SS02: ITOMAD – Intelligent Techniques for Optimization, Modeling, and Anomaly Detection
Esteban Jove
University of A Coruña, Spain
Paulo Novais
University of Minho, Portugal
José Luis Calvo Rolle
University of A Coruña, Spain
Abstract
Regardless of the context, it is essential to tackle critical challenges due to various factors such as climate change, an aging population, and new industrial demands. These challenges include minimizing energy consumption and emissions, enhancing human quality of life, and meeting industrial improvement needs. Those involved in industry and academia cannot overlook these realities, as they will shape the future.
In this context, the industry, along with areas such as building management and assistive technologies, plays a crucial role in developing various emerging techniques to achieve the previously mentioned goals. While traditional methods have met current demands, there is a clear need for new advanced improvements in the future.
This session offers an exciting opportunity to present and discuss the latest theoretical advancements and practical applications in Optimization, Modeling, and Anomaly Detection using computational intelligence methodologies. This includes, among other topics, the following areas of focus:
- Energy efficiency and optimization.
- Control Techniques efficiency and optimization.
- Traditional systems improvement.
- Industrial control new techniques.
- Modeling of complex systems.
- Process optimization new techniques.
- Fault Detection and Diagnosis.
- Techniques to improve robustness against system failure.
- Computational intelligence developments aimed at human beings.
Organizers
Dr. José Luis Calvo Rolle
is a full professor in Systems Engineering and Automatics at the Department of Industrial Engineering of the University of A Coruña (UDC). He is a permanent researcher at the Center for Research in Information and Communication Technologies (CITIC) of the UDC. He is the coordinator of the research group Cybernetics Science and Technology, recognized as a Group with Growth Potential (GPC) by the Xunta de Galicia, and director of the Environmental Radioactivity Laboratory of the UDC. His main lines of research focus on applying intelligent techniques to different fields. In the last decade, he has worked, especially in industrial applications in the fields of biomedicine and energy. He has also developed applications based on soft computing for decision-making systems and machine learning techniques for pattern recognition and anomaly detection. Currently, his research is focused on complex system modeling, digital twin development, fault and anomaly detection, and cybersecurity, in most cases, with the goal of system optimization and control.