Exploring the blend of the physical and the digital, humans and machines, Sang-won researches alternate notions of the reality and the human body. In the space of human-machine interface, he focuses on robotic systems that work together with human users. The realization of his work spans interactive installations, mechatronic devices for visual/musical exploration, and novel digital interfaces. His vision aims to create synergies between machine systems and humans, with technology essentially becoming a natural extension of our hands and empowering us. This way, he challenges the fear and criticism around AI and automation that they replace human endeavors, by showing what beautiful outcomes us and machines can accomplish together.

The impact of his research spans from publications in top tier HCI conferences such as CHI, TEI, and NIME, journals including LEONARDO and IEEE Pervasive Computing, to design awards and art exhibitions. Several of his work were awarded the Fast Company Innovation by Design Award, and have been shown in art exhibitions at SIGGRAPH ASIA, CHI, TEI, and more. Recently, he exhibited at Asia Culture Center along with some of the most prominent new media artists. In 2014, he was an artist-in-residence at Microsoft Research Studio 99, where he created Remnance of Form – an interactive installation with transforming shadows. His work has received extensive media coverage from BBC, WIRED, Discovery, Fast Company and so on.

He currently works at ArtMatr as a creative engineer + designer, collaborating with artists such as Barnaby Furnas using their robotic printing technology. He received his PhD from MIT Media Lab in 2018. Prior to that, he was a software engineer at Samsung Electronics where he led the software development of eyeCan, an open-source DIY eye-mouse designed for people with motor disability. This project became the foundation of Samsung’s C-LAB. The eyeCan project was covered by major newspapers in Korea, also he was invited to give talks in TEDx events, Seoul Digital Forum, and Tech Plus Forum. He received his Bachelor and Master of Science from KAIST, focusing on 3D Computer Vision and Machine Learning.

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