Industrial AI Laboratory
Publication
Journal Publication
Physics-informed neural networks across manufacturing processes: Recent advances, challenges, and directions
In Preparation
Physics-informed deep operator networks for learning plasma drift-diffusion behaviors
CT-DeepONet: Causality-transferred physics-informed deep operator network for multi-layered heat spreading behaviors
Prompt-engineered latent diffusion model for generative designs of desired dynamic properties
Uncertainty-aware and mechanistically-regularized spiking neural networks for on-board motor degradation estimation in steer-by-wire systems
DANA: Diffusion-based aerial noise auralization for realistic synthesis of quadcopter noise
Versatile and system-agnostic signal reconstruction using attention-based temporal convolutional neural networks
GAPI-DeepONet: Geometry-adaptive physics-informed DeepONet for fluid dynamics
Submitted
DiffectNet: Diffusion-enabled conditional target generation for non-destructive ultrasonic defects
UT-Net: Deep learning-based image translation for enhance phased array ultrasonic imaging
Deep learning-enabled accurate and interpretable stress-strain characterization from ultrasonic measurements
AI-driven digital twin for autonomous web tension control in roll-to-roll manufacturing system
Anton Nailevich Gafurov*, Sooyoung Lee*, Uzair Ali, Muhammad Irfan, Inyoung Kim, Taik-Min Lee
Scientific Reports 15 (1), 1-17, 2025
A deep generative approach for neural augmentation of heat sink surface defects
Jeongwoo Lee, Sooyoung Lee
International Journal of Precision Engineering and Manufacturing-Smart Technology 3, 151-159, 2025
Deep learning-accelerated multiple design generation for sound-absorbing metaporous materials
Sooyoung Lee, Jihun Lee, Joong Seok Lee, Seungchul Lee
Engineering Applications of Artificial Intelligence 156, 111172, 2025
Intelligent metallic loose part monitoring in three-dimensional structures using convolutional neural networks and position-invariant loss function
Jungsik Choi, Jeongmin Oh, Taeyoung Ko, Byunyoung Chung, Young-Chul Choi, Sooyoung Lee*, Hyunseok Oh*
Nuclear Engineering and Technology, 103474, 2025
A Physics-informed and data-driven deep learning approach for wave propagation and its scattering characteristics
Sooyoung Lee, Choon-Su Park, Keonhyeok Park, Hyung Jin Lee, Seungchul Lee
Engineering with Computers 39 (4), 2609-2625, 2023
Deep learning-based prediction and interpretability of physical phenomena for metaporous materials
Materials Today Physics 30, 100946, 2023
Wafer map failure pattern classification using geometric transformation-invariant convolutional neural network
Iljoo Jeong, Soo Young Lee, Keonhyeok Park, Iljeok Kim, Hyunsuk Huh, Seungchul Lee
Scientific Reports 13 (1), 8127, 2023
Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL‐PACT)
Seongwook Choi*, Jinge Yang*, Sooyoung Lee*, Jiwoong Kim, Jihye Lee, Won Jong Kim, Seungchul Lee, Chulhong Kim
Advanced Science 10 (1), 2202089, 2023 [Featured as Cover Article]
Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells
Keonhyeok Park, Jong Young Lee, Sooyoung Lee, Iljoo Jeong, Seo-Yeon Park, Jin Won Kim, Sun Ah Nam, Hyung Wook Kim, Yong Kyun Kim, Seungchul Lee
Kidney Research and Clinical Practice 42 (1), 75, 2023
Predicting multipotency of human adult stem cells derived from various donors through deep learning
Hyeonji Kim, Keonhyeok Park, Jung-Min Yon, Sung Won Kim, Sooyoung Lee, Iljoo Jeong, Jinah Jang, Seungchul Lee, Dong-Woo Cho
Scientific Reports 12 (1), 21614, 2022
A systematic mapping study and empirical comparison of data-driven intrusion detection techniques in industrial control networks
Bayu Adhi Tama, Sooyoung Lee, Seungchul Lee
Archives of Computational Methods in Engineering 29 (7), 5353-5380, 2022
Point-level deep learning approach for 3D acoustic source localization
Sooyoung Lee, Jiho Chang, Seungchul Lee
Smart Structures and Systems 29 (6), 777-783, 2022
Deep learning-enabled high-resolution and fast sound source localization in spherical microphone array system
IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022
Deep learning-based method for multiple sound source localization with high resolution and accuracy
Mechanical Systems and Signal Processing 161, 107959, 2021
Applications of deep learning for fault detection in industrial cold forging
Andrew Glaeser, Vignesh Selvaraj, Sooyoung Lee, Yunseob Hwang, Kangsan Lee, Namjeong Lee, Seungchul Lee, Sangkee Min
International Journal of Production Research 59 (16), 4826-4835, 2021
Deep learning-based estimation of the unknown road profile and state variables for the vehicle suspension system
Gyuwon Kim, Sooyoung Lee, Jong-Seok Oh, Seungchul Lee
IEEE Access 9, 13878-13890, 2021
Deep learning-based phase prediction of high-entropy alloys: Optimization, generation, and explanation
Sooyoung Lee, Seokyeong Byeon, Hyoung Seop Kim, Hyungyu Jin, Seungchul Lee
Materials & Design 197, 109260, 2021
Vision-based fault diagnostics using explainable deep learning with class activation maps
Kyung Ho Sun, Hyunsuk Huh, Bayu Adhi Tama, Sooyoung Lee, Joon Ha Jung, Seungchul Lee
IEEE Access 8, 129169-129179, 2020
Spatial and sequential deep learning approach for predicting temperature distribution in a steel-making continuous casting process
Sooyoung Lee, Bayu Adhi Tama, Changyun Choi, Jong-Yeon Hwang, Jonggeun Bang, Seungchul Lee
IEEE Access 8, 21953-21965, 2020
Remote machine mode detection in cold forging using vibration signal
Andrew Glaeser, Vignesh Selvaraj, Kangsan Lee, Namjeong Lee, Yunseob Hwang, Sooyoung Lee, Seungchul Lee, Sangkee Min
Procedia Manufacturing 48, 908-914, 2020
Steel surface defect diagnostics using deep convolutional neural network and class activation map
Sooyoung Lee, Bayu Adhi Tama, Seok Jun Moon, Seungchul Lee
Applied Sciences 9 (24), 5449, 2019
