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 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.

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.