# Hyeong Jun Lee, CV Postdoctoral Researcher, Multiscale Fluid Dynamics Lab, School of Mechanical Engineering, Yonsei University Project Researcher, Yonsei University Health System, 4D CT-FFR project Technical Research Personnel (alternative military service, through Aug. 2027), Engineering Research Institute, Yonsei University PDF: [https://hyeongjunlee.me/uploads/resume.pdf](https://hyeongjunlee.me/uploads/resume.pdf) · Machine-readable: [https://hyeongjunlee.me/cv.json](https://hyeongjunlee.me/cv.json) [Email](mailto:hjunlee96@gmail.com) · [CV (PDF)](https://hyeongjunlee.me/uploads/resume.pdf) · [LinkedIn](https://www.linkedin.com/in/hyeongjunlee/) · [Google Scholar](https://scholar.google.com/citations?user=1NxM3T0AAAAJ&hl=en) · [ORCID](https://orcid.org/0009-0001-5691-3787) ## Research interests {#interests} I work across computational hemodynamics, physics-informed AI, wearable biosignals and medical devices. ## Education {#education} - **Ph.D. in Mechanical Engineering (Integrated M.S.–Ph.D. Program)**, Yonsei University, Seoul, Republic of Korea · Mar. 2020 – Aug. 2026 Dissertation: "Patient-Specific Computational Hemodynamics: Flow Field Analysis for Cardiovascular Assessment"; Advisor: Prof. Joon Sang Lee - **B.Eng. in Mechanical Engineering**, Pusan National University, Busan, Republic of Korea · Mar. 2016 – Feb. 2020 ## Appointments {#appointments} - **Postdoctoral Researcher, Multiscale Fluid Dynamics Lab (PI: Prof. Joon Sang Lee)**, Yonsei University, Seoul, Republic of Korea · Sep. 2026 – Present Appointment: Technical Research Personnel (alternative military service, through Aug. 2027), Engineering Research Institute, Yonsei University. - Physics-informed neural operators for real-time, patient-specific prediction of coronary flow fields (journal manuscript in preparation). - Wearable PPG biomarkers: deep-learning ensemble that predicts fluid-bolus needs from smartwatch PPG spectrograms [M1]; blood pressure, viscosity and hydration estimation. - Dynamic 4D CT-FFR and 4D flow-based coronary risk assessment in government-funded projects (KHIDI, NRF). - **Graduate Research Assistant, Multiscale Fluid Dynamics Lab (Advisor: Prof. Joon Sang Lee)**, Yonsei University, Seoul, Republic of Korea · Mar. 2020 – Aug. 2026 - Coronary CT-FFR: built image-based, patient-specific CFD pipelines (incl. lattice Boltzmann method) and a gray-zone FFR prediction algorithm combining hemodynamic features, synthetic vessel models and biometric data [J4]. - Physics-informed neural operators: developed a PINO surrogate (PointNet++ branch, Fourier-feature trunk, Navier–Stokes residual regularization) that predicts 3D coronary pressure and velocity fields on unseen geometries in seconds [C1]. - Dynamic 4D CT-FFR: CFD and FFR analysis on diffusion-synthesized full-cycle 4D coronary CT (from two acquired phases), turning the synthesized sequence into time-resolved FFR [J1, C2]. - Wearable hemodynamics: designed a physics-constrained CNN-LSTM with a Carreau–Yasuda prior to estimate patient-specific non-Newtonian blood viscosity from smartwatch PPG [J2]. - Cardiac device hemodynamics: CFD-based optimization of a tricuspid regurgitation membrane device [J3]. - **Research Intern**, E8 (E8IGHT Co., Ltd.), Seoul, Republic of Korea · Jan. 2021 – Jun. 2021 - Performed lattice Boltzmann method (LBM)-based computational fluid dynamics simulations. ## Publications {#publications} 4 journal articles · 2 proceedings · 1 under revision. † first author, * corresponding author. ### Journal articles (SCIE) - **Synthesis of coronary 4D CT image by denoising diffusion probabilistic model** [J1] T.H. Han†, Y.W. Kim, H.J. Lee, J.S. Kim, S.G. Lee, D.H. Yang, H.M. Oh, D.S. Kim, S.Y. Shin, S. Song, J.S. Lee* Computer