Professor Mario Köppen

Editor in Chief, Applied Soft Computing (ASOC)
Editor in Chief, International Journal of Soft Computing and Networking (IJSCN)
Associate Editor, The International Journal of Hybrid Intelligent Systems (IJHIS)

Department of Computer Science and Electronics
Graduate School of Creative Informatics
Kyushu Institute of Technology. Japan
Speaker Bio

Mario Köppen was born in 1964. He studied physics at the Humboldt-University of Berlin and received his master degree in solid state physics in 1991. Afterwards, he worked as scientific assistant at the Central Institute for Cybernetics and Information Processing in Berlin and changed his main research interests to image processing and neural networks. From 1992 to 2006, he was working with the Fraunhofer Institute for Production Systems and Design Technology. He continued his works on the industrial applications of image processing, pattern recognition, and soft computing, esp. evolutionary computation. During this period, he achieved the doctoral degree at the Technical University Berlin with his thesis works: "Development of an intelligent image processing system by using soft computing" with honors. He has published more than 150 peer-reviewed papers in conference proceedings, journals and books and was active in the organization of various conferences as chair or member of the program committee, incl. the WSC on-line conference series on Soft Computing in Industrial Applications, and the HIS conference series on Hybrid Intelligent Systems. He is founding member of the World Federation of Soft Computing, and also Editor of the Applied Soft Computing journal. In 2006, he became JSPS fellow at the Kyushu Institute of Technology in Japan, and in 2008 Professor at the Network Design and Reserach Center (NDRC) and 2013 Professor at the Graduate School of Creative Informatics of the Kyushu Institute of Technology, where he is conducting now research in the fields of multi-objective and relational optimization, digital convergence and multimodal content management.

Tentative Title : Human-Centered Computing: Paradigms, Applications and Products


Human-Centered Computing (HCC) is a novel trans-disciplinary science linking the recently popular intelligent technologies (Artificial Intelligence, Computational Intelligence, Soft Computing, Machine Learning, Pattern Recognition) with all sensations of a human embodiment. HCC will usually integrate two or more techniques to tackle challenging problems or find a practical application, having the human or human sense expansion as a central theme: image and signal processing (the human visual system), networking and collaborative systems (the human as a social being), security, physiology/psychology, sentiment analysis, smart recommendation systems, science of preferences, up to aspects of political economy and complex systems theory. In this talk, starting with the more fancy discussion whether it's now better to say "human-centered" or "human-centric," it will be shown why a single technique isn't sufficient to solve a number of tasks and why the integration is necessary. The question whether there is a "human way" of computing, different from what a typical computer is doing these days, will find a positive and intuitive answer.

Professor Vincenzo Loia

Editor in Chief, Ambient Intelligence and Humanized Computing
Editor in Chief, Soft Computing
Associate Editor of IEEE Transactions on Industrial Informatics
Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems

Department of Computer Science
University of Salerno. Italy
Speaker Bio

Vincenzo Loia received B.S. degree in computer science from University of Salerno , Italy in 1985 and the M.S. and Ph.D. degrees in computer science from University of Paris VI, France, in 1987 and 1989, respectively. From 1989 he is Faculty member at the University of Salerno where he teaches Safe Systems, Situational Awareness, IT Project & Service Management. His current position is as Chair and Professor of Computer Science at Department of Management and Innovation Systems. He is the editor-in-chief for special issues in Soft Computing Springer, editor-in-chief of Ambient Intelligence and Humanized Computing Springer, and editor-in-chief of Journal of Evolutionary Intelligence, Springer. He is an Associate Editor of various journals, including the IEEE Transactions on System, Man and Cybernetics: Systems; IEEE Transactions on Fuzzy Systems; IEEE Transactions on Industrial Informatics; IEEE Transactions on Cognitive and Developmental Systems. His research interests include soft computing, agent technology for technologically complex environments Web intelligence, Situational Awareness He was principal investigator in a number of industrial R&D projects and in academic research projects. He is author of over 400 original research papers in international journals, book chapters, and in international conference proceedings. He hold in the last years several role in IEEE Society in particular for Computational Intelligence Society (Chair of Emergent Technologies Technical Committee, IEEE CIS European Representative, Vice-Chair of Intelligent Systems Applications Technical Committee).

Tentative Title : Towards Safe and Smart Cities : some experiences and results blending Situational Awareness and Computational Intelligence


Situation Awareness is usually defined in terms of what information is important for a particular job or goal. Most of the problems with Situation Awareness occur at the level “Perception” and “Comprehension” because of missing information, information overload, information perceived in a wrong way (e.g., noise) or also information not pertinent with respect to the specific goal. Thus, the current situation must be identified, in general, in uncertainty conditions and within complex and critical environments. In this case, it is needed an effective hybridization of the human component with the technological (automatic) component to succeed in tasks related to Situation Awareness. Situation Awareness oriented systems have to organize information around goals and provide a proper level of abstraction of meaningful information. To answer these issues, we propose a Cognitive Architecture, for defining Situation Awareness oriented systems, that is defined by starting from the well known Endsley’s Model and integrating a set of Computational Intelligence techniques to support the three main processes of the model (perception, comprehension and projection).