--The development of computation intelligence techniques brings new opportunities to improve classical sensor fusion systems. This is especially applicable in new domains requiring a high degree of customized sensor fusion. Many real problems demand from robust solutions to operate in a operational conditions, usually dealing with wrong data, unpredicted behaviours, constraints, etc. In these cases, a representation of domain knowledge and appropriate heuristics can be the only way to develop acceptable solutions, combining the use of classical fusion techniques with higher level criteria to drive the system behaviour. The session covers the application of computational-intelligence paradigms in data fusion development, such as hybrid reasoning systems with sensor data and high-level representations of situations, adaptation mechanisms or distributed collaborative techniques. Artificial intelligence methods can be useful in complex or specific designs, where features such as learning, reasoning, coordinated autonomy, etc., are appealing means to deal with real data or dynamic situations where all details cannot predicted in advance.

--Dr. JESÚS GARCÍA HERRERO is currently an Associate Professor in Universidad Carlos III de Madrid, belonging to the Computer Science Department since year 2000. He received a degree in Telecommunication Engineering from Universidad Politécnica de Madrid in year 1996, and the PhD. degree by the same university since year 2001. He currently works in the research Group of Applied Artificial Intelligence. Before, he was part of the Data Processing and Simulation Group in Universidad Politénica de Madrid. He has participated in several national and European projects related to Air Traffic Management. His main interests are Computational Intelligence applied to Engineering aspects in the context of Data Fusion and Computer Vision, Navigation and Air Traffic Management (with especial stress in the contextualized systems).

--JOSÉ MANUEL MOLINA LÓPEZ is Associate Professor at the Universidad Carlos III de Madrid. He joined the Computer Science Department of the Universidad Carlos III de Madrid in 1993. Currently he coordinates the Applied Artificial Intelligence Group (GIAA). His current research focuses in the application of soft computing techniques (NN, Evolutionary Computation, Fuzzy Logic and Multiagent Systems) to radar data processing, air traffic management and e-commerce. He is author up to 20 journal papers and 80 conference papers. He received a degree in Telecommunication Engineering from the Universidad Politécnica de Madrid in 1993 and a Ph. D. degree from the same university in 1997.