The 20th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2025) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. Hybrid intelligent systems are popular due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty and vagueness, high-dimensionality. They provide us with the opportunity to use both, our knowledge and row data to solve problems in a more interesting and promising way.
HAIS Series of Conferences provides an interesting opportunity to present and discuss the latest theoretical advances and real-world applications in this multidisciplinary research field.
General chair.
Full Professor in computer and automatic science with the University of Salamanca, Spain. CEO & Founder of Startup OLE.
He has published over 100 peer-reviewed articles. He has actively contributed to several current projects in the EU.
University of A Coruña
Full Professor in the Computer Science Division, director of the Master’s Degree in Computer Science and head of the Data Science and Big Data Research Lab at Pablo de Olavide University. Her research areas of interest includes time series forecasting, explainability and green artificial intelligence.
Full Professor and led the Department of Mechanical, Computer, and Aerospace Engineering at the University of León from 2015 to 2023. She is the General Director of the Supercomputing Center of Castilla y León. Her research area focuses on the application of artificial intelligence for the optimization of industrial processes.
Full Professor of Automatic Control, coordinator of the research group cybernetics science and technique, and the head of the Industrial Engineering Department at University of A Coruña, Spain. His research interests include intelligent systems for control engineering, optimization, modeling, fault detection, and education.
Head of the EDMANS group and a Professor at the University of La Rioja, Logroño, Spain. His research interests include soft computing, data mining, and machine learning methods to solve problems in several fields, such as industry, energy, agriculture, and business.
Vicedean of external relationships of the faculty of engineering of the University of Deusto. He is also head researcher of the applied artificial intelligence research team, Deusto for Knowledge - D4K. His research pivotes over AI and machine learning applied to cybersecurity and smart manufacturing.
Full Professor in the Data Science and Big Data Lab at Pablo de Olavide University. His main research lines include time series forecasting, data science and big data analytics, with more than 190 papers published. He has led many national and international research projects.
Full Professor in Artificial Intelligence at the Higher Polytechnic School of the University of Burgos (Spain). He has co-authored more than 180 scientific publications. His main research interests are related to applied Artificial Intelligence (AI) to industrial systems, cybersecurity, environmental sciences, eHealth, and business management among others.
Researcher at the Department of Managing, Information and Production Engineering at University of Bergamo (Italy). Assistant teacher of "Languages and Compilers", "Database" and "Web Programming". His research interests include BigData and NoSQL Databases, SmartCities, Machine Learning.
Sergio Ramos received the MSc. and the Ph.D. degree in electrical and computer engineering from the Instituto Superior Tecnico (IST), University of Lisbon, Lisbon, Portugal, in respectively 2006 and 2015. He is currently a Associate Professor with the Polytechnic Institute of Porto, Porto. His research interests include data mining, artificial intelligence, power systems, electricity markets, renew able energy resources management, shared PV generation, and energy communities.
