Innovation & Discovery
Applied Research & Cognitive Data
I am working on EEG-based signal analysis using machine learning to understand cognitive patterns and mental states. I also explore personalized binaural beat generation based on these brainwave-related patterns to improve focus and relaxation.
Signal Processing (FFT Analysis)
Decomposing raw EEG data into frequency bands to extract features related to user focus and mental clarity.
ML-Based Cognitive Classification
Training machine learning models to classify mental states using time-series data from non-invasive hardware.
Personalized Binaural Generation
Exploring the creation of specialized audio frequencies designed to sync with user-detected cognitive states.
Academic Exploration + Practical Impact