On Monday, November 18, the Faculty of Computer Science at the Complutense University of Madrid hosted the conference titled “Anomaly Detection based on Virtual Sensors and One-Class Techniques,” given by Esteban Jove Pérez, a researcher at the CITIC Research Center of UDC.

During the conference, Esteban Jove presented his latest advances in the field of anomaly detection, a crucial area for ensuring the operability of systems in sectors such as medicine, industry, and telecommunications. Throughout his presentation, he discussed two innovative approaches to address this challenge. The first, the development of virtual sensors, uses intelligent hybrid models to detect anomalous situations in complex systems. The second approach is based on one-class techniques, which identify anomalies from expected behavior patterns, highlighting their relevance in cybersecurity and other industrial fields.

The CITIC researcher provided a comparative analysis of both strategies, illustrating their applications in real systems and emphasizing the importance of these technologies for the maintenance and improvement of industrial and energy systems. The conference also served as a platform to discuss how these techniques can be implemented to improve the accuracy and efficiency in detecting faults and threats.

Esteban Jove Pérez is a researcher at CITIC, a member of the Cybernetic Science and Technology research group at the University of A Coruña. After obtaining his PhD from the University of La Laguna in 2020, his research has focused on the development of intelligent hybrid systems and advanced techniques for anomaly detection.