Research areas:
- Artificial Intelligence and Machine Learning for medical applications
- Clinical decision support systems
- Ultra-high-dimensional Boolean feature selection
- Specialized medical classification algorithms
- Applying Data Science methods to Network Medicine
- Graph-based electroencephalography analysis
- Machine Learning in modern power systems
- Integration of renewable energy resources