Navid Mahmoudian Bidgoli
About Navid Mahmoudian Bidgoli
Navid Mahmoudian Bidgoli is an Innovation Engineer at Inria, where he has worked since 2021. He holds a PhD in Signal, Image and Video Processing and has extensive experience in programming and research in areas such as computer vision and machine learning.
Work at Inria
Navid Mahmoudian Bidgoli has been serving as an Innovation Engineer at Inria since 2021. His role focuses on integrating innovative solutions within the organization, leveraging his extensive background in engineering and technology. Prior to this position, he worked at Inria in various capacities, including as a Research and Development Engineer from 2019 to 2021 and as a PhD Candidate from 2016 to 2019. His tenure at Inria reflects a commitment to advancing research and development in the field of technology.
Education and Expertise
Navid Mahmoudian Bidgoli holds a Doctor of Philosophy (PhD) in Signal, Image and Video Processing from Université de Rennes I, which he completed from 2016 to 2019. He also earned a Master of Science (MS) in Electrical Engineering, specializing in Mechatronics, Robotics, and Artificial Intelligence, from Amirkabir University of Technology - Tehran Polytechnic between 2010 and 2013. His academic journey began with a Bachelor of Science (BS) in Electrical and Electronics Engineering from Shahid Beheshti University, completed from 2006 to 2010.
Background
Navid Mahmoudian Bidgoli has a diverse background that combines both academic and industry experiences. He has worked as a Research Intern at Idiap Research Institute in Switzerland for five months in 2014, where he was affiliated with the Ecole Polytechnique Fédérale de Lausanne (EPFL). His roles have provided him with a comprehensive understanding of engineering principles, particularly in the areas of computer vision, machine learning, and image processing.
Programming Skills and Tools
Navid Mahmoudian Bidgoli possesses professional programming skills in C++, Python, and Matlab. He is well-versed in various tools and libraries, including OpenCV, Pytorch, OpenGL, and OpenCL. His technical proficiency supports his research interests and enhances his contributions to projects focused on computer vision, 3D vision, and machine learning.
Research Interests
Navid Mahmoudian Bidgoli has a strong interest in several advanced fields, including computer vision, 3D vision, machine learning, image and video processing, and computer graphics. These interests guide his work and research, allowing him to explore innovative solutions and applications in technology.