The activities of the team of Learning Systems and Cybernetics Lab (LSCLab) are focused on the theoretical aspects of machine learning, data mining, big data analytics, and computational intelligence and their applications for cybernetics and security of cyber-physical systems. The principal research methodology of the lab is the development of novel techniques for learning from data streams under harsh conditions. The key framework of industrial activities of the laboratory is instead the application of learning and cybernetics techniques to guarantee the secure and safe operations of cyber-physical energy and power systems.