Aamir Mahmood
Papers
4
Total Citations
148
H-Index
4
About
Aamir Mahmood is a leading researcher at the forefront of next-generation wireless networks for industrial automation, with his work bridging the gap between Industry 4.0 and the emerging Industry 5.0 vision. His research focuses on intelligent, softwarized network architectures, particularly Open RAN (O-RAN) slicing and ultra-reliable low-latency communications (URLLC) for the Industrial Internet of Things (IIoT). Mahmood’s most impactful contribution is the design of an elastic O-RAN slicing framework for industrial monitoring and control, which leverages distributed matching games and deep reinforcement learning to dynamically allocate network resources—a paper that has garnered 56 citations since 2022. He has also authored two highly-cited surveys (52 and 30 citations) that define the Industry 5.0 paradigm, emphasizing resilient, sustainable, and human-centric wireless systems for factories-of-the-future. His earlier work on timing advance in indoor multipath channels for URLLC (10 citations) addresses critical synchronization challenges in 5G-enabled industrial automation. Mahmood’s research is pivotal in shaping how intelligent, softwarized networks will enable the next industrial revolution, making him a key voice in the transition toward human-centric, resilient, and sustainable wireless ecosystems.
Research Focus
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Top Papers
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