- AI-Driven Hydrogen Technology Innovation Center (hydro*studio)
- AI-Space Solar Initiative
- InnoCORE Research Center for Semiconductor PAckaging Co-Physics DEsign Framework(SPACE-F)
- Bio-MAX Innocore Research Center
- Intelligent Defense Systems Research Group
- Safe AI Research Center
- Center for AI-Based Precision Control of Hematologic Malignancies
- AI-Convergent Consciousness Research Cente
- Mechanics-grounded Physical AI Initiative (M-PAI Initiative)
- Space Exploration Basic Research Center
- MarinE Pollution CarbOn Upcycling Circular Chemistry Center
Bio-MAX Innocore Research Center
KEYWORDKeyword
OBJECTIVE 연구 목표
Establish a world-class integrated Design–Build–Test–Learn (DBTL) platform
seamlessly connecting AI-driven biocatalyst design, autonomous robotic synthesis,
and industrial process validation. Quantitative targets include:
(1) end-to-end biocatalyst design within 4 hours,
(2) a 100-billion-scale ultra-large precision structural database,
(3) a self-driving lab processing 1,000 experiments per round,
(4) ≥90% yield of C1-gas-based bioplastics and Sustainable Aviation Fuel (SAF) meeting ASTM D7566, and
(5) training of 25 elite global postdocs with full-stack AI–robotics–process expertise.
INTRODUCTION 단장소개
Prof. Yong Hwan Kim
Dean of the College of Engineering, UNIST Professor,
Graduate School of Carbon Neutrality.
Director of the ERC Leading Research Center
Director of the C1 Gas Refinery Program.
Fellow of the National Academy of Engineering of Korea.
Research means failing 99 times for every 100 attempts — yet it is the patience
and trust given to self-reliant convergence talents that yield true innovation.
BIO-M.AX will build the world's first closed-loop DBTL ecosystem connecting AI design,
autonomous experimentation, and industrial validation, providing the finest research environment
so that Korea can lead the global biomanufacturing frontier.
IMPACT 파급효과
[Scientific & Technological]
A complete paradigm shift from intuition-driven to data-driven autonomous R&D
50+ top-tier journal publications and 50+ core patents
the world's first closed-loop DBTL ecosystem integrating AI, self-driving labs, and industrial validation.
[Economic & Social]
Carbon neutrality through C1 gas valorization
SAF production cost below $1.5/L enabling global market leadership
500 new jobs through postdoc-led deep-tech startups
cultivation of next-generation independent PIs and senior industrial researchers.
TALENT 인재상
Full-stack convergence researchers who move fluidly across the boundaries of AI, robotics, and bioprocessing;
self-reliant scientists who embrace failure and independently define and solve problems;
ambidextrous (Dry+Wet) talents equipped with global leadership and entrepreneurial spirit, capable of
resolving industrial challenges through data-driven approaches and leading deep-tech ventures as next-generation independent PIs.