DeepONet Cardiovascular Modeling
Deep Operator Network for cardiovascular hemodynamics modeling with physics-informed constraints for patient-specific predictions.
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1 min read
Professional Summary
My research lies at the intersection of biomedical engineering and AI,
developing non-invasive diagnostic systems using PPG signals.
I work closely with clinical partners at Severance Hospital on
IRB-approved studies for cardiovascular and emergency medicine applications.
Education
PhD Candidate, Mechanical Engineering
Yonsei University
BS, Mechanical Engineering
2016-03-01
2020-02-28
Pusan National University
Interests
Medical AI & Deep Learning
PPG Signal Processing
Cardiovascular Fluid Dynamics
Physics-Informed Neural Networks
Non-invasive Biomarker Prediction
Research Projects
PINO Coronary Flow Prediction
Physics-Informed Neural Operator (PINO) for efficient coronary artery blood flow simulation replacing traditional CFD methods.
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1 min read
EASYCHECK Dehydration & Viscosity System
Wearable PPG-based system for real-time dehydration assessment and blood viscosity monitoring in clinical settings.
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1 min read
PPG-based Fluid Loading Prediction
AI system for predicting fluid responsiveness using PPG spectrograms with ensemble deep learning models achieving AUC 0.85+
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1 min read
FFR Prediction & Coronary Artery Diagnosis
Optimized FFR prediction algorithm for diagnostic gray zone using hemodynamic features, synthetic models, and biometric data beyond conventional vessel imaging approaches.
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1 min read
Publications
(2025).
A Physics-Integrated Deep Learning Approach for Patient-Specific Non-Newtonian Blood Viscosity Assessment using PPG.
Computer Methods and Programs in Biomedicine, Vol. 265, 108740.
(2022).
Optimization of Tricuspid Membrane Mechanism for Effectiveness and Leaflet Longevity through Hemodynamic Analysis.
Engineering Applications of Computational Fluid Mechanics, 16(1), 1587-1600.
(2022).
Optimization of FFR Prediction Algorithm for Gray Zone by Hemodynamic Features with Synthetic Model and Biometric Data.
Computer Methods and Programs in Biomedicine, Vol. 220, 106827.
Contact
Feel free to reach out via email or connect with me on the platforms below.
Email: kochujam369@gmail.com
GitHub · Google Scholar · LinkedIn