Shin Sung-chul
Shin Sung-chul (; born July 19, 1952) is a South Korean physicist and the 16th president of KAIST. Shin was the first president of DGIST since it changed its form from a research institute to a university in 2011. His main research areas as a scientist are spintronics and nanomagnetism. As of June 2014, Shin is the founding president of DGIST university, Fellow Professor of University of Ulsan, a member of Presidential Advisory Council on Science & Technology (PACST), the chair of Committee for Future Strategy, PACST, and a Fellow of the American Physical Society (APS). Provided by Wikipedia
Showing 1 - 20 results of 37 for search 'Sung-Chul Shin', query time: 0.06s
Refine Results
-
1
A Novel Deep Learning Model to Predict Ultimate Strength of Ship Plates under Compression by So-jeong Cho, Im-jun Ban, Sung-chul Shin
Published 2022-02-01
Article -
2
An optimal design of wind turbine and ship structure based on neuro-response surface method by Jae-Chul Lee, Sung-Chul Shin, Soo-Young Kim
Published 2015-07-01
Article -
3
Image Preprocessing Method in Radiographic Inspection for Automatic Detection of Ship Welding Defects by Gwang-ho Yun, Sang-jin Oh, Sung-chul Shin
Published 2021-12-01
Article -
4
Prediction of Dynamic Responses of Flow-Induced Vibration Using Deep Learning by Gi-yong Kim, Chaeog Lim, Eun Soo Kim, Sung-chul Shin
Published 2021-08-01
Article -
5
Automatic Detection of Welding Defects Using Faster R-CNN by Sang-jin Oh, Min-jae Jung, Chaeog Lim, Sung-chul Shin
Published 2020-12-01
Article -
6
Sources of the Measurement Error of the Impact Pressure in Sloshing Experiments by Dong Hwi Kim, Eun Soo Kim, Sung-chul Shin, Sun Hong Kwon
Published 2019-07-01
Article -
7
-
8
Research of design challenges and new technologies for floating LNG by Dong-Hyun Lee, Mun-Keun Ha, Soo-Young Kim, Sung-Chul Shin
Published 2014-06-01
Article -
9
Extracting Weld Bead Shapes from Radiographic Testing Images with U-Net by Gang-soo Jin, Sang-jin Oh, Yeon-seung Lee, Sung-chul Shin
Published 2021-12-01
Article -
10
Multi-Objective Optimization of Drilling Trajectory Considering Buckling Risk by Jiho Jeong, Chaeog Lim, Byeong-Cheol Park, Jeonghoon Bae, Sung-chul Shin
Published 2022-02-01
Article -
11
PAUT-based defect detection method for submarine pressure hulls by Min-jae Jung, Byeong-cheol Park, Jeong-hoon Bae, Sung-chul Shin
Published 2018-03-01
Article -
12
-
13
Damage scenarios and an onboard support system for damaged ships by Jin Choi, Dongkon Lee, Hee Jin Kang, Soo-Young Kim, Sung-Chul Shin
Published 2014-06-01
Article -
14
-
15
Predictive Model for Hydrostatic Curves of Chine-Type Small Ships Based on Deep Learning by Dongkeun Lee, Chaeog Lim, Sang-jin Oh, Minjoon Kim, Jun Soo Park, Sung-chul Shin
Published 2024-01-01
Article -
16
-
17
-
18
Ship Motion-Based Prediction of Damage Locations Using Bidirectional Long Short-Term Memory by Hye-young Son, Gi-yong Kim, Hee-jin Kang, Jin Choi, Dong-kon Lee, Sung-chul Shin
Published 2022-10-01
Article -
19
A Study on the Optimization of the Coil Defect Detection Model Based on Deep Learning by Chun-Myoung Noh, Jun-Gyo Jang, Sung-Soo Kim, Soon-Sup Lee, Sung-Chul Shin, Jae-Chul Lee
Published 2023-04-01
Article -
20