Methods and Programs in Biomedicine · 282, 109382 · 2026 · Co-author · doi:[10.1016/j.cmpb.2026.109382](https://doi.org/10.1016/j.cmpb.2026.109382) - **A Physics-Integrated Deep Learning Approach for Patient-Specific Non-Newtonian Blood Viscosity Assessment using PPG** [J2] H.J. Lee†, Y.W. Kim, S.Y. Shin, S.L. Lee, C.H. Kim, K.S. Chung*, J.S. Lee* Computer Methods and Programs in Biomedicine · 265, 108740 · 2025 · First author · doi:[10.1016/j.cmpb.2025.108740](https://doi.org/10.1016/j.cmpb.2025.108740) - **Optimization of tricuspid membrane mechanism for effectiveness and leaflet longevity through hemodynamic analysis** [J3] Y.W. Kim†, H.J. Lee, S.J. Jung, J.H. Kim*, J.S. Lee* Engineering Applications of Computational Fluid Mechanics · 16(1), 1587–1600 · 2022 · Co-author · doi:[10.1080/19942060.2022.2104929](https://doi.org/10.1080/19942060.2022.2104929) - **Optimization of FFR prediction algorithm for gray zone by hemodynamic features with synthetic model and biometric data** [J4] H.J. Lee†, Y.W. Kim†, J.H. Kim, Y.J. Lee, J.S. Moon, P. Jeong, J.H. Jeong, J.S. Kim*, J.S. Lee* Computer Methods and Programs in Biomedicine · 220, 106827 · 2022 · Co-first author · doi:[10.1016/j.cmpb.2022.106827](https://doi.org/10.1016/j.cmpb.2022.106827) ### Peer-reviewed proceedings - **Patient-Specific Coronary Flow Field Prediction Using Physics-Informed Neural Operators** [C1] H.J. Lee†, T.H. Han, J.S. Kim, S.G. Lee, J.S. Lee* Proc. ASME 2026 Design of Medical Devices Conference (DMD2026), Minneapolis, MN, USA · V001T02A010 · 2026 · First author · doi:[10.1115/DMD2026-1091](https://doi.org/10.1115/DMD2026-1091) - **Deriving Dynamic Fractional Flow Reserve From 4D Coronary CT Synthesized by a Diffusion Model** [C2] T.H. Han†, Y.W. Kim, H.J. Lee, J.S. Kim, S.G. Lee, D.H. Yang, H.M. Oh, J.S. Lee* Proc. ASME 2026 Design of Medical Devices Conference (DMD2026), Minneapolis, MN, USA · V001T02A011 · 2026 · Co-author · doi:[10.1115/DMD2026-1092](https://doi.org/10.1115/DMD2026-1092) ### Manuscript under revision - **Multi-Model Deep-Learning Ensemble for Predicting 24-Hour Fluid Bolus Administration from Continuous Photoplethysmography Spectrogram Analysis** [M1] H.J. Lee†, J. Myung, J.Y. Hong*, J.S. Lee* Engineering Applications of Artificial Intelligence · First author · First revision under review ## Talks {#talks} 16 talks: 6 international, 10 domestic, 9 presented by me. | Year | Title | Venue | Format | Role | | --- | --- | --- | --- | --- | | 2026 | Patient-Specific Coronary Flow Field Prediction Using Physics-Informed Neural Operators | ASME Design of Medical Devices Conference (DMD2026), Minneapolis, MN, USA | poster | presenter | | 2026 | Dynamic Fractional Flow Reserve from 4D Coronary CT Synthesized by a Diffusion Model | ASME Design of Medical Devices Conference (DMD2026), Minneapolis, MN, USA | poster | co-author | | 2025 | Patient-Specific Coronary Flow Field Prediction Using Physics-Informed Neural Operators | 18th Asian Congress of Fluid Mechanics (ACFM), Seoul, Korea | oral | presenter | | 2024 | AI-based Hemorheology Prediction with Patient-Specific Biometric Boundary Conditions | 26th International Congress of Theoretical and Applied Mechanics (ICTAM), Daegu, Korea | short oral & poster | presenter | | 2022 | Optimization of Artificial Intelligence Algorithms for FFR Prediction in Gray Zone | 10th International Conference of Manufacturing Technology Engineers (ICMTE), Gyeonggi-do, Korea | oral | presenter | | 2021 | Estimating CFD-based CT FFR using lattice Boltzmann method – 3D geometry auto segmentation and novel patient-specific computation | ESCHM-ISCH-ISB 2021, Fukuoka, Japan | oral | presenter | | 2025 | A Physics-Integrated Deep Learning Approach for Patient-Specific Non-Newtonian Blood Viscosity Assessment using PPG | Biomedical Engineering Society for Circulation (BESCO) Summer Meeting, Gwangmyeong | poster | presenter | | 2025 | Time-resolved Coronary Flow Visualization from Single-phase CT | Biomedical Engineering Society for Circulation (BESCO) Summer Meeting, Gwangmyeong | poster | co-author | | 2024 | Arterial Blood Pressure and Blood Viscosity Estimation from AI-based PPG Analysis | Biomedical Engineering Society for Circulation (BESCO) Winter Meeting, Seongnam | poster | co-author | | 2024 | FFR Prediction with Quantum Machine Learning: Accurate and Non-invasive Diagnosis with Limited Features | Biomedical Engineering Society for Circulation (BESCO) Winter Meeting, Seongnam | poster | co-author | | 2024 | Blood viscosity estimation from wearable device using AI-based PPG analysis | Biomedical Engineering Society for Circulation (BESCO) Summer Meeting, Daejeon | poster | co-author | | 2024 | Carved membrane design for tricuspid valve regurgitation treatment | Biomedical Engineering Society for Circulation (BESCO) Summer Meeting, Daejeon | poster | co-author | | 2023 | Unlocking Predictive Health Outcomes with Biometric Data | Korean Society of Mechanical Engineers (KSME) Conference, Songdo | oral | presenter | | 2023 | Modeling Coronary Artery Hemodynamics: Exploring DCNN Surrogate Models in Preliminary Research | Biomedical Engineering Society for Circulation (BESCO) Summer Meeting, Daegu | oral | presenter | | 2022 | Artificial Intelligence Algorithms for FFR Prediction in Gray Zone by Single-view Angiography | Biomedical Engineering Society for Circulation (BESCO) Winter Meeting, Seoul | short oral & poster; Best Paper Award | presenter | | 2021 | Autonomous Cardiovascular Hemodynamics Analysis using Patient-Specific CFD Simulation with Unsupervised Learning-based Coronary Artery Segmentation | Biomedical Engineering Society for Circulation (BESCO) Summer Meeting, Seoul | oral | co-author | ## Patents {#patents} 16 filings, 2 registered, 14 pending. | Title | Status | Number | | --- | --- | --- | | AI-based noninvasive urodynamics test method and apparatus | registered Dec. 2025 | KR 10-2022-0085583 (reg. 10-2902500) | | Optimization system and method of AI algorithm for prediction coronary artery lesions based on FFR | registered Nov. 2025 | KR 10-2022-0030019 (reg. 10-2882193) | | Patient-specific coronary flow prediction method based on physics-informed neural operators | pending | KR 10-2026-0003225 | | Deep learning-based multiphase coronary CT interpolation system and method | pending | US 19/397,163 | | Deep learning-based multiphase coronary CT interpolation system and method | pending | KR 10-2025-0149607 | | Device and method for predicting viscosity using AI in a viscosity prediction system | pending | PCT/KR2025/002462 | | Device and method for predicting viscosity using AI in a viscosity prediction system | pending | KR 10-2025-0021284 | | Deep learning-based multiphase coronary CT interpolation method | pending | KR 10-2024-0168733 | | Method for predicting blood glucose and diabetes using PPG signals and biometric information | pending | KR 10-2024-0147541 | | Wearable device for monitoring glaucoma suspect and method for monitoring glaucoma suspect | pending | PCT/KR2024/012365 | | Non-Newtonian fluid viscosity modeling of patient blood using wearable device-based PPG and biometric information | pending | KR 10-2024-0026709 | | Systolic and diastolic viscosity prediction algorithm using wearable device-based PPG and biometric information | pending | KR 10-2024-0028201 | | Glucose and diabetes prediction algorithm using wearable device-based PPG and