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Industrial AI Laboratory

Publication

Journal Publication

Manuscript in Preparation

  1. Language Model-driven Cross-modal Symbolic Regression for Discovering Governing Equations in Real-World Sparse Measurement Applications
  2. MoS-AM: A Mixture-of-Solvers Large Language Model for 3D Printing Process Optimization
  3. Optimizable Path-guided Diffusion Model for Deep Generative Lattice Structures
  4. Score-based Combinatorial Diffusion for Generative Designs of Multi-layered Metasurfaces
  5. A Novel Continual Low-Rank Adaptation Approach for Multi-Task Generalization of Large Language Models
  6. Optimization of Femtosecond Laser-based Additive Manufacturing via Multimodal Deep Learning
  7. Tri-modal Diffusion Model for Targeted Generative Designs of Scattering Objects
  8. LAAPI-DeepONet: A Layer-adaptive Physics-informed Deep Operator Network for Multi-layered Heat Spreading
  9. Human-embedded Language Model for Inverse Design of Architected Materials

Under Review

  1. MoSE: Mixture-of-Signal-Experts for Versatile Large Language Model-driven Signal Analytics
  2. Autoheuristic Optimization of Physics-informed Neural Networks via Expert-embedded Language Model
  3. Auto-CellPI: Automatic Cell-based Architecture Design Optimization for Physics-informed Neural Networks
  4. Large Language Model-enhanced Multi-agent System for Seamless Design and Manufacturing Processes
  5. REALM: A Layer-attentive Transformer for Real-time Non-destructive to Destructive Mapping in Additive Manufacturing
  6. A Local Large Language Model for Automated Severe Accident Analysis of Small Modular Reactors
  7. Posture-adaptive Deep Geometric Learning for Real-Time Personalization of Intrabody Electric Potential
  8. Deep Generative and Explainable Prompt-guided Latent Diffusion: A Case Study on 3D Drone Design
  9. DroneMorph: A High-Fidelity and Diverse 3D Drone Shape Dataset for Design Optimization
  10. Learning Complex Transient Dynamics via Physically-aligned Flow Matching
  11. Cascaded Physics-informed Operator Learning Approach for Real-time Monitoring of Thermal-Stress Coupling in Mechanical Components
  12. DANA: Diffusion-based Aerial Noise Auralization for Realistic Synthesis of Quadcopter Noise
  13. Physics-informed Neural Networks Combined with Gaussian Processes for Multichip Module Layout Optimization
  14. Attention-based Adaptive Learning Approach for Intelligent Anti-drone Monitoring System
  15. Uncertainty-aware and Mechanistically-regularized Spiking Neural Networks for On-board Motor Degradation Estimation in Steer-by-wire Systems
  16. Prompt-guided Diffusion Approach for Deep Generative Vehicle Designs under User-defined Specifications

Published

  1. Donghyun Ra, Dongwon Lee, and Sooyoung Lee, "Language Model-driven Anomaly Detection and Interpretation in Chaotic Signals via Temporal-Dynamics-aware Embedding", Chaos, Solitons & Fractals 208, 118157, 2026 (IF=5.6, JCR Top 0.8%, #1 in Mathematical Physics) [Link]
  2. Jongmok Lee, Chaeyun Won, Anna Lee, Bumsoo Park, Sooyoung Lee*, and Seungchul Lee*, "A Geometry-adaptive Physics-informed Operator Framework (GAPI-DeepONet) Generalized for Arbitrary Geometries", Engineering Applications of Artificial Intelligence 174, 114457, 2026 (IF=8.0, JCR Top 2.5%) [Link]
  3. Seongmin Kwak and Sooyoung Lee, "Dual-Encoder Generative Anomaly Detection for Casting Surface Defect Detection", International Journal of Precision Engineering and Manufacturing-Green Technology, 1-12, 2026 (IF=5.6, JCR Top 9.6%) [Link]
  4. Donghyun Ra, Jaeryun Lee, Minwoo Lee, Seongmin Kwak, Seungchul Lee*, and Sooyoung Lee*, "Physics-informed Machine Learning across Manufacturing Processes: Recent Advances, Challenges, and Directions", Journal of Manufacturing Systems 85, 72-95, 2026 (IF=14.2, JCR Top 0.5%, #1 in Industrial Engineering) [Link]
  5. Dongwon Lee, Hyung Jin Lee, Choon-Su Park, and Sooyoung Lee, "DiffectNet: Diffusion-enabled Conditional Target Generation for Non-destructive Ultrasonic Defects", Mechanical Systems and Signal Processing 240 (1), 113454, 2025 (IF=8.9, JCR Top 3.0%) [Link]
  6. Keonhyeok Park, Jun Hyeong Park, Bumsoo Park, Hyung Jin Lee, Sooyoung Lee, Iljoo Jeong, Anna Lee, Choon-Su Park, and Seungchul Lee, "Deep Learning Framework for Image Enhancement of Phased Array Ultrasonic Imaging", Results in Engineering, 106929, 2025 (IF=7.9, JCR Top 3.1%) [Link]
  7. Changhyeon Yoon, Seonghyun Park, and Sooyoung Lee, "Deep Learning-enabled Accurate and Interpretable Stress-strain Characterization from Ultrasonic Measurements", International Journal of Mechanical Sciences, 110695, 2025 (IF=9.4, JCR Top 2.5%) [Link]
  8. Sooyoung Lee, Jihun Lee, Joong Seok Lee, and Seungchul Lee, "Deep Learning-accelerated Multiple Design Generation for Sound-absorbing Metaporous Materials", Engineering Applications of Artificial Intelligence 156, 111172, 2025 (IF=8.0, JCR Top 2.5%) [Link]
  9. Anton Nailevich Gafurov+, Sooyoung Lee+, Uzair Ali, Muhammad Irfan, Inyoung Kim, and Taik-Min Lee, "AI-driven Digital Twin for Autonomous Web Tension Control in Roll-to-roll Manufacturing System", Scientific Reports 15 (1), 1-17, 2025 (JCR Top 18.1%) [Link]
  10. Jeongwoo Lee and Sooyoung Lee, "A Deep Generative Approach for Neural Augmentation of Heat Sink Surface Defects", International Journal of Precision Engineering and Manufacturing-Smart Technology 3, 151-159, 2025 [Editor-in-Chief's Choice] [Link]
  11. Jungsik Choi, Jeongmin Oh, Taeyoung Ko, Byunyoung Chung, Young-Chul Choi, Sooyoung Lee*, and Hyunseok Oh*, "Intelligent Metallic Loose Part Monitoring in Three-dimensional Structures using Convolutional Neural Networks and Position-invariant Loss Function", Nuclear Engineering and Technology, 103474, 2025 (JCR Top 15.9%) [Link]
  12. Sooyoung Lee, Choon-Su Park, Keonhyeok Park, Hyung Jin Lee, and Seungchul Lee, "A Physics-informed and Data-driven Deep Learning Approach for Wave Propagation and its Scattering Characteristics", Engineering with Computers 39 (4), 2609-2625, 2023 (IF=7.3, JCR Top 3.0%) [Link]
  13. Sooyoung Lee, Jihun Lee, Joong Seok Lee, and Seungchul Lee, "Deep Learning-based Prediction and Interpretability of Physical Phenomena for Metaporous Materials", Materials Today Physics 30, 100946, 2023 (IF=11.5, JCR Top 8.4%) [Link]
  14. Seongwook Choi+, Jinge Yang+, Sooyoung Lee+, Jiwoong Kim, Jihye Lee, Won Jong Kim, Seungchul Lee, and Chulhong Kim, "Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL‐PACT)", Advanced Science 10 (1), 2202089, 2023 (IF=15.1, JCR Top 6.8%) [Featured as a Cover Article] [Link]
  15. Iljoo Jeong, Sooyoung Lee, Keonhyeok Park, Iljeok Kim, Hyunsuk Huh, and Seungchul Lee, "Wafer Map Failure Pattern Classification using Geometric Transformation-invariant Convolutional Neural Network", Scientific Reports 13 (1), 8127, 2023 (JCR Top 18.3%) [Link]
  16. Keonhyeok Park, Jong Young Lee, Sooyoung Lee, Iljoo Jeong, Seo-Yeon Park, Jin Won Kim, Sun Ah Nam, Hyung Wook Kim, Yong Kyun Kim, and Seungchul Lee, "Deep Learning Predicts the Differentiation of Kidney Organoids derived from Human-induced Pluripotent Stem Cells", Kidney Research and Clinical Practice 42 (1), 75, 2023 (JCR Top 15.4%) [Link]
  17. Hyeonji Kim, Keonhyeok Park, Jung-Min Yon, Sung Won Kim, Sooyoung Lee, Iljoo Jeong, Jinah Jang, Seungchul Lee, and Dong-Woo Cho, "Predicting Multipotency of Human Adult Stem Cells derived from Various Donors through Deep Learning", Scientific Reports 12 (1), 21614, 2022 (JCR Top 18.3%) [Link]
  18. Bayu Adhi Tama, Sooyoung Lee, and Seungchul 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), 5353-5380, 2022 (IF=9.7, JCR Top 0.5%) [Link]
  19. Sooyoung Lee, Jiho Chang, and Seungchul Lee, "Point-level Deep Learning Approach for 3D Acoustic Source Localization", Smart Structures and Systems 29 (6), 777-783, 2022 (JCR Top 19.5%) [Link]
  20. Sooyoung Lee, Jiho Chang, and Seungchul Lee, "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 (IF=5.9, JCR Top 8.2%) [Link]
  21. Sooyoung Lee, Jiho Chang, and Seungchul Lee, "Deep Learning-based Method for Multiple Sound Source Localization with High Resolution and Accuracy", Mechanical Systems and Signal Processing 161, 107959, 2021 (IF=8.9, JCR Top 2.5%) [National Top 10 Mechanical Technologies] [Link]
  22. Andrew Glaeser, Vignesh Selvaraj, Sooyoung Lee, Yunseob Hwang, Kangsan Lee, Namjeong Lee, Seungchul Lee, and Sangkee Min, "Applications of Deep Learning for Fault Detection in Industrial Cold Forging", International Journal of Production Research 59 (16), 4826-4835, 2021 (IF=9.0, JCR Top 6.3%) [Link]
  23. Gyuwon Kim, Sooyoung Lee, Jong-Seok Oh, and Seungchul Lee, "Deep Learning-based Estimation of the Unknown Road Profile and State Variables for Vehicle Suspension System", IEEE Access 9, 13878-13890, 2021 [Link]
  24. Sooyoung Lee, Seokyeong Byeon, Hyoung Seop Kim, Hyungyu Jin, and Seungchul Lee, "Deep Learning-based Phase Prediction of High-entropy Alloys: Optimization, Generation, and Explanation", Materials & Design 197, 109260, 2021 (IF=9.4, IF=16.6%) [Link]
  25. Kyung Ho Sun, Hyunsuk Huh, Bayu Adhi Tama, Sooyoung Lee, Joon Ha Jung, and Seungchul Lee, "Vision-based Fault Diagnostics using Explainable Deep Learning with Class Activation Maps", IEEE Access 8, 129169-129179, 2020 [Link]
  26. Sooyoung Lee, Bayu Adhi Tama, Changyun Choi, Jong-Yeon Hwang, Jonggeun Bang, and Seungchul Lee, "Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-making Continuous Casting Process", IEEE Access 8, 21953-21965, 2020 [Link]
  27. Andrew Glaeser, Vignesh Selvaraj, Kangsan Lee, Namjeong Lee, Yunseob Hwang, Sooyoung Lee, Seungchul Lee, and Sangkee Min, "Remote Machine Mode Detection in Cold Forging using Vibration Signal", Procedia Manufacturing 48, 908-914, 2020 [Link]
  28. Sooyoung Lee, Bayu Adhi Tama, Seok Jun Moon, and Seungchul Lee, "Steel Surface Defect Diagnostics using Deep Convolutional Neural Network and Class Activation Map", Applied Sciences 9 (24), 5449, 2019 [Link]