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

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.
Oct 14, 2024 Paper titled ‘Monarch: Monitoring Architecture for 5G and Beyond Network Slices’ published in IEEE TNSM journal. Link

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