- Research focused on recording and processing EEG signals from MS patients and normal group then using the recorded data for investigating the brain functional connectivity in MS patients in comparison to normal group
- Recording and processing EEG signals from hand or foot disabled patients for design and implementation of brain-computer interface system (BCI)
- Designing and using different MRI and fMRI image processing filters and various methods to estimate brain stem volume in patients
- Currently, combining neural networks and machine learning methods to design BCI systems with over 90% accuracy based on SSVEP