Purpose
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
- Clustering
- Anomaly detection
- Optimization algorithms
Team
Viera Rozinajová
Lead and Researcher
Anna Bou Ezzeddine
Researcher
Gabriela Grmanová
Researcher
Daniela Chudá
Researcher
Peter Lacko
Researcher
Marek Lóderer
Researcher
Mária Lucká
Researcher
Matej Kloska
Research Engineer
Jozef Magdolen
Research Engineer
Philipp Miotti
Research Engineer
Michal Sandanus
Research Engineer
Martin Výboh
Research Engineer
Patrik Goldschmidt
PhD Student
Martin Mocko
PhD Student
Peter Pavlík
PhD Student
Samuel Budai
Research Intern
Dmytro Maksymchuk
Research Intern
David Seruga
Research Intern
Former members
Peter Pištek
Researcher 10/2020-07/2024
Peter Karas
Research Intern 08/2022 – 06/2024
Martin Garaj
Research Consultant 08/2022-06/2023
Petra Vrablecová
Researcher 10/2020-06/2023
Jakub Ševcech
Research Consultant 10/2020-02/2023
