We address the current energy, environmental and cyber security challenges. By leveraging cutting-edge data analytics, we provide actionable insights and solutions that promote resource efficiency. The goal is to harness the power of artificial intelligence to create a future that is more resilient and environmentally sustainable for everyone.
Our primary focus in this research area is using advanced data analytics and machine learning methods to improve various aspects of smart grids, environment and cyber security.
We specialize in forecasting, cluster analysis, anomaly detection and optimization algorithms. Our research is focused on the design of intelligent methods for predicting energy consumption, energy production and environmental phenomena. We also concentrate on optimization of smart grids, modernization of energy systems in buildings and transportation, detection of security vulnerabilities and analysis of computer forensics.
RESEARCH AREAS OF INTEREST:
- Advanced data analysis
- Machine learning including deep learning
- Predictive modeling
- Anomaly detection
- Optimization algorithms