Mikael Pendu
About Mikael Pendu
Mikael Pendu is a Postdoctoral Researcher currently at Inria in Rennes, France, specializing in deep learning solutions for inverse problems in image processing. He has a background in HDR image and video compression, with previous roles at Technicolor, Trinity College Dublin, and Inria.
Work at Inria
Mikael Pendu currently serves as a Postdoctoral Researcher at Inria, a role he has held since 2020. His research at Inria focuses on developing deep learning solutions for inverse problems in image processing. He has been involved in various research projects during his tenure, contributing to advancements in the field. Prior to his current position, he worked at Inria as a Chercheur postdoctoral from 2016 to 2017, where he further developed his expertise in image processing.
Experience at Technicolor
Mikael Pendu worked at Technicolor from 2013 to 2016 as part of a CIFRE thesis program, focusing on HDR image and video compression. This three-year experience allowed him to gain significant knowledge and skills in the field of image processing, particularly in high dynamic range technologies. His work at Technicolor laid a foundation for his future research endeavors in deep learning and image processing.
Postdoctoral Fellowship at Trinity College Dublin
From 2017 to 2020, Mikael Pendu held the position of Postdoctoral Fellow at Trinity College Dublin. During this three-year period, he continued to expand his research capabilities and contributed to various projects in the field of image processing. His time in Dublin provided him with valuable international experience and collaboration opportunities.
Education and Expertise
Mikael Pendu studied at IMT Atlantique, where he earned a degree in Genie informatique pour l'aide à la décision. He completed his studies from 2008 to 2012, achieving the title of Ingénieur généraliste - Diplôme Mines Nantes. This educational background provided him with a strong foundation in computer science and decision-making processes, which he applies in his research on deep learning and image processing.