Information fusion has become increasily relevant during the last years. One of the reasons is the growing importance as rapid advances in sensor technology that provide information from the environment. The sensors can be used to enable information fusion applications in different environments such as remote sensing, surveillance, home care, etc. With the continuing expansion of the domain of interest and the increasing complexity of the collected information, intelligent techniques for fusion processing have become a crucial component in information fusion applications. The problem of Information Fusion has attracted significant attention in the artificial intelligence community, trying to innovate in the techniques used for combining the data and to refine state estimates and predictions. Intelligent systems can improve information fusion based on the context management aimed at supporting decision making, since the quality of decision making depends upon the quality of information at hand. A clear example are the multi-agent systems or the intelligent agents used for context-awareness that can provide both distributed fusion and advanced reasoning capabilities. Multi-agent systems can fusion information from different sources in a given environment and incorporate intelligent methods capable of facilitating decision support systems.

Research on Intelligent Systems and context-based information fusion has matured during the last decade and many effective applications of this technology are now deployed. This workshop provides an international forum to present and discuss the latest scientific developments and their effective applications, to assess the impact of the approach, and to facilitate technology transfer. It provides a framework to present, to discuss, and to disseminate the latest developments and the most important outcomes related to Intelligent Systems in context-based information fusion.


Intelligent Systems, Information Fusion, Intelligent techniques


This workshop is aimed at discussing research to develop information fusion methods using intelligent systems. These methods provide information fusion systems with advanced capabilities that allow them to have a dynamic response in view of potential changing situations in the environment. These systems are appropriate for developing dynamic and distributed systems, as they possess the capability of adapting themselves to the users and environmental characteristics. Both theoretical and practical approaches in the area are welcomed.

It will promote a forum for discussion on how Intelligent Systems and information fusion techniques, methods, and tools help system designers to accomplish the mapping between available technology and application needs. Other stakeholders should be rewarded with a better understanding of the potential and challenges of the Intelligent Systems in the information fusion approach.

This workshop intends to bring together researchers and developers from industry and the academic world to report on the latest scientific and technical advances on the application of intelligent systems for information fusion, to discuss and debate the major issues, and to showcase the latest systems.


Organizing Committee

  • Nayat Sánchez Pi, Rio de Janeiro State University (Brazil)
  • Luis Martí, Fluminense Federal University, (Brazil)
  • José M. Molina, University Carlos III of Madrid (Spain)
  • Javier Bajo, Technical University of Madrid (Spain)

Program Committee

  • José Manuel Molina – University Carlos III of Madrid (Spain)
  • Juan M. Corchado – University of Salamanca (Spain)
  • Nayat Sánchez Pi – Rio de Janeiro State University (Brazil)
  • Luis Martí – Fluminense Federal University, (Brazil)
  • Eduardo Segredo- Universidad de La Lagura
  • Jesús García Herrero – University Carlos III of Madrid (Spain)
  • Gabriel Villarrubia – University of Salamanca (Spain)
  • Javier Bajo – Technical University of Madrid (Spain)
  • Ana Cristina Bicharra García - Rio de Janeiro Federal University (Brazil)
  • Rosa Maria E. M. da Costa- Rio de Janeiro State University (Brazil)
  • Vera Maria B. Werneck- Rio de Janeiro State University (Brazil)
  • James Llinas - State University of New York at Buffalo (USA)
  • Luiz Satoru Ochi – Fluminense Federal University, (Brazil)


Nayat Sánchez

José M. Molina

Javier Bajo