Vahe Taamazyan

Vahe Taamazyan

Senior Imaging Scientist @ Intrinsic

About Vahe Taamazyan

Vahe Taamazyan is a Senior Imaging Scientist currently working at Intrinsic in Munich, Bavaria, Germany. He has extensive experience in imaging technology, having previously held roles at Sizolution and Akasha Imaging, and has a strong academic background with degrees from prestigious institutions including MIT and MIPT.

Current Role at Intrinsic

Vahe Taamazyan serves as a Senior Imaging Scientist at Intrinsic since 2023. He is based in Munich, Bavaria, Germany, and works on-site. In this role, he focuses on advancing imaging technologies and methodologies, contributing to the company's research and development efforts in the field of imaging science.

Previous Experience at Sizolution

Prior to his current position, Vahe Taamazyan worked as the Managing Director at Sizolution from 2015 to 2023. During his eight years in this role, he was based in the Berlin Area, Germany. His responsibilities included overseeing operations and leading strategic initiatives within the company.

Advisory Role at Akasha Imaging

From 2019 to 2023, Vahe Taamazyan served as a Tech Advisor at Akasha Imaging. In this capacity, he provided technical guidance and expertise, contributing to the development of imaging solutions and strategies that align with the company's objectives.

Educational Background

Vahe Taamazyan has an extensive educational background in science and technology. He earned a Master of Science (M.Sc.) in Computer Science from Skolkovo Institute of Science and Technology, where he studied from 2012 to 2015. He also completed a Master's degree in Energy Science at the Moscow Institute of Physics and Technology (MIPT) during the same period. Additionally, he was a Visiting Researcher at the Massachusetts Institute of Technology (MIT) Media Lab from 2014 to 2015.

Research and Publications

Vahe Taamazyan has authored a thesis titled 'Polarized 3D: Synthesis of Polarization and Depth Cues for Enhanced 3D Sensing,' which received the Best Thesis Award at Skolkovo Institute of Science and Technology. He has published research focused on high-quality depth sensing using polarization cues and transparent object segmentation, contributing to advancements in imaging science.

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