Nicolas Sezille
About Nicolas Sezille
Nicolas Sezille is a Senior Research Scientist with extensive experience in electronic engineering and computer vision. He holds a Master's degree and a PhD from Dublin City University and has worked in various research and development roles since 2006.
Work at Daon
Nicolas Sezille has been employed at Daon since 2010, where he holds two positions: Senior Research Scientist and Biometric Algorithm Developer. In his role as Senior Research Scientist, he focuses on advancing research initiatives within the company. As a Biometric Algorithm Developer, he contributes to the development and optimization of biometric algorithms, enhancing the company's biometric solutions. His tenure at Daon spans over 14 years, reflecting his commitment to the organization and its goals.
Education and Expertise
Nicolas Sezille has an extensive educational background in engineering and technology. He earned a Master's degree in Electrical Systems from Institut national des Sciences appliquées de Lyon, completing his studies from 1996 to 2001. He furthered his education at Dublin City University, where he obtained a Master's degree in Electronic Engineering in 2001, followed by a PhD in Engineering with a focus on Computer/Machine Vision, which he completed in 2006. This academic foundation supports his expertise in research and development within the biometric field.
Previous Work Experience
Before joining Daon, Nicolas Sezille gained valuable experience in research and development roles at notable companies. He worked as an R&D Engineer at Agilent Technologies from 2006 to 2008, where he contributed to various engineering projects. Following this, he served as an R&D Engineer at Haptica Ltd from 2008 to 2010. These positions provided him with practical skills and knowledge that he applies in his current roles at Daon.
Research and Development Focus
Nicolas Sezille's work primarily revolves around research and development in the field of biometric technology. His role as a Senior Research Scientist involves exploring innovative approaches to biometric algorithms and systems. His academic background in Computer/Machine Vision and extensive experience in engineering positions him well to contribute to advancements in biometric solutions, ensuring they meet industry standards and user needs.