Papers

13

Total Citations

60

H-Index

4

About

Monica Leba is a researcher at the intersection of brain-computer interfaces (BCI), robotics, and sustainable industrial automation. Her work focuses on translating neural activity into tangible control commands, as demonstrated in her most-cited paper, “Using brain-computer-interface for robot arm control” (16 citations), which analyzes how EEG signals can drive robotic systems. She has also advanced gesture-based control with Kinect and SSVEP-based BCI for robot swarms, while exploring exoskeletons for mobility-impaired users. In the context of Industry 4.0, Leba’s recent work on AI-driven arm movement estimation for sustainable wearable systems (2025, 4 citations) highlights her commitment to integrating artificial intelligence with cyber-physical systems. Her contributions extend to educational innovation, notably an educational model for graduation projects in automation and computer engineering (11 citations), and reliable wireless communication for hazardous environments (9 citations). With a career spanning from early articulated robotic arm simulation (2006) to contemporary motion capture analysis, Leba’s research consistently bridges theoretical principles with practical, human-centered applications. Her work has garnered over 50 citations, reflecting a growing impact in assistive robotics and intelligent control systems.

Research Focus

Key Achievements

4
H-Index
13
Papers
60
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Using brain-computer-interface for robot arm control
16 citations · 2017
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Universitatea Din Petrosani

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 0 days ago