Research engineer and project manager in Computer Vision;developed in the Intelligent Vehicles - Automotive Safety field.- Unique experience in perception systems for Autonomous Driving (direct participation to 4 different projects).- Experience with several Computer Vision techniques and challenges: stereo, pattern analysis, scene reconstruction, machine and on-line learning, tracking- Developed algorithms for perception of obstacles, lanes, vehicles, traffic signs; traffic scene reconstruction; stereo image stabilization; sensor calibration- New concept proposal for ADAS and Intelligent Vehicles applications- Managing of research projects with academic partners- 8 years experience in industry (4 as partner, 4 as employee) and multi-cultural team/environment (Europe, US, Japan).- 10+ years programming experience (efficient algorithm implementation, complex software)Meticulous and innovative 24 hours a day. Active in the academic field, highly cited publications (see http://scholar.google.nl/citations?user=KPB2IC0AAAAJ ). Enthusiastic about learning, sharing ideas in discussions, leading young students and engineers.Having been involved in industrial projects with defined output target, I have often combined different point of approach to the problem (pixel level, scene structure, temporal evolution) to obtain, step by step, the best possible gain in result quality. This allowed me to gain experience in several Computer Vision domains, namely flexible low level feature extraction, stereo matching and aggregation, calibration, target tracking, machine learning, on-line learning, all integrated and seen from an optic of real-time implementation on standard machines.I am real added value to a team: not only I can understand the needs related to my task and provide exactly the output expected, but also, thanks to my attention to detail, I proved in several occasion my capability to spot/foresee project problems and propose solution to solve/prevent them.