Roman Golovanov
About Roman Golovanov
Roman Golovanov serves as the Principal Computer Vision Engineer at Varjo, where he focuses on developing advanced VR/XR technologies. With extensive experience in computer vision and a strong academic background, he leads projects that enhance human performance through innovative solutions.
Work at Varjo
Roman Golovanov has been employed at Varjo since 2019, initially serving as a Senior Computer Vision Engineer before advancing to the role of Principal Computer Vision Engineer in 2022. In his current position, he is based in Helsinki, Uusimaa, Finland, where he leads the development of XR-4 production features, including controller tracking and marker tracking. He is responsible for managing cross-team coordination and collaboration with external partners in the development of VR/XR technologies. His work focuses on creating innovative VR/XR products that enhance human performance and potential.
Education and Expertise
Roman Golovanov holds a Doctor of Philosophy (Ph.D.) degree in Physics and Mathematics from the National Research University of Electronic Technology (MIET), which he completed from 2011 to 2014. He also earned a Master of Computer and Information Technology from the same institution between 2005 and 2011. His expertise encompasses SLAM, 3D object tracking, depth estimation, and semantic segmentation algorithms, which are critical in the field of computer vision.
Background
Prior to his tenure at Varjo, Roman Golovanov worked at CQG, Inc. from 2009 to 2018, where he held various positions including Software Engineer Intern, Regular Software Engineer, and Senior Expert-Developer. His early career also included a role as an Associate Professor at the National Research University of Electronic Technology (MIET) from 2015 to 2019. This diverse background has contributed to his extensive knowledge and skills in software development and computer vision.
Achievements
At Varjo, Roman Golovanov is responsible for innovations and patents in the field of computer vision and machine learning. His contributions to the development of cutting-edge VR/XR products have positioned him as a key figure in enhancing human performance and potential through technology. His leadership in the development of XR-4 production features demonstrates his commitment to advancing the capabilities of virtual and augmented reality.