Muhammad Ali Jamshed

University of Glasgow

Papers

2

Total Citations

32

H-Index

2

About

Muhammad Ali Jamshed is a leading researcher at the forefront of next-generation wireless communications, antenna systems, and intelligent edge computing. His work is pivotal in shaping the connectivity backbone for Industry 4.0 and beyond, where he explores how dynamic reconfigurable antennas can revolutionize smart manufacturing and industrial control. In his highly cited 2023 paper, Jamshed demonstrates how these adaptive antennas enable more resilient and flexible communication networks, a critical requirement for the digital transformation of global industries. He further advances the field by addressing the complexities of 5G-enabled industrial and Cooperative Intelligent Transport Systems (C-ITS). In his 2025 work, Jamshed introduces a Twin Delayed DDPG (TD3)-based algorithm for optimal edge server selection, a breakthrough that enhances the efficiency of the 3GPP edge computing architecture by intelligently routing user equipment requests through the Edge Enabler Layer. With his research accumulating over 30 citations in just a few years, Jamshed is recognized for bridging the gap between theoretical antenna design and practical, AI-driven network optimization, making him a key contributor to the future of autonomous, connected industries.

Research Focus

Key Achievements

2
H-Index
2
Papers
32
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Leveraging the Role of Dynamic Reconfigurable Antennas in Viewpoint of Industry 4.0 and Beyond
28 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Glasgow

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago