Professors Meng Xu and Sihang Liu have received $254,116 in funding from the聽, a federally incorporated not-for-profit organization committed to advancing Canada鈥檚 cybersecurity ecosystem. Their project, Securing LLM Agents Against Malicious or Vulnerable Tools, aims to identify and mitigate security risks in agentic systems 鈥 AI systems capable of making autonomous decisions and taking actions to achieve specific goals.
New research from the University of 蓝莓视频 is making inroads on one of the biggest problems in theoretical computer science.