On December 18, the National Academy of Engineering of Korea selected the 100 top future technologies that will be the engine growth for Korea in 2025. It also announced experts that will lead the selected technologies. Out of the 238 experts listed, eight professors are from KAIST.
The academy chose technologies based on their potential to be commercialized and contribution to developing related industries in Korea. Giving more weight to young scientists or engineers, it also selected up to three experts who are playing a crucial role in realizing each technology.
Out of 238 experts, 78 of them are from universities, 76 from major enterprises, 65 from public institutions and 19 from SMEs. KAIST is the instituttion that produced the second most experts, follwoing Seoul National University.
KAIST (President Kwang Hyung Lee) is leading the transition to AI Transformation (AX) by advancing research topics based on the practical technological demands of industries, fostering AI talent, and demonstrating research outcomes in industrial settings. In this context, KAIST announced on the 13th of August that it is at the forefront of strengthening the nation's AI technology competitiveness by developing core AI technologies via national R&D projects for generative AI led by the Minis
2025-08-13<ID-style photograph against a laboratory background featuring an OLED contact lens sample (center), flanked by the principal authors (left: Professor Seunghyup Yoo ; right: Dr. Jee Hoon Sim). Above them (from top to bottom) are: Professor Se Joon Woo, Professor Sei Kwang Hahn, Dr. Su-Bon Kim, and Dr. Hyeonwook Chae> Electroretinography (ERG) is an ophthalmic diagnostic method used to determine whether the retina is functioning normally. It is widely employed for diagnosing hereditary
2025-08-12< (From left) Ph.D candidate Wonho Zhung, Ph.D cadidate Joongwon Lee , Prof. Woo Young Kim , Ph.D candidate Jisu Seo > Traditional drug development methods involve identifying a target protin (e.g., a cancer cell receptor) that causes disease, and then searching through countless molecular candidates (potential drugs) that could bind to that protein and block its function. This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model th
2025-08-12<(From left)Professor Jimin Park, Ph.D candidate Myeongeun Lee, Ph.D cadidate Jaewoong Lee,Professor Jihan Kim> Cells use various signaling molecules to regulate the nervous, immune, and vascular systems. Among these, nitric oxide (NO) and ammonia (NH₃) play important roles, but their chemical instability and gaseous nature make them difficult to generate or control externally. A KAIST research team has developed a platform that generates specific signaling molecules in situ from a si
2025-08-12<Photo1. Group photo at the end of the program> KAIST (President Kwang Hyung Lee) announced on the 11thof August that it successfully hosted the 'APEC Youth STEM Conference KAIST Academic Program,' a global science exchange program for 28 youth researchers from 10 countries and over 30 experts who participated in the '2025 APEC Youth STEM* Collaborative Research and Competition.' The event was held at the main campus in Daejeon on Saturday, August 9. STEM (Science, Technology, Eng
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