Resume
Academic Achievements
- Published multiple papers on motion capture and motion synthesis, such as 'From bias to balance: Leverage representation learning for bias-free MoCap solving' and 'BundleMoCap++: Efficient, robust and smooth motion capture from sparse multiview videos'.
Research Experience
- CTO at Moverse, responsible for the company's technology research and development, integrating volumetric capture, AI, and human body simulation technology.
Education
- PhD in Computer Vision from Universidad Politécnica de Madrid; BSc & MSc in EECS from Aristotle University of Thessaloniki.
Background
- Engineer and scientist working at the intersection of computer vision, machine learning, and computer graphics. Currently the CTO of Moverse, where he leads the company’s technology research & development, unifying volumetric capture, AI, and human body simulation technology.
Miscellany
- Participated in various events and talks, including Laval Virtual Tech Talk, Game Developers Conference 2025, and SIGGRAPH24 Exhibition.