biometric information | pending | KR 10-2023-0144347 | | Wearable device for monitoring glaucoma suspect and method for monitoring glaucoma suspect | pending | KR 10-2023-0118582 | | Glaucoma diagnosis method and system based on contactless biosignals | pending | KR 10-2023-0078883 | | Optimization system and method of AI algorithm for prediction coronary artery lesions based on FFR | pending | US 17/820,819 | ## Funded projects (participating researcher) {#projects} Role on every project: participating researcher. - **Real-Time Precision Medicine Platform Based on Smart Hemodynamic Indices** · National Research Foundation of Korea (NRF), Leading Research Center Program · NRF-2022R1A5A1022977 · Jun. 2022 – Feb. 2029 - **4D Coronary Flow Visualization from CT in Real Time (4D CT-FFR)** · Ministry of Health and Welfare / KHIDI, Clinical-Needs Translational Research · RS-2024-00406717 · Apr. 2024 – Dec. 2026 - **4D Flow-Based Diagnostic Device for Dynamic Risk Assessment of Anomalous Origin of the Coronary Artery in Children and Adolescents** · Ministry of Health and Welfare / KHIDI, Pediatric Disease R&D Program · RS-2025-02263580 · Apr. 2025 – Dec. 2028 - **Patient-Specific Coronary Artery Disease Risk Analysis Software** · Ministry of SMEs and Startups, Startup Growth Technology Development Program (TIPS) · RS-2024-00441761 · Jul. 2024 – Jun. 2026 - **Patient-Specific Implantable Device for Tricuspid Regurgitation Using 3D Heart Printing and 4D-CFD Simulation** · Ministry of Health and Welfare / Korea Medical Device Development Fund · KMDF_PR_20200901_0104 · Sep. 2020 – Dec. 2025 - **Variable Negative-Pressure Tunnel for Respiratory Infection Control** · Ministry of Health and Welfare / KHIDI, Infectious Disease Medical Safety Technology Program · HG22C0001 · Apr. 2022 – Dec. 2024 - **High-Speed Point-of-Care FFR Simulator for Cardiovascular Diagnosis and Treatment** · NRF, Bio & Medical Technology Development Program · 2017M3A9E907337122 · Feb. 2020 – May 2022 ## Awards and fellowships {#awards} - 2026 · **Merit Academic Paper Award**, School of Mechanical Engineering, Yonsei University (for the 2025 CMPB paper on PPG-based non-Newtonian blood viscosity assessment) - 2022 · **Best Paper Award**, Biomedical Engineering Society for Circulation (BESCO) - 2022 · **Merit Academic Paper Award**, Yonsei University - 2022 · **Best Paper Award**, School of Mechanical Engineering, Yonsei University - 2022–2025 · **BK21 FOUR Graduate Research Scholarship (7 semesters)**, Ministry of Education / NRF - 2020–2021 · **BK21 PLUS Scholarship**, Ministry of Education / NRF - 2021 · **Academic Research Fellowship (ARF)**, Yonsei University ## Teaching {#teaching} - Teaching Assistant, School of Mechanical Engineering, Yonsei University · Mar. 2020 – Dec. 2020 ## Skills {#skills} - **Computational**: image-based, patient-specific coronary CFD; lattice Boltzmann method; hemodynamic indices (FFR, wall shear stress); non-Newtonian blood rheology - **Machine learning**: physics-informed neural networks and neural operators (DeepONet/PINO); surrogate modeling; diffusion models; CNN/LSTM; ensemble learning - **Data**: coronary CT angiography (incl. 4D CT); invasive FFR; smartwatch PPG signals; multi-institutional clinical collaborations - **Languages**: Korean (native); English (professional working proficiency) --- Open to collaboration, positions and paper requests. [Email](mailto:hjunlee96@gmail.com) · [CV (PDF)](https://hyeongjunlee.me/uploads/resume.pdf) · [LinkedIn](https://www.linkedin.com/in/hyeongjunlee/) · [Google Scholar](https://scholar.google.com/citations?user=1NxM3T0AAAAJ&hl=en) · [ORCID](https://orcid.org/0009-0001-5691-3787) Updated 2026-10-21 · hyeongjunlee.me