Aqeel Al‐Ani

University of Anbar

Papers

3

Total Citations

15

H-Index

2

About

Dr. Aqeel Al‐Ani is a rising researcher at the forefront of intelligent robotics and human-machine interaction. His primary research areas include brain-computer interfaces (BCIs), robotic control systems, and real-time automation. Dr. Al‐Ani’s most impactful contribution is the integration of synthetic EEG signals with sliding mode controllers to enable intuitive, real-time control of robotic arms—a breakthrough detailed in his 2025 paper, which has already garnered 11 citations. This work paves the way for assistive robotics and neuroprosthetics. He has also advanced industrial robotics by optimizing SCARA robot performance through image processing for safer, faster object handling, and developed service robots with RFID-based intelligent systems for enhanced human-robot communication. With a growing citation record and a focus on bridging neural signals with mechanical systems, Dr. Al‐Ani is establishing himself as an innovator in next-generation robotic control and autonomous service systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
15
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Performance and Latency Analysis of EEG Signal for Control System of Robotic Arm Movements Based on Sliding Mode Controller
11 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Anbar

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago