Achievement
International Journals
S. Y. Lee, J. Lee, J. S. Lee, S. Lee, Deep learning-based prediction and interpretability of physical phenomena for metaporous materials, Materials Today Physics 30, 100946 (2023)
S. Choi+, J. Yang+, S. Y. Lee+, J. Kim, J. Lee, W. J. Kim, S. Lee, C. Kim, Deep learning enhances multiparametric dynamic volumetric photoacoustic computed tomography in Vivo (DL-PACT), Advanced Science 10(1), 2202089 (2023) [Featured as Back Cover Article]
I. Jeong, S. Y. Lee, K. Park, I. Kim, H. Huh, S. Lee, Wafer map failure pattern classification using geometric transformationinvariant convolutional neural network, Scientific Reports 13(1), 8127 (2023)
S. Y. Lee, C. -S. Park, K. Park, H. J. Lee, S. Lee, A physics-informed and data-driven deep learning approach for wave propagation and its scattering characteristics, Engineering with Computers, 1 (2022)
Featured in media outlets: [The Korea Herald] [YNA] [AI Times] [Digital Times] [News1] [iNews 24] [etNews] [AME News] [Work Today] [Hellodd] [CBS] [Newsis] [Veritas-a]
S. Y. Lee, J. Chang, S. Lee, Deep learning-enabled high-resolution and fast sound source localization in spherical microphone array system, IEEE Transactions on Instrumentation and Measurement 71, 1 (2022)
S. Y. Lee, J. Chang, S. Lee, Point-level deep learning approach for 3D acoustic source localization, Smart Structures and Systems 29(6), 777 (2022)
B. A. Tama, S. Y. Lee, S. Lee, A systematic mapping study and empirical comparison of data-driven intrusion detection techniques in industrial control networks, Archives of Computational Methods in Engineering 29(7), 5353 (2022)
K. Park, J. Y. Lee, S. Y. Lee, I. Jeong, S. -Y. Park, J. W. Kim, S. A. Nam, H. W. Kim, Y. K. Kim, S. Lee, Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells, Kidney Research and Clinical Practice 42(1), 75 (2022)
H. Kim, K. Park, J. -M. Yon, S. W. Kim, S. Y. Lee, I. Jeong, J. Jang , S. Lee, D. -W. Cho, Predicting multipotency of human adult stem cells derived from various donors through deep learning, Scientific Reports 12(1), 21614 (2022)
S. Y. Lee+, J. Chang+, S. Lee, Deep learning-based method for multiple sound source localization with high resolution and accuracy, Mechanical Systems and Signal Processing 161, 107959 (2021)
S. Y. Lee+, S. Byeon+, H. S. Kim, H. Jin, S. Lee, Deep learning-based phase prediction of high-entropy alloys: Optimization, generation, and explanation, Materials & Design 197, 109260 (2021)
Featured in media outlets: [The Korea Herald] [Donga Science] [Newsis] [New Daily] [MK] [etNews]
A. Glaeser, V. Selvaraj, S. Y. Lee, Y. Hwang, K. Lee, N. Lee, S. Lee, S. Min, Applications of deep learning for fault detection in industrial cold forging, International Journal of Production Research 59(16), 4826 (2021)
G. Kim, S. Y. Lee, J. -S. Oh, S. Lee, Deep learning-based estimation of the unknown road profile and state variables for the vehicle suspension system, IEEE Access 9, 13878 (2021)
S. Y. Lee, B. A. Tama, C. Choi, J. Y. Hwang, J. Bang, S. Lee, Spatial and sequential deep learning approach for predicting temperature distribution in a steel-making continuous casting process, IEEE Access 8, 21953 (2020)
K. H. Sun, H. Huh, B. A. Tama, S. Y. Lee, J. H. Jung, S. Lee, Vision-based fault diagnostics using explainable deep learning with class activation maps, IEEE Access 8, 129169 (2020)
S. Y. Lee, B. A. Tama, S. J. Moon, S. Lee, Steel surface defect diagnostics using deep convolutional neural network and class activation map, Applied Sciences 9(24), 5449 (2019)
International Conference Proceedings
S. Choi, J. Yang, S. Y. Lee, J. Kim, B. Park, S. Lee, C. Kim, Improvement of spatiotemporal resolution based on deep learning in 3D photoacoustic tomography, Opto-Acoustic Methods and Applications in Biophotonics VI, 2023
S. Y. Lee, J. Chang, S. Lee, Non-contact boundary condition quantification using data-driven beamforming approach, 24th International Congress on Acoustics (ICA), 2022
S. Y. Lee, J. Chang, S. Lee, Point-level deep learning approach for 3D sound source localization in spherical microphone array, Asia Pacific Confernce of the Prognostics and Health Management Society (PHMAP), 2021 [youtube]
S. Y. Lee, J. Chang, S. Lee, Deep learning-based single point sound source localization in spherical microphone arrays, INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263(4), 2279-2283, 2021
S. Y. Lee, Y. Hwang, S. Lee, Frequency-driven convolutional neural network for enhancing noise robustness of bearing fault detection, INTER-NOISE and NOISE-CON Congress and Conference Proceedings 261(1), 5635-5645, 2020 [youtube]
S. Y. Lee, J. Chang, S. Lee, Acoustic source localization for single point source using convolutional neural network and weighted frequency loss, INTER-NOISE and NOISE-CON Congress and Conference Proceedings 261(1), 5674-5681, 2020 [youtube]
B. A. Tama, S. Y. Lee, S. Lee, An overview of deep learning techniques for fault detection using vibration signal, INTER-NOISE and NOISE-CON Congress and Conference Proceedings 261(1), 5701-5706, 2020
H. Huh, S. Y. Lee, K. H. Sun, J. H. Jung, S. Lee, New way of detecting vibration of mechanical systems by explainable deep learning, INTER-NOISE and NOISE-CON Congress and Conference Proceedings 261(1), 5646-5650, 2020
A. Glaeser, V. Selvaraj, K. Lee, N. Lee, Y. Hwang, S. Y. Lee, S. Lee, S. Min, Remote machine mode detection in cold forging using vibration signal, 48th SME North American Manufacturing Research Conference (NAMRC) 48, 908-914, 2020
Patents
J. Chang, S. Y. Lee, S. Lee, "Method and System for High Resolution Sound Source Maps based on Artificial Neural Network", 10-2020-0114089 [Technology Transfer Completed]
J. Chang, S. Y. Lee, S. Lee, "High-resolution Sound Source Map Obtaining and Analyzing Method and System using Artificial Intelligence Neural Network", PCT/KR2021/006616, US20230160993A1 [Technology Transfer Completed]
J. Chang, W. Cho, S. Lee, S. Y. Lee, "Neural Network Learning Unit and Improved System and Method for Providing Sound Source Maps Including the Same", PN220019
J. Chang, J. Ko, W. Cho, T. Kim, D. Noh, S. Lee, J. Park, S. Lee, S. Y. Lee, "The Method and System for Sound Classification and Location Tracking using Artificial Intelligence Neural Network", 10-2021-0124759
Invited Talks
S. Y. Lee, "Physics-guided Machine Learning Approaches for Accelerated Design and Enhanced Informatics", Gwangju Institute of Science and Technology (GIST), 10/13/2023
S. Y. Lee, "Strategies for Deep Learning-driven Studies in Engineering Fields", Korea Research Institute of Chemical Technology (KRICT), 02/23/2023
S. Y. Lee, "AI-based Sound Source Localization Technology for Industrial Application", LG AI Research, 12/30/2021
S. Y. Lee, "AI-aided Acoustics, Ultrasound and Vibration", Smart Diagnosis and Design Optimization (SDDO) Lab, Gwangju Institute of Science and Technology (GIST), 11/05/2021
S. Y. Lee, "AI-enabled Sound Visualization", Korea Institute of Science and Technology (KIST), 09/13/2021
Teaching Tutorials
S. Y. Lee, "Advanced Tutorials for Machine Learning and Deep Learning", Samsung Heavy Industries, 05/02/2023 ~ 06/22/2023
S. Y. Lee, "Hands-on Tutorials for Deep Learning and its Industrial Applications", Samsung Heavy Industries, 04/08/2021 ~ 05/03/2021
S. Y. Lee, "One-week AI Tutorials", IT Convergence Department, University of Ulsan, 08/10/2020 ~ 08/14/2020
S. Y. Lee, "Introduction to Machine Learning and Deep Learning", Department of Mechanical Engineering, Dong-A University, 01/06/2020 ~ 01/10/2020
S. Y. Lee, "Intensive Program for Machine Learning Champion", SK hynix, 04/24/2019 ~ 04/30/2019