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International Workshop on Artificial Neural Networks and Intelligent Information Processing - ANNIIP 2014

1 September, 2014 - Vienna, Austria

In conjunction with the 11th International Conference on Informatics in Control, Automation and Robotics - ICINCO 2014


Kurosh Madani
University of Paris-EST Créteil (UPEC)
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. Author and coauthor of more than 250 publications (in international journals, books, conferences’ and symposiums’ proceedings), he has been regularly invited as key-note and invited lecture by international conferences and symposiums. 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. Member of IEEE, permanent member of “Awareness Science and Technology” technical committee of IEEE-SMC and member of ACM, since 1996 he is a life-member (elected Academician) of International Informatization Academy. In 1997, he was also elected as permanent Academician (life-member) of International Academy of Technological Cybernetics.


Theoretical, applicative and technological challenges, emanating from nowadays' industrial, socioeconomic or environment needs, open every day new dilemmas to solved and new challenges to defeat. Bio-inspired Artificial Intelligence and related topic have shown its astounding potential in overcoming the above-mentioned needs. It is a fact and at the same time a great pleasure to notice that the ever-increasing interest of both confirmed and young researchers on this relatively juvenile science, upholds a reach multidisciplinary synergy between a large number of scientific communities making conceivable a forthcoming emergence of viable solutions to these real-world complex challenges.
ANNIIP takes part in appealing intellectual dynamics created around bio-inspired Artificial Intelligence by offering a privileged space to refit and exchange the knowledge about state of the art and further theoretical advances, new experimental discoveries and novel technological improvements in this promising area. The goal is to bring together different representative actors (from academia, industry, government agencies, etc...) to exchange ideas, to debate divergences and to construct convergences around these propitious concepts.

Topics of Interest
Topics of interest include, but are not limited to:

  • Bio-inspired Artificial Neural Networks
  • Hybrid Information Processing
  • Hierarchical Artificial Neural Network Models and Systems
  • Intelligent Sensors and Smart Instrumentation
  • Self-organizing Systems
  • Self-diagnosable Machines
  • Self-optimizing Systems
  • Artificial Neural Networks based Cooperative Systems
  • Social Behaviour based Systems
  • Multi-agent and Distributed Intelligent Systems
  • Neuro-Fuzzy and Fuzzy Logic based Systems
  • Complex Intelligent Artificial Systems
  • Artificial Neural Networks' Software and Hardware Issues
  • Artificial Intelligent Systems' Software and Hardware Issues
  • Modular Artificial Neural Network based Systems
  • Modular Implementation of Artificial Neural Networks
  • Stability and Instability in Artificial Neural Networks
  • Cooperative Robots and Applications
  • Humanoid Robots
  • Application of Artificial Neural Networks and Intelligent Systems:
    • Artificial Neural Networks based Pattern Recognition
    • Artificial Neural Networks based Signal Processing
    • Artificial Neural Networks based Image Processing
    • Artificial Neural Networks based Data Fusion
    • Artificial Neural Networks based Data Mining
    • Artificial Neural Networks based Decision
    • Artificial Neural Network based Control
    • Artificial Neural Network based System Identification
    • Artificial Neural Network in Robustness and Safety
    • Artificial Neural Network in Management and Financial Applications
    • Artificial Neural Network based Solutions for Industrial Environment


Paper Submission: June 23, 2014 (expired)
Authors Notification: July 10, 2014 (expired)
Camera Ready and Registration: July 18, 2014 (expired)


Veronique Amarger, University PARIS-EST Creteil (UPEC), France
Arash Bahrammizaei, Images, Signals, and Intelligent Systems Laboratory (LISSI / EA 3956), Paris-XII University, France
Wajdi Bellil, University of Gafsa, Tunisia
Xu Bo, Nanjing University, China
Samia Bouchafa, IBISC - Univ EVE, France
Ivan Budnyk, N/A, France
Abdennasser Chebira, University PARIS-EST Creteil (UPEC) / LISSI Lab., France
Mu-Song Chen, Da-Yeh University, Taiwan
Amine Chohra, Paris-East University (UPEC), France
Khalifa Djemal, University of Evry Val d'Essonne, France
Vladimir Golovko, Brest State Technical University, Belarus
Robert Hiromoto, University of Idaho, United States
Serge Miguet, Université Lumière Lyon 2, France
Ramón Moreno, OPTIMITIVE S.L, Spain
Vincenzo Piuri, Università degli Studi di Milano, Italy
Lucile Rossi-Tison, lUniversité de Corse, France
Christophe Sabourin, IUT Sénart, University Paris-Est Creteil (UPEC), France
Anatoly Sachenko, Research Institute of Intelligent Computer Systems / Ternopil National Economic University, Ukraine
Lamine Thiaw, Ecole Superieur Polytechnique de Dakar, Senegal
Eva Volná, University of Ostrava, Czech Republic
Ting Wang, Nanjing University, China
Weiwei Yu, Northwestern Polytechnical University, China
Qiangfu Zhao, Aizu, University, Japan


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines and Templates.
Papers should be submitted electronically via the web-based submission system at: http://www.insticc.org/Primoris


All accepted papers will be published in the workshop proceedings book, under an ISBN reference and on CD-ROM support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).


ICINCO Workshops - ANNIIP 2014
e-mail: icinco.secretariat@insticc.org