John Sahaya Rani Alex
Papers
3
Total Citations
12
H-Index
2
About
John Sahaya Rani Alex is a researcher at the forefront of integrating neuroscience with robotics, specializing in Brain-Computer Interfaces (BCI) and deep learning. Her primary research focuses on decoding Motor Imagery (MI) from Electroencephalography (EEG) signals to control robotic arms, enabling intuitive, thought-driven movement for assistive technologies. In her highly cited 2022 work, she pioneered the use of Spiking Neural Networks (SNNs) for BCI-based robotic arm control, achieving precise lifting and dropping actions from neural signals. This built on her earlier 2020 deep learning approach, which demonstrated robust MI-EEG classification for external robotic manipulation. Beyond human-machine interfaces, Alex has also contributed to industrial automation, developing an IoT-based gas pipe leakage detector robot. Her work bridges fundamental neural signal processing with practical applications in rehabilitation and safety systems, earning her citations for advancing both BCI methodology and real-world robotic control.
Research Focus
Key Achievements
Top Papers
- 1BCI based Robotic Arm Control using MI-EEG and Spiking Neural Network5 citations · 2022
- 2
- 3Industrial IoT-Based Gas Pipe Leakage Detector Robot2 citations · 2020