Hi. I am a
01.
About Me
I specialize in Neural Engineering and Computational Intelligence, investigating the neural dynamics of Music Perception. I develop automated frameworks and interpretable models for complex biosignals.
I work on EEG and physiological signal analysis, focusing on neural dynamics during music perception and therapeutic interventions. I build interpretable machine learning pipelines and reproducible analysis frameworks for complex biosignals.
Neural Dynamics during Music Perception
Optimal multimodal feature combination and classifier selection for music-based EEG signal analysis
EEGOpt
Bayesian optimization-based automated EEG classification
Wavedeck EEG Library
Simple Python Library for wavelet-based EEG signal denoising
03.
My Research Expertise
1. Biosignal Processing
EEG/ECG preprocessing, artifact handling, feature extraction, and robust evaluation pipelines.
2. Machine Learning
Interpretable classification and representation learning for biosignals, with careful cross-validation design.
3. Nonlinear Dynamics
Complexity and dynamical systems metrics (fractal, entropy, chaos) applied to neural time series.
4. Music
Studying brain and autonomic responses during music perception and music therapy contexts.
5. Optimization Algorithms
Multi-objective optimization for channel/feature selection and model selection under real-world constraints.
04.
Skills & Tools
- User Research
- Wireframing/Prototyping
- Interaction Design
- Responsive Web Design
- Usability Testing
- Design Systems
DGPA: 8.13
Project: Preparation of Hydroxyapatite Bone Cement
CGPA: 9.05
Thesis: Effects of Indian Classical Music on Brain and Cardiovascular Dynamics
Project: Bio-signal analysis for pragmatic approach towards music therapy.
Thesis: Bio-signal analysis to study the effects and applications of music on mind and body.
Let’s work together
Have a project in mind? I’d love to hear your ideas and create something meaningful together. Let’s bring your vision to life.