Ahmad Nagib
Current Position
Postdoctoral Fellow
Institution
Queen's University
Research Focus
Trustworthy AI for Networks
Industry Partner
Ericsson Canada

Biography

Pioneering trustworthy AI for next-generation wireless networks

Academic Journey

Ahmad Nagib received his Ph.D. from the School of Computing at Queen's University in 2024. He also holds B.Sc. and M.Sc. degrees from the Faculty of Computers and Artificial Intelligence at Cairo University. Currently, he is a Postdoctoral Fellow at the Queen's Telecommunications Research Lab (TRL), where he leads research efforts on AI for Next-Generation Wireless Networks (NGWNs).

He is particularly interested in exploring the practical challenges of deploying machine learning algorithms, particularly reinforcement learning (RL) and generative artificial intelligence (GenAI), in NGWNs.

Research Excellence

Ahmad is a leading contributor in the field of trustworthy reinforcement learning for NGWNs. His research work has resulted in a record of publications on the topic in several IEEE flagship venues, including:

Premier Journals

  • • Journal on Selected Areas in Communications (JSAC)
  • • Transactions on Network and Service Management (TNSM)
  • • IEEE Network Magazine

Top Conferences

  • • Global Communications Conference (GLOBECOM)
  • • International Conference on Communications (ICC)
  • • Local Computer Networks (LCN)

He has also delivered tutorials and talks on the subject at prominent venues including IEEE GLOBECOM, ICC, and ICMLCN. Ahmad has served as a reviewer and Technical Program Committee (TPC) member for most of these and other prominent venues.

Industry Partnership

Ericsson Canada Partnership

Ahmad is a strong advocate for collaboration between academia and industry. During his Ph.D. studies, he was actively involved in an industry-academia partnership with Ericsson Canada, where he had previously initiated work on trustworthy reinforcement learning as part of his Machine Learning Ph.D. Co-op.

Achievements & Recognition

Academic Excellence

Queen's Graduate Award
International Tuition Award
Ph.D. Research Achievement Award (Honourable Mention)
IEEE ComSoc Student Grant

Industry Recognition

13×
Recognized at Ericsson
Creativity Collaboration Leadership

Educational Timeline

PhD

Doctor of Philosophy

School of Computing, Queen's University • 2024

Thesis: Trustworthy Deep Reinforcement Learning Framework for O-RANs

MSc

Master of Science

Faculty of Computers and Artificial Intelligence, Cairo University

BSc

Bachelor of Science

Faculty of Computers and Artificial Intelligence, Cairo University

Research Impact

15+
Publications
5+
IEEE Venues
10+
Review Services

Ahmad has served as a reviewer and Technical Program Committee (TPC) member for prominent venues, including IEEE Communications Magazine, Transactions on Mobile Computing, Transactions on Communications, Communications Letters, Internet Computing, and Networking Letters.

Connect & Collaborate

Interested in trustworthy AI for wireless networks? Let's discuss potential collaborations.