Professor
PROFILE
Chief Major Professor
Radiation Life Science
Lim, Sang-Yong (임상용)
Current Position
Research Interest
Radiation response of living organisms, Radiation-resistant bacteria
Education
1995 B.S. Dept. of Food Science and Biotechnology, Seoul National University
1997 M.S. Dept. of Food Science and Biotechnology, Seoul National University
2002 Ph.D. Dept. of Food Science and Biotechnology, Seoul National University
Work Experience
2010 ~ 2012 Director, Research Professor, Mobile Harbor Center, KAIST
2005 ~ 2005 Visiting Researcher, AIST, Japan
Project
(On-going)
Research on M&S technology for repairing radiation damage and enhancing resistance in industrial and biomaterials, ‘25, 0.9M USD, (PI)
Publication
Google Scholar : https://scholar.google.com/citations?user=ewU41ZUAAAAJ&hl=ko&oi=ao
(International Journal)
Y Joo, H Choi, G-E Jeong, Y Yu*, Dynamic graph-based convergence acceleration for topology optimization in unstructured meshes, Engineering Application of Artificial Intelligence, 2024 (IF: 8)
S Ryu, Y Yu, H Seo, Can Untrained Neural Network Detect Anomalies?, IEEE Transactions on Industrial Informatics, 2023 (IF:12.3)
G Lee, Y Joo, Y Yu, HG Kim, Dual-fluid topology optimization of printed-circuit heat exchanger with low-pumping-power design, Case Studies in Thermal Engineering 49, 2023
S Ryu, Y Yu*, Quantile-Mixer: A Novel Deep Learning Approach for Probabilistic Short-term Load Forecasting, IEEE Transactions on Smart Grid, 2023
S Ryu, B Jeon, H Seo, M Lee, JW Shin, Y Yu*, Development of deep autoencoder-based anomaly detection system for HANARO, Nuclear Engineering and Technology 55 (2), 2023
S Ryu, J Yim, J Seo, Y Yu, H Seo, Quantile autoencoder with abnormality accumulation for anomaly detection of multivariate sensor data, IEEE Access 10, 2022
S Moon, K Kim, GG Lee, Y Yu, DJ Kim, Pipeline wall thinning rate prediction model based on machine learning, Nuclear Engineering and Technology, 2021
B Jeon, J Kim, Y Yu, M Moon, Comparison of machine learning-based radioisotope identifiers for plastic scintillation detector, Journal of Radiation Protection and Research, 2021
Y Joo, Y Yu, IG Jang, Unit module-based convergence acceleration for topology optimization using the spatiotemporal deep neural network, IEEE Access, 2021
Y Yu, T Hur, J Jung, IG Jang, Deep learning for determining a near-optimal topological design without any iteration, Structural and Multidisciplinary Optimization, 2018
EH Kim, YS Jung, Y Yu, S Kwon, H Ju, S Kim, BM Kwak, IG Jang, KS Kim, An advanced cargo handling system operating at sea, International Journal of Control, Automation and Systems, 2014
Y Yu, IG Jang, BM Kwak, Topology optimization for a frequency response and its application to a violin bridge, Structural and Multidisciplinary Optimization, 2013
Y Yu, BM Kwak, Design sensitivity analysis of acoustical damping and its application to design of musical bells, Structural and Multidisciplinary Optimization, 2011
Y Yu, IG Jang, IK Kim, BM Kwak, Nodal line optimization and its application to violin top plate design, Journal of sound and vibration, 2010
Professional Activities
2018 ~ present Member of the Board of Directors, Korean Society of Radiation Industry (KSRI)
2018 ~ present Member of the Editorial Board, Journal of Microbiology and Biotechnology (JMB)
2021 ~ present Member of the Editorial Board, Microorganisms
Teaching Experiences
Food Microbiology, Medical Microbiology (Hannam Univ., 2005-2007)
Food Microbiology, Applied Microbiology (Chungnam Nat’l Univ., 2011-2014)
Radiation Biology, Radiation Biochemistry (UST, 2020-present)
Honors and Awards