Yonsei University (Mirae Campus)

Scientific Computing and Machine Learning Lab

Google Scholar

Journal Publications

2026


  1. H. Juen, and M. Shin, "CAFE+FNO: Fourier Kernel Generation via Multiplicative Feature Composition", Submitted, 2026.
  2. N. Son, J. Wang, S. Kim, and M. Shin, "From Force Plates to the Edge: A Compact Transformer for Gait Classification with Temporal Attribution and 3D Visualization", Submitted, 2026.
  3. Y. Kim, K. Yoon, and M. Shin, "Nonlinear Effects of Tumor–Aorta Separation on Thermal Coverage During Microwave Ablation: A Transient Multiphysics Analysis", Submitted, 2026.
  4. M. Shin and R. G. McClarren, "Moment-preserving collision-split discrete-ordinates transport", Submitted, 2026.
  5. Y. Jung, and M. Shin, "NoteSSM: Reducing Local Representation Compression in Long Discharge Summaries via Hierarchical Multi-Span Modeling", Submitted, 2026.
  6. M. Shin, "ALO-FPN: Adaptive local-order filtered PN methods for accurate and efficient radiation transport", Submitted, 2026.
  7. S. Cho, J. Park, M. Shin, J.-H. Kwon, and K. Yoon, "Learning Multiphysics Dynamics of Microwave Ablation Using a Multimodal Neural Network", Submitted, 2026.
  8. H. Ghafoor, M. Shin, and K. Yoon, "Towards Generalizable Ultrasound Segmentation via Physics-Guided Supervision", Submitted, 2025.
  9. N. Son, and M. Shin, "3D Digital Twin Visualization of Multiclass GRF-Based Gait Disorder Classification", Lecture Notes in Computer Science (LNCS), Accepted, 2026.
  10. D. Lee, K. Yoon, and M. Shin, "PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation", Lecture Notes in Computer Science (LNCS), Accepted, 2026.
  11. J. Ju, K. Yoon, and M. Shin, "Physics-Guided Synthetic High-Frequency Ultrasound Generation for Skin Layer Segmentation", Lecture Notes in Computer Science (LNCS), Accepted, 2026.
  12. Y. Jung, and M. Shin, "Observation-Anchored Selective Assimilation for Longitudinal Tumor-State Proxy Forecasting in Post-Treatment Glioma", Lecture Notes in Computer Science (LNCS), Accepted, 2026.
  13. Y. Kim, K. Yoon, and M. Shin, "3D Computational Modeling of the Vascular Heat-Sink Effect in Microwave Ablation of Tumors Close to the Aorta", Lecture Notes in Computer Science (LNCS), Accepted, 2026.
  14. J. Phee, H. Park, D. Kang, M. Shin, and K. Yoon, "MRI-Informed Multi-Modal Deep Learning for EEG Source Imaging with Subject-Specific Head Structure Recognition", Computer Methods and Programs in Biomedicine, 2026.
  15. M. Seol, M. Seo, M. Shin, S.-S. Yoo, and K. Yoon, "Deep Learning Based Real-Time Phase-Amplitude Correction for Phased Array Transducers in Transcranial Focused Ultrasound", Journal of Computational Design and Engineering, 2026.
  16. K. Lee, Y.-M. Shin, M. Shin, J. Kim, S. Lim, W.-Y. Shin, and K. Yoon, "Real-time Prediction of Breast Cancer Sites using Deformation-Aware Graph Neural Network", Engineering Applications of Artificial Intelligence, 2026.

2025


  1. J. Wang, N. Son, S. Kim, and M. Shin, "GRF‑Former: Advanced Transformer-based Model for Multi-Class Gait Disorder Classification using Ground Reaction Force Data", Submitted, 2025.
  2. M. Shin, "Uniform dispersive transitions for nonlocal Klein-Gordon equations with completely monotone Fourier potentials", Submitted, 2025.
  3. M. Shin, M. Seo, H. Choi, J. Jung, and K. Yoon, "Local stress fields prediction using global displacement through Fourier neural operators ", Journal of Computational Design and Engineering, 2025.

2024

  1. M. Shin, M. Seo, S. Cho, J. Park, J.H. Kwon, D. Lee, K. Yoon, "PhysRFANet: Physics-guided neural network for real-time prediction of thermal effect during radiofrequency ablation treatment ", Engineering Applications of Artificial Intelligence 138, 109349, 2024
  2. M. Seo, M. Shin, G. Noh, S.-S. Yoo, K. Yoon, "Multi-modal networks for real-time monitoring of intracranial acoustic field during transcranial focused ultrasound therapy ", Computer Methods and Programs in Biomedicine, 108458, 2024
  3. M. Shin, M. Seo, K. Lee, K. Yoon, "Super-resolution techniques for biomedical applications and challenges ", Biomedical Engineering Letters 14 (3), 465-496, 2024
  4. M. Shin, M. Seo, S.-S. Yoo, K. Yoon, "tFUSFormer: Physics-guided super-resolution Transformer for simulation of transcranial focused ultrasound propagation in brain stimulation ", IEEE Journal of Biomedical and Health Informatics 28 (7), 4024-4035, 2024
  5. M. Shin, C.D. Hauck, R.G. McClarren, "A collision-based hybrid method for the BGK equation ", Journal of Computational Physics 501, 112784, 2024.

