• Dr. Giovanni Acampora, Ph.D.
  Department of Mathematics and Computer Science, University of Salerno, Salerno, Italy
• Prof. Vincenzo Loia, Ph.D.
  Department of Mathematics and Computer Science, University of Salerno, Salerno, Italy

Space is limited. Reserve your Webinar seat now at:
https://www2.gotomeeting.com/register/943983130

• IEEE Toronto Signals & Computational Intelligence Chapter
• IEEE Italy Section Computational Intelligence Chapter
• IEEE Computational Intelligence Society
• IEEE CIS Standard Committee
• IEEE Region 7 (IEEE Canada)

Fuzzy control theory is the most widely used application of fuzzy logic providing an adequate methodology for designing and developing controllers capable of supplying high quality performance in environments characterized by high level of uncertainty and imprecision. However, in spite of these unquestionable advantages, the development time of a fuzzy system may be very expensive if the designers need to implement the same controller on a collection of heterogeneous hardwares or if they want to exploit the possibility to collect different controllers in terms of an active and cooperative virtual organization. This webinar introduces the Fuzzy Markup Language(FML), an XML-based markup language skilled for defining a detailed structure of fuzzy controllers that is independent from its hardware representation and, as consequence, enables the device independence and transparency during the control design activities. The webinar main aim is to propose the Fuzzy Markup Language as a reference point inside the computational intelligence and industrial communities by acting as: 1) a standard and common representation tool for implementing fuzzy controllers on hardware from different manufacturers and 2) as a framework for performing an efficient distribution of pieces of the global control flow over the different computers by exploiting distributed computing approaches as, for instance, the Multi-Agent systems.

FML standardization is currently under completion within the realm of the Task Force of New Standard Proposals (2010). This task force acts inside the IEEE CIS Standards Committee that supports the important mission of proliferating computational intelligence technologies in a wide range of research, education, and application areas by facilitating critical standard interaction between various general purpose intelligent technologies and specific application areas.

• Giovanni Acampora received the Laurea (cum laude) and Ph.D. degrees in computer science from the University of Salerno, Salerno, Italy, in 2003 and 2007, respectively. Since 2007, he has been a Research Associate in the Department of Mathematics and Computer Science, University of Salerno. He is also a Member of the Multi-Agent Laboratory at the University of Salerno and scientific co-responsible of CORISA Research Centre. From September 2003 to June 2007, he was also involved in CRDC-ICT Domotic project, where he was engaged in the research on multi-agent systems and artificial intelligence applied to ambient intelligence environments. He designed the fuzzy markup language, an XML-based environment for modeling transparent fuzzy systems. His current research interests include novel algorithms design approaches inspired by natural systems as swarm intelligence, evolutionary, and memetic strategies, investigating the designing of novel human–computer interaction systems based on integration among haptic hardware, virtual reality and augmented reality technologies, formal methods from language theory area, and on the study of temporal effects on the behavior of fuzzy systems modeled through fuzzy controllers and fuzzy cognitive maps. He also serves as reviewer for several international journals and conferences. Dr. Acampora is a member of the IEEE Computational Intelligence Society Technical Committee on Standards.
  http://www.dmi.unisa.it/people/acampora/www/Home.html
  
  
• Vincenzo Loia received the Bachelor’s degree from the University of Salerno, Salerno, Italy, in 1984 and the Ph.D. degree from the University of Paris VI, Paris, France, in 1989, both in computer science. Since 1989, he has been in the Department of Mathematics and Computer Science, University of Salerno, where he is currently a Professor of computer science and engaged in teaching operating systems and multiagent-based systems. He was a Principal Investigator in a number of industrial research and development projects and in academic research projects. He is the author of more than 180 original research papers published in international journals, book chapters, and in international conference proceedings. He edited five research books of agent technology, Internet, and soft computing methodologies. He is the cofounder of the Soft Computing Laboratory and founder of the Multi Agent Systems Laboratory, both at the Department of Mathematics and Computer Science, University of Salerno. His research interests include merging soft computing and agent technology to design technologically complex environments, with particular interest in web intelligence and ambient intelligence applications. He is the Co-Editor-in Chief of Journal of Soft Computing, and founder and Editor-in-Chief of Journal of Ambient Intelligence and Humanized Computing. He also serves as Editor in a dozen of international journals. Dr. Loia is the Chair of the "Intelligent Agents," Task Force in Emergent Technologies Technical Committee, IEEE Computational Intelligence. He is also a member of the International Technical Committee on Media Computing, IEEE Systems, Man and Cybernetics Society.
  http://www.dmi.unisa.it/people/loia/www/Home.html