Hi, I'm Ahmad Nagib
Building trustworthy machine learning for next-generation wireless networks. Postdoctoral Fellow at Queen's University, bridging cutting-edge research with real-world impact.
Research Focus Areas
Trustworthy AI
Developing safe and reliable deep reinforcement learning frameworks for critical network infrastructure.
O-RAN Networks
Pioneering intelligent network slicing and resource allocation for next-generation wireless systems.
Industry Impact
Collaborating with industry leaders like Ericsson to translate research into real-world solutions.
Recent Achievements
Ph.D. Successfully Defended!
Successfully defended my Ph.D. at Queen's School of Computing with a focus on trustworthy DRL frameworks for O-RANs.
Research Award Recognition
Received Honourable Mention for Queen's School of Computing Ph.D. Research Achievement Award.
Latest Updates
New Paper Accepted at ICMLCN 2025
"SafeSlice: Enabling SLA-Compliant O-RAN Slicing via Safe Deep Reinforcement Learning" accepted for presentation in Barcelona, Spain. Read the preprint.
Featured on Grad Chat Podcast
Discussed my research journey and insights on Queen's University Grad Chat podcast. Listen here.
Tutorial at IEEE GLOBECOM 2024
Delivered "Reinforcement Learning for Next-Generation Networks: The Road to Trustworthiness" tutorial in Cape Town - a milestone concluding my Ph.D. journey.