Philippe Hanhart

Principal AI Research Scientist And Software Engineer at Cognex

Philippe Hanhart has a diverse work experience in the field of AI research and software engineering. Philippe has worked as a Principal AI Research Scientist and Software Engineer at Cognex Corporation, where they designed and implemented deep learning algorithms for smart cameras. Philippe also contributed to the development of the ViDi Deep Learning Suite and supported the integration of SuaKIT tools after an acquisition.

Prior to that, Hanhart worked at InterDigital, Inc. as a Senior Staff Engineer, Staff Engineer, and Senior Engineer. Philippe contributed to the development of the H. 266/VVC video coding standard and led the company's work on 360-degree video coding. Philippe also had active involvement in designing innovative algorithms and concepts for future video coding standards.

During their time at EDSI-Tech Sàrl, Hanhart worked as a Consultant and Web Developer. Philippe was responsible for providing consulting services and developing web applications.

Hanhart also has experience in academia, having worked as a Postdoctoral Researcher and Doctoral Assistant at EPFL. Philippe conducted research on image and video processing and also taught courses on the subject. Philippe also served as an IT Manager at EPFL.

Additionally, Hanhart gained industry experience as a Video Processing Intern at Dolby Laboratories and as a Research Assistant at the Image Technology Group within Dolby Laboratories. Philippe also worked as a Teaching Assistant at EPFL.

Overall, Hanhart's work experience highlights their expertise in AI research, software engineering, video coding, and image and video processing.

Philippe Hanhart received their education from several institutions. Philippe started by completing a Federal Certificate of Proficiency and Professional Baccalaureate in Electronics from Ecole des Métiers de Lausanne (ETML) in 2005. Following that, they pursued a Special Mathematics Course at EPFL (École polytechnique fédérale de Lausanne) in 2006. Philippe then obtained a Bachelor of Science in Electrical and Electronics Engineering from EPFL in 2009. Philippe further pursued their studies at EPFL and completed a Master of Science in Electrical and Electronics Engineering in 2011. Finally, they concluded their education with a Doctor of Philosophy degree in Electrical Engineering from EPFL in 2016.

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Peers

Timeline

  • Principal AI Research Scientist And Software Engineer

    March, 2022 - present

  • Senior Software Engineer

    May, 2019

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