Industrial Panel
Innovative Approaches and Future Challenges of Computational Intelligence in Real-World and Industrial Needs
SPEAKERS
Jérôme Lacaille, SAFRAN Snecma, France
Expert in Algorithms / Propulsion System Integration Eng.
Matthieu Voiry, Centre de Ressources Technologiques de Sénart, France
Expert in Soft-Computing Approaches / Honouree Consultant in CRTS
Guy Caverot, BA Systemes, France
Innovation & New Product Development Manager
Patrick Pirim, Brain Vision Systems, France
CEO / Brain Vision Systems
Improvement in a Decision Making Process Using Fusion Algorithms and Emergent Computing Techniques
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Jérôme Lacaille Expert in Algorithms / Propulsion System Integration Eng. SAFRAN Snecma France |
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Brief Bio
Emeritus Expert in algorithms for Safran international aeronautic group, he joined the Snecma Company in 2007 with responsibility for developing a health monitoring solution for jet engines. Holder of PhD in Mathematics from the Ecole Normale Supérieure (France), he has held several scientific positions. He has also co-founded the Miriad Technologies Company, entered the semiconductor business taking in charge the direction of the Innovation Department for Si Automation (Montpellier - France) and PDF Solutions (San Jose - CA). He developed specific mathematic algorithms integrated in industrial processes. Author and coauthor of several papers he is as well designer of industrial patented applications.
Emeritus Expert in algorithms for Safran international aeronautic group, he joined the Snecma Company in 2007 with responsibility for developing a health monitoring solution for jet engines. Holder of PhD in Mathematics from the Ecole Normale Supérieure (France), he has held several scientific positions. He has also co-founded the Miriad Technologies Company, entered the semiconductor business taking in charge the direction of the Innovation Department for Si Automation (Montpellier - France) and PDF Solutions (San Jose - CA). He developed specific mathematic algorithms integrated in industrial processes. Author and coauthor of several papers he is as well designer of industrial patented applications.
Industrial Application of Computational Intelligence: Optical Surfaces Defects' Detection and Classification
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Matthieu Voiry Expert in Soft-Computing Approaches / Honouree Consultant in CRTS Centre de Ressources Technologiques de Sénart France |
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Brief Bio
Matthieu Voiry graduated in 2002 from ENSEIRB (Ecole Nationale Supérieure d'Electronique, Informatique et Radiocommunication de Bordeaux) and received an MS degree in Cognitive Science in 2003 from Bordeaux 2 University. He worked on his PhD in Paris 12 Val-de-Marne University with Prof. Kurosh Madani, in collaboration with SAGEM REOSC company. After completing his PhD in Computer Science in 2008, he joined an innovative enterprise, Glaizer Group, where he has been R&D program manager until september 2011. His main research interests are optical sensors, image processing and artificial neural networks.
Matthieu Voiry graduated in 2002 from ENSEIRB (Ecole Nationale Supérieure d'Electronique, Informatique et Radiocommunication de Bordeaux) and received an MS degree in Cognitive Science in 2003 from Bordeaux 2 University. He worked on his PhD in Paris 12 Val-de-Marne University with Prof. Kurosh Madani, in collaboration with SAGEM REOSC company. After completing his PhD in Computer Science in 2008, he joined an innovative enterprise, Glaizer Group, where he has been R&D program manager until september 2011. His main research interests are optical sensors, image processing and artificial neural networks.
BA Systèmes and Research Laboratories: Cooperation Projects, Experiences in the Field of Robotics
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Guy Caverot Innovation & New Product Development Manager BA Systemes France |
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Brief Bio
Engineer of automatic systems. PhD in Strategy. His research topic has concerned innovation management and technological gate-keeping. He is an expert on "Industrial robotic" (added value from the research in robotic) and member of board robotic research group (GdR robotique) of CNRS.
Engineer of automatic systems. PhD in Strategy. His research topic has concerned innovation management and technological gate-keeping. He is an expert on "Industrial robotic" (added value from the research in robotic) and member of board robotic research group (GdR robotique) of CNRS.
Perceptual Processor, Results of a Bio-inspired Approach
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Patrick Pirim CEO / Brain Vision Systems Brain Vision Systems France |
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Brief Bio
Patrick Pirim was graduated at ENSEA (National School of Electronic and its Application) in 1977. After 2 years as a computer designer for a French SME, and 7 years as technical manager at MATRA he founded his first company in 1986: IMAPPLY. The design of the first electronic circuit ASIC based on spatio-temporal neuron computation, resulted in a patent registration in 1987, which set up the video security market. Many perceptive components were added during the following years with 15 patents granted. In 2006, BVS (Brain Vision Systems) was founded, with the perceptive of a generic processor development; with the design of the first chip BIPS (Bio Inspired Perception System) in 2009.
Today the focus is in the creation of a generic perceptive model which can be applied as well as vision, hearing and touch; it will allow the future development of a cognitive processor.
Patrick Pirim was graduated at ENSEA (National School of Electronic and its Application) in 1977. After 2 years as a computer designer for a French SME, and 7 years as technical manager at MATRA he founded his first company in 1986: IMAPPLY. The design of the first electronic circuit ASIC based on spatio-temporal neuron computation, resulted in a patent registration in 1987, which set up the video security market. Many perceptive components were added during the following years with 15 patents granted. In 2006, BVS (Brain Vision Systems) was founded, with the perceptive of a generic processor development; with the design of the first chip BIPS (Bio Inspired Perception System) in 2009.
Today the focus is in the creation of a generic perceptive model which can be applied as well as vision, hearing and touch; it will allow the future development of a cognitive processor.
