Event Chairs

Kurosh Madani University of Paris-EST Créteil (UPEC) France

Brief Bio
Kurosh Madani is graduated in fundamental physics in June 1985 from PARIS 7 – Jussieu University. He received his MSc. in Microelectronics and chip architecture from University PARIS 11 (PARIS-SUD), Orsay, France, in September 1986. Received his Ph.D. in Electrical Engineering and Computer Sciences from University PARIS 11 (PARIS-SUD), Orsay, France, in February 1990. In 1995, he received the DHDR Doctor Hab. degree (senior research doctorate degree) from University PARIS 12 – Val de Marne. He works as Chair Professor in Electrical Engineering of Senart-FB Institute of Technology of University PARIS-EST Creteil ( UPEC), France. From 1992 to 2000 he has been creator and head of DRN (Neural Networks Division) research group. From 2001 to 2004 he has been head of Intelligence in Instrumentation and Systems Laboratory (I2S / JE 2353) of UPEC. Co-creator of Images, Signals and Intelligent Systems Laboratory (LISSI / EA 3956) of UPEC in 2005, head of Intelligent Machines & Systems” research team of LISSI, he is also Vice-director of this laboratory. He has worked on both digital and analog implementation of massively parallel processors arrays for image processing, electro-optical random number generation, and both analog and digital Artificial Neural Networks (ANN) implementation. His current research interests include: - Complex structures and behaviors modeling, - self-organizing, modular and hybrid neural based information processing systems and their real-world and industrial applications, - humanoid and collective robotics - intelligent fault detection and diagnosis systems. ... More >>

Kevin Warwick (honorary) University of Reading and Coventry University United Kingdom http://www.kevinwarwick.com/

Brief Bio
Kevin Warwick is Professor of Cybernetics at the University of Reading, England, where he carries out research in artificial intelligence, control, robotics and biomedical engineering. He took his first degree at Aston University, followed by a PhD and research post at Imperial College London. He subsequently held positions at Oxford, Newcastle and Warwick Universities before being offered the Chair at Reading. He is a Chartered Engineer (CEng.) and is a Fellow of The Institution of Engineering & Technology (FIET). Kevin Warwick is the youngest person ever to become a Fellow of the City & Guilds of London Institu te (FCGI). He is the author or co-author of more than 500 research papers and has written or edited 27 books (three for general readership), as well as numerous magazine and newspaper articles on scientific and general subjects.
Kevin has been awarded higher doctorates (DSc) both by Imperial College and the Czech Academy of Sciences, Prague and has received Honorary Doctorates from 6 Universities. He has appeared in the Guiness Book of Records for his research on several occasions and is perhaps best known for his implant self-experimentation, linking his own nervous system with a computer network.
The Institute of Physics selected Kevin as one of only 7 eminent scientists to illustrate the ethical impact their scientific work can have: the others being Galileo, Einstein, Curie, Nobel, Oppenheimer and Rotblat. ... More >>

Jonathan Garibaldi University of Nottingham United Kingdom http://www.cs.nott.ac.uk/~jmg/home.shtml

Brief Bio
Prof Jon Garibaldi's main research interest is in the modelling of human decision making, primarily in the context of medical applications. His work to date has concentrated on utilising fuzzy logic to model the imprecision and uncertainty inherent in medical knowledge representation and decision making. This has been applied in areas such as classification of breast cancer, identification of Alzheimer's disease, and the assessment of immediate neonatal outcome. A particular interest is in the transfer of medical intelligent systems into clinical use and this has led to the study of methods of evaluating intellig ent systems and mechanisms for their implementation. Prof Garibaldi also has an interest in generic machine learning, such as clustering, classification and optimisation, particularly when applied to the optimisation of decision making models, and in the study of adaptive and time-varying behaviour. ... More >>