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Doctor Gyu-Tae Kim from General Electric (GE) received the eleventh Cho Jeong-Hoon Academic Award. The award ceremony took place in the main conference room of the administration building on campus on May 13, 2015.
Dr. Kim, a graduate of KAIST, conducts research in the field of instable swirl combustion of gas turbines and has contributed to the development of aircraft engines. He earned his name as a researcher by identifying, for the first time in the world, the correlation between the thermoacoustic instability of gas turbine engines and the complex response of swirl flames.
Along with Dr. Kim, Shin-Jae Kang of the Aerospace Engineering Department, KAIST, Yong-Gyun Bae of the Mechanical Engineering Department, Korea University, and Ji-Won Kim from Kongju National University High School, received the Cho Jeong-Hoon scholarship.
The award was created in commemoration of Cho Jeong-Hoon who was killed in an explosion during his research at the KAIST Rocket Laboratory on May 13, 2003. Cho’s parents donated USD 450,000 to KAIST in his memory. Since 2005, a total of four students from KAIST, Korea University, and Kongju National University High School, all of which the late Honorary Doctor Cho attended, have received the scholarship.
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research KAIST Proposes AI Training Method that will Drastically Shorten Time for Complex Quantum Mechanical Calculations
- Professor Yong-Hoon Kim's team from the School of Electrical Engineering succeeded for the first time in accelerating quantum mechanical electronic structure calculations using a convolutional neural network (CNN) model - Presenting an AI learning principle of quantum mechanical 3D chemical bonding information, the work is expected to accelerate the computer-assisted designing of next-generation materials and devices The close relationship between AI and high-performance scientific computi
2024-10-30 -
event Team KAIST Crowned Champion for their World’s Best Ironman, Winning their 2nd Consecutive Win at the Cyborg Olympics
< Group photo of our research team participating in the 3rd Cybathlon > The Cybathlon is an international competition, which aims to help overcome disabilities through the use of robotics technology. KAIST researchers came in third, winning the bronze medal, at their 1st participation in 2016, won their first gold medal at the 2nd competition in 2020, and took back the gold medal at this year’s 3rd competition, successfully defending their champion title. KAIST (President Kwa
2024-10-28 -
event KAIST Professor Uichin Lee Receives Distinguished Paper Award from ACM
< Photo. Professor Uichin Lee (left) receiving the award > KAIST (President Kwang Hyung Lee) announced on the 25th of October that Professor Uichin Lee’s research team from the School of Computing received the Distinguished Paper Award at the International Joint Conference on Pervasive and Ubiquitous Computing and International Symposium on Wearable Computing (Ubicomp / ISWC) hosted by the Association for Computing Machinery (ACM) in Melbourne, Australia on October 8. The ACM
2024-10-25 -
event KAIST Introduces a Wearable Robot that Walks and Puts itself on to Disabled Persons
< Photo 1. WalkON Suit F1 - walking demonstration > KAIST researchers have unveiled a new wearable robot developed for completely paralyzed persons that can walk to them so that the user can wear it right out of their wheelchairs without the help from others. Also, it was announced that Professor Kyoungchul Kong's team from KAIST will be participating in the wearable robot category of the 3rd Cybathlon, which is being held four years after the team’s gold medal win in 2020. K
2024-10-24 -
research KAIST Proposes a New Way to Circumvent a Long-time Frustration in Neural Computing
The human brain begins learning through spontaneous random activities even before it receives sensory information from the external world. The technology developed by the KAIST research team enables much faster and more accurate learning when exposed to actual data by pre-learning random information in a brain-mimicking artificial neural network, and is expected to be a breakthrough in the development of brain-based artificial intelligence and neuromorphic computing technology in the future.
2024-10-23