Al Amin

University of Maryland, Baltimore

Papers

1

Total Citations

3

H-Index

1

About

Al Amin is a rising researcher in next-generation wireless communications, with a focus on the intersection of 5G technology and human-machine interfaces (HMI). His work explores how 5G Reduced Capability (RedCap) protocols can enable seamless, low-latency, and energy-efficient interactions between humans and machines—critical for applications like remote control, industrial automation, and wearable devices. In his most-cited paper, "Enabling Human-Machine Interfaces with 5G RedCap: Architecture, Key Requirements, and Challenges" (2024), Amin systematically outlines the architectural demands and technical hurdles of integrating HMI with 5G, emphasizing the need for balanced data rates, ultra-low latency, and cost-effective solutions. Though early in his career, his work has already garnered attention, with 3 citations reflecting growing interest in this niche. Amin’s contributions are particularly notable for bridging the gap between 3GPP standards and practical HMI deployment, offering a roadmap for future research. His forward-looking approach positions him as a key voice in shaping how 5G can revolutionize user experiences across industries, from smart factories to healthcare.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Enabling Human-Machine Interfaces with 5G RedCap: Architecture, Key Requirements, and Challenges
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Maryland, Baltimore

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago