Muhammad Sulaiman

Ph.D. Candidate
University of Waterloo.

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DC 2554

200 University Ave. Waterloo, ON N2L 3G1

I am a Ph.D. candidate in the Systems and Networking Group Group at the University of Waterloo, working with Prof. Raouf Boutaba. I received my B.S. in Electrical Engineering from the National University of Sciences and Technology, Pakistan, in 2019, and joined Waterloo in 2020 for a Master of Mathematics (MMath) in Computer Science before transferring to the Ph.D. program.

My research focuses on 5G and beyond networks, AI-driven network management and orchestration, and software-defined networking. I am particularly interested in applying reinforcement learning and optimization techniques to build autonomous management systems for next-generation mobile networks. My work has been recognized with nominations for the IEEE/IFIP NOMS Best Paper Award in 2022 and 2023.

news

Nov 24, 2025 Received the best paper award from IEEE Communications Society Technical Committee on Network Operation and Management, 2025. Link
Jul 01, 2025 Paper titled ‘MicroOpt: Model-driven Slice Resource Optimization in 5G and Beyond Networks’ published in IEEE TNSM journal. Link
May 01, 2025 Joined Ericsson, Ottawa as a 5G AI/ML Software development intern.
Dec 21, 2024 Paper titled ‘vNetRunner: Per-VNF Slice Modeling for 5G and Beyond Networks’ accepted in IEEE/IFIP Network Operations and Management Symposium (NOMS 2025). Link
Nov 20, 2024 Conducted a 2-day workshop for Rogers on 5G testbed deployment, monitoring and AI-based optimization.

selected publications

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    Data-driven Online Slice Admission Control and Resource Allocation for 5G and Beyond Networks
    Muhammad Sulaiman, Bo Sun, Mohammad Ali Salahuddin, and 2 more authors
    2025
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    Coordinated Slicing and Admission Control Using Multi-Agent Deep Reinforcement Learning
    Muhammad Sulaiman, Arash Moayyedi, Mahdieh Ahmadi, and 3 more authors
    IEEE Transactions on Network and Service Management, 2023