fund
(From left: Dean of the Dept. Physics Eunseong Kim, Emeritus Professor JaeKwan Kim, KAIST President Sung-Chul Shin and Professor Soon Chil Lee)
Emeritus Professor JaeKwan Kim from the Department of Physics made a one hundred million won contribution to KAIST.
He joined KAIST in 1972 and for the next 25 years he dedicated himself to carrying out research and fostering students.
Professor Kim said, “It was a great pleasure and honor to dedicate myself to the development of KAIST as well as Korea. Although I only contributed a small amount of money, I hope that it will help to sustain the development of KAIST. I will continue to support the school behind the scenes.”
He also mentioned that it is meaningful to deliver this fund to KAIST President Sung-Chul Shin, who is the first alumnus president and also his former student.
President Shin said, “His warm heart towards his students will be a priceless gift for the development of KAIST. Not only the Department of Physics, but the entire school will need to work together to help us become a global value-creative leading university and contribute to the country and its people.”
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research KAIST Reads “Stress” from Smartphone Chatting, Searching, and Payment Habits
Clues to stress can be hidden in everyday habits such as chatting, searching, and making payments on a smartphone. KAIST researchers have developed a technology that analyzes several routine behaviors repeatedly performed within apps to identify a person’s daily stress state. KAIST (President Choongsik Bae) announced on October 15 that a research team led by Professor Uichin Lee from the Department of AI Computing developed “SHIRBT-MMF,” a technology that automatically ident
2026-10-15 -
research KAIST Develops Transistor-Based Encryption That Controls When Information Can Be Read
Some information, such as exam questions or bid prices, must remain unreadable until an agreed time, even if it has already been delivered. KAIST researchers have used changes in the electric current inside a semiconductor to develop encryption in which information is revealed only after a set amount of time has passed, or can be read correctly only at a specific time. In addition to the key needed to restore the original information, the technology adds a second condition: when the informatio
2026-10-14 -
research KAIST Controls Where 2D Semiconductor Crystals Begin to Grow, Addressing a Key Challenge in Stacking AI Chips
Two-dimensional (2D) semiconductors, only a few atomic layers thick, are a promising material for making AI chips faster and more energy efficient by stacking additional semiconductor layers on top of existing computing circuits. However, when crystals form at multiple random locations during growth, it is difficult to produce high-quality semiconductors at the desired positions. A KAIST joint research team has developed a technology that sets in advance where a crystal begins to grow and allo
2026-10-13 -
research KAIST Develops a Beetle-Inspired Soft Robot That Operates with Artificial Muscles and Sensory Feedback
Researchers have developed a technology that lets a user move a small robot by bending and straightening a finger. The user can also pick up and move objects while checking the images and contact information that the robot sends back. The system combines artificial muscles, a camera, and tactile sensors in a small soft robot modeled on a beetle. It is expected to be used in remote tasks, such as inspecting narrow spaces that are difficult for people to reach and retrieving small objects. KAIS
2026-10-13 -
event KAIST to Chart a Platform-FirstCourse for “Physical AI” Beyond Humanoids
KAIST hosted “Physical AI KOREA 2026” at its Daejeon campus on October 13. At the event, KAIST presented physical AI platform technologies that can be applied not only to manufacturing but also to healthcare, defense, logistics, and everyday life, as well as strategies for research, education, and entrepreneurship that can be utilized by a wide range of companies. Humanoid robots are beginning to surpass human records in robotic competitions modeled after Olympic events such as tr
2026-10-12