2023


  1. B. Whewell, R.G. McClarren, C.D. Hauck, M. Shin, "Multigroup neutron transport using a collision-based hybrid method ", Nuclear science and engineering 197 (7), 1386-1405, 2023.
  2. M. Shin, Z. Peng, H.-J. Kim, S.-S. Yoo, K. Yoon, "Multivariable-incorporating super-resolution residual network for transcranial focused ultrasound simulation ", Computer Methods and Programs in Biomedicine 237, 107591, 2023.
  3. H.-J. Kim, S.-H. Um, Y.G. Kang, M. Shin, H. Jeon, B.-M. Kim, D. Lee, K. Yoon, "Laser–tissue interaction simulation considering skin-specific data to predict photothermal damage lesions during laser irradiation ", Journal of Computational Design and Engineering 10 (3), 947-958, 2023.

2022 and Before


  1. R.G. McClarren, J.A. Rossmanith, M. Shin, "Semi-implicit Hybrid Discrete HNT Approximation of Thermal Radiative Transfer ", Journal of Scientific Computing 90 (1), 2, 2022.
  2. M. Shin, "Hybrid discrete (HTN) approximations to the equation of radiative transfer ", Ph.D. thesis, Iowa State University, 2019.

Conference Papers

2026


  1. H. Jung, C. Yang, M. Shin, "Parameter-Efficient 1D-CNN for Diabetes Classification from Single-Channel PPG Signals: Data Diversity Matters More Than Model Complexity in a Moderate-Cohort VitalDB Study", 한국인공지능학회 하계학술대회, 2026.
  2. C. Yang, H. Jung, M. Shin, "Evaluation Protocol Matters in PPG-Based Diabetes Classification: A Subject-Level Study Using VitalDB", 한국인공지능학회 하계학술대회, 2026.
  3. H. Juen, M. Shin, "위상과 스케일의 변화를 학습하는 새로운 Neural Operator", 한국컴퓨터종합학술대회, 2026.
  4. D. Lee, M. Shin, "PINNMamba를 위한 고차 상태공간 Recurrence", 한국컴퓨터종합학술대회, 2026.
  5. Y. Jung, M. Shin, "NoteSSM: 임상기록을 위한 도메인 적응형 상태 공간 모델", 한국컴퓨터종합학술대회, 2026.
  6. M. Seol, M. Seo, M. Shin, S.-S. Yoo, K. Yoon, "Deep Learning Surrogate Model for Ultrasound Aberration Correction", KSIAM Spring Conference, 2026.
  7. H. Juen, M. Shin, "Fourier-Mellin Neural Operator for Phase and Scale Aware Spectral Learning", 강원경기수학회-호남수학회 공동학술대회, 2026.
  8. D. Lee, M. Shin, "Gauss-Lobatto Quadrature-Based Reccurence for State-Space Physics-Informed Neural Networks", 강원경기수학회-호남수학회 공동학술대회, 2026.

2025


  1. M. Shin, K. Yoon, "State-Space Physics-Informed Networks with Hybrid Spectral Embeddings for the Westervelt Equation", 2025년 대한수학회 정기총회 및 가을 연구발표회, 2025.
  2. S. Cho, M. Seo, M. Shin, K. Yoon, "Towards Digital Twin of RF Ablation: Real-Time Prediction of Time-Dependent Thermal Effects Using Transformer", MICCAI DT4H, 2025.
  3. M. Seo, M. Shin, G. Noh, S.-S. Yoo, K. Yoon, "Acoustic Simulation with Deep Learning for Low-intensity Transcranial Focused Ultrasound Digital Twins", MICCAI DT4H, 2025.
  4. K. Yoon, M. Seo, M. Shin, S.-S. Yoo, "Artificial Intelligence Assisted Transcranial Focused Ultrasound", ULTRASONICS 2025, 2025.
  5. M. Seo, M. Shin, G. Noh, S.-S. Yoo, K. Yoon, "Multi-Modal Deep Learning for Real-Time Monitoring of Intracranial Acoustic Field in Transcranial Focused Ultrasound", 24th Annual International Symposium for Therapeutic Ultrasound, 2025.
  6. K. Yoon, M. Seo, M. Shin, "Towards Smart Transcranial Focused Ultrasound Therapy Using AI Technologies", The International Conference on Ultrasound, 2025.
  7. M. Seol, M. Seo, M. Shin, S.-S. Yoo, K. Yoon, "Real-Time Surrogate Modeling for Ultrasound Aberration Correction", 2026 KSIAM Spring Conference, 2025.
  8. M. Shin, M. Seo, H. Choi, J. Jung, K. Yoon, "퓨리에 뉴럴 오퍼레이터를 이용한 컨테이너선 코너 영역 국소 응력장 예측", 한국전산구조공학회 2025년도 정기학술대회, 2025.

2024


  1. M. Shin, M. Seo, S.-S. Yoo, W.-Y. Shin, K. Yoon, "경두개 집속 초음파 시뮬레이션 초해상도 트랜스포머에 관한 연구 ", 2024년도 한국통신학회 동계종합학술발표회 논문집, 556-557, 2024

2023


  1. M. Seo, M. Shin, G. Noh, K. Yoon, "Multi-Modal Generative Adversarial Network for Transcranial Focused Ultrasound Simulation ", 한국통신학회 학술대회논문집, 428-428, 2023.
  2. M. Shin, M. Seo, K. Yoon, "Multi-channel Super-Resolution Transformer for the tFUS Simulation ", 대한기계학회 춘추학술대회, 7-7, 2023.
  3. M. Seo, M. Shin, K. Yoon, "Real-Time Pressure Field Monitoring of Transcranial Focused Ultrasound using Generation Adversarial Network ", 대한기계학회 춘추학술대회, 88-88, 2023.