Papers

2

Total Citations

21

H-Index

2

About

Rami Ghannam is a researcher at the forefront of flexible electronics and next-generation wireless communications, bridging the gap between hardware innovation and system-level efficiency. His work centers on two key areas: developing advanced human–machine interfaces (HMI) using novel materials, and optimizing energy efficiency in ultra-reliable low-latency communications (URLLC) for industrial automation. Ghannam’s most cited paper, “Ultralight Smart Patch with Reduced Sensing Array Based on Reduced Graphene Oxide for Hand Gesture Recognition” (2022), introduces a breakthrough flexible sensor patch that overcomes the limitations of traditional glove-based or finger-mounted sensors, enabling full hand gesture capture for intuitive HMI. This work, with 17 citations, demonstrates his ability to create practical, wearable solutions. In parallel, his 2020 study on “Energy-Efficient Power Allocation in URLLC Enabled Wireless Control for Factory Automation Applications” tackles the critical challenge of real-time control in 5G-enabled robotic systems, proposing power allocation strategies that balance reliability and latency. Though early in its citation impact, this work addresses a vital need for Industry 4.0. Ghannam’s contributions are notable for their dual focus on tangible sensor hardware and the communication protocols that make such systems viable, positioning him as a versatile innovator in both materials science and wireless engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Ultralight Smart Patch with Reduced Sensing Array Based on Reduced Graphene Oxide for Hand Gesture Recognition
17 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Electronic Science and Technology of China, University of Glasgow

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago