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Muhammad Bilal

4 papers hereh-index 25 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.NI2
  • cs.CR1
  • cs.NE1
same name
  • Muhammad Bilal — 10 papers, h 3
  • Muhammad Bilal — 5 papers, h 1
  • Muhammad Bilal — 3 papers, h 4
  • Muhammad Bilal — 3 papers, h 1
  • Muhammad Bilal — 3 papers, h 5
  • Muhammad Bilal — 3 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CR2026

AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation

Bilal Hussain, Muhammad Bilal, Tan Li +6

In sixth-generation (6G) networks, billions of cyber-physical systems (CPSs) - autonomous vehicles, smart grids, industrial robots, and remote-surgical equipment - will run over ul…

cs.NI2026

Certified Closed-Loop Control for Packet Networks: A Compositional Certification Framework

Muhammad Bilal, Jon Crowcroft, Xiaolong Xu +1

Packet networks are controlled dynamical systems with discontinuities, delayed observations, and partial state information. Adaptive or learning-driven proposers can improve perfor…

cs.NE2026

Network-Optimised Spiking Neural Network for Event-Driven Networking

Muhammad Bilal

Delay-coupled systems often require low-latency decisions from sparse telemetry, where dense fixed-step neural inference is wasteful and can degrade near stability margins. We intr…

cs.NI2025

Network-Optimised Spiking Neural Network (NOS) Scheduling for 6G O-RAN: Spectral Margin and Delay-Tail Control

Muhammad Bilal, Xiaolong Xu

This work presents a Network-Optimised Spiking (NOS) delay-aware scheduler for 6G radio access. The scheme couples a bounded two-state kernel to a clique-feasible proportional-fair…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.