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< Professor Jiyun Lee >
Professor Jiyun Lee from the Department of Aerospace Engineering became the first professor of Korean university to be selected as a council member of the Institute of Navigation (ION), serving specifically as a technical representative.
ION is a world-leading organization established in 1945 and dedicated to advancing Positioning, Navigation and Timing (PNT) technologies. ION’s international membership is drawn not only from professionals in the fields of navigation, engineering, astronomy, education, and general aviation and the airline industry, but also from various supporting institutions, corporations, and government agencies.
Professor Lee has been actively engaged in the Institute’s academic and community activities as a technical advisor for the Satellite Division in the Asia-Pacific region, a chair of the International Technical Meeting, as well as a section chair of the Global Navigation Satellite System (GNSS+) Conference. She has also published 34 papers in numerous ION journals and conference proceedings over the past 10 years while serving as an associate editor of the ION Navigation Journal.
From these activities, Professor Lee was recognized for her academic achievements and committed leadership, which led her to be appointed as the first professor from a Korean university to participate on the Council. She will serve her term over the next two years, and conduct day-to-day operations for the Institute mainly related to developing new programs and strategies for the advancement of PNT technologies and discovering new distinguished members.
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research A Way for Smartwatches to Detect Depression Risks Devised by KAIST and U of Michigan Researchers
- A international joint research team of KAIST and the University of Michigan developed a digital biomarker for predicting symptoms of depression based on data collected by smartwatches - It has the potential to be used as a medical technology to replace the economically burdensome fMRI measurement test - It is expected to expand the scope of digital health data analysis The CORONA virus pandemic also brought about a pandemic of mental illness. Approximately one billion people worldwide suf
2025-01-20 -
research KAIST Develops Neuromorphic Semiconductor Chip that Learns and Corrects Itself
< Photo. The research team of the School of Electrical Engineering posed by the newly deveoped processor. (From center to the right) Professor Young-Gyu Yoon, Integrated Master's and Doctoral Program Students Seungjae Han and Hakcheon Jeong and Professor Shinhyun Choi > - Professor Shinhyun Choi and Professor Young-Gyu Yoon’s Joint Research Team from the School of Electrical Engineering developed a computing chip that can learn, correct errors, and process AI tasks - Equipping
2025-01-17 -
event KAIST Alumni Association to Honor Alumni of the Year Award Winners
Photo 1. Photo of the KAIST Alumni of the Year Award Recipients (From left) UST President Lee-whan Kim, CEO Han Chung of iThree Systems Co., Ltd., CEO Dong Myung Kim of LG Energy Solution Co., Ltd., and Professor Hyun Myung of the School of Electrical Engineering at KAIST KAIST (President Kwang Hyung Lee) announced on Monday, the 13th of January that the Alumni Association (President Yun-Tae Lee) has selected its Alumni of the Year. This year’s honorees are: ▴ President Lee-whan K
2025-01-15 -
research KAIST Research Team Develops Stretchable Microelectrodes Array for Organoid Signal Monitoring
< Photo 1. (From top left) Professor Hyunjoo J. Lee, Dr. Mi-Young Son, Dr. Mi-Ok Lee(In the front row from left) Doctoral student Kiup Kim, Doctoral student Youngsun Lee > On January 14th, the KAIST research team led by Professor Hyunjoo J. Lee from the School of Electrical Engineering in collaboration with Dr. Mi-Young Son and Dr. Mi-Ok Lee at Korea Research Institute of Bioscience and Biotechnology (KRIBB) announced the development of a highly stretchable microelectrode array (sMEA)
2025-01-14 -
research KAIST Develops CamBio - a New Biotemplating Method
- Professor Jae-Byum Chang and Professor Yeon Sik Jung’s joint research team of the Department of Materials Science and Engineering developed a highly tunable bio-templating method “CamBio” that makes use of intracellular protein structures - Substrate performance improvement of up to 230% demonstrated via surface-enhanced Raman spectroscopy (SERS) - Expected to have price competitiveness over bio-templating method as it expands the range of biological samples - Expected to
2025-01-10