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01 About · 02 Research Focus · 03 Publications · 04 Experience · 05 Awards & Milestones · 06 Tech Stack · 07 GitHub Readout
"A heartbeat lasts a moment — the story it tells lasts a lifetime."
┌─ ECG REPORT ───────────────────────────────────────────────┐
│ NAME Dong-Hyuk Lee │
│ ROLE AI Researcher · Medical AI Co., Ltd. │
│ DEPT AI Group, R&D Dept. │
│ FOCUS ECG × Deep Learning │
│ PRIOR Kwangwoon Univ. · NeuroAI Lab. │
│ STATUS ● RECORDING │
└─────────────────────────────────────────────────── LEAD II ┘
I'm an AI Researcher at Medical AI Co., Ltd., building deep learning systems that read what the human eye cannot — from the ECG.
My research sits at the intersection of representation learning and physiological signals: I design contrastive and multimodal objectives that pull clinically meaningful structure out of raw biosignals.
┌─ INTERPRETATION ───────────────────────────────────────────┐
│ Representation learning on physiological signals. │
│ Contrastive and multimodal objectives that pull │
│ clinically meaningful structure out of raw biosignals. │
└────────────────────────────────────────────── SINUS RHYTHM ┘
| Direction | Description | |
|---|---|---|
01 |
ECG-based Diagnosis Multi-label cardiac abnormality detection |
다양한 심장 질환을 딥러닝으로 스크리닝 |
02 |
ECG Foundation Model Construct & Optimize ECG foundation model |
심전도 기반 거대 모델 설계 및 최적화 |
03 |
Beyond the Waveform Hidden physiological states |
파형 너머의 생리학적 상태를 찾아내는 표현학습 |
| Primary | ECG Deep Learning Cardiac Age Estimation Biosignal Processing |
| Secondary | Multimodal Learning Contrastive Learning eXplainable AI Emotion Recognition |
| Signal | Method | Application | Venue |
|---|---|---|---|
| Facial Video | Balanced CL · Global-Local CL Spatio-Temporal Maps × Cross-Attention |
Remote Heart Rate Estimation rPPG |
ICEIC '25 IEIE '24·'25 JBHI in progress · Patent filed |
| Conversation Audio · Text · Vision |
Inter-Dialog CL Multimodal Graph Representation |
Emotion Recognition in Conversations |
ICASSP '26 KOSOMBE '24 Oral · Best Poster · TAFFC review |
| Wearable Biosignals | Multimodal physiomarker analysis | Alcohol Craving-State Detection | IEIE '25 JBHI review |
| ECG ← current |
Foundation model adaptation Multi-label / multi-task learning |
Disease screening · Cardiac age Hidden physiological states |
Medical AI industry research |
1st author · ORAL · AWARD · UNDER REVIEW · IN PROGRESS
| Status | Venue | Title |
|---|---|---|
IN PROGRESS |
IEEE JBHI 2026 |
Remote Heart Rate Estimation via Global-Local Contrastive Learning for Robust Physiological Measurement D.-H. Lee, D. H. Kim, Y.-S. Choi 1st author |
UNDER REVIEW |
IEEE TAFFC 2026 |
Topology-Aware Cross-Modal Alignment for Robust Multimodal Fusion in Conversational Emotion Recognition D. H. Kim, D.-H. Lee, Y.-S. Choi |
UNDER REVIEW |
IEEE JBHI 2026 |
Identifying Wearable Multimodal Physiomarkers under Graded Alcohol Craving Level During VR Cue Elicitation D. H. Kim, M. S. Lee, D.-H. Lee, J.-Y. Lee, Y.-S. Choi, et al. |
| Year | Venue | Title |
|---|---|---|
| 2026 | ICASSP ORAL |
Inter-Dialog Contrastive Learning for Multimodal Emotion Recognition in Conversations D.-H. Lee, D. H. Kim, Y.-S. Choi 1st author |
| 2025 | ICEIC | Remote Heart Rate Estimation From Facial Videos With Balanced Contrastive Learning D.-H. Lee, D. H. Kim, Y.-S. Choi 1st author |
펼쳐보기 · 5 papers
| Date | Venue | Title |
|---|---|---|
| 2025.11 | IEIE Autumn | Correlation Analysis of Biomarkers using Multimodal Biosignals for Detecting Craving States in Patients with Substance Use Disorder M. S. Lee, D. H. Kim, D.-H. Lee, J.-Y. Lee, Y.-S. Choi, et al. |
| 2025.06 | IEIE Summer | Remