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