Papers

2

Total Citations

29

H-Index

2

About

Rashima Mahajan is a pioneering researcher in the field of neural engineering and brain-computer interfacing (BCI), with a focused expertise in developing real-time, non-invasive systems that bridge human cognition and machine control. Her most cited work, "EEG-Based Brain-Computer Interfacing (BCI)" (2019), has garnered 26 citations, establishing her as a key contributor to the advancement of EEG-driven assistive technologies. Mahajan’s major contribution lies in her innovative approach to creating practical man-machine interfaces, as demonstrated in her 2015 study on real-time control using deliberate eye blinks. This work, which acquired and processed EEG signals in MATLAB, addresses the growing demand for neural-controlled robotic systems that benefit both physically challenged individuals and healthy users seeking enhanced performance. By focusing on reliable, real-time signal processing and independent component analysis, Mahajan has helped bridge the gap between theoretical BCI research and tangible applications. Her research continues to influence the development of accessible, neural-driven control systems, making her a notable figure in the intersection of biomedical engineering and human-computer interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
29
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
EEG-Based Brain-Computer Interfacing (BCI)
26 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Manav Rachna International Institute of Research and Studies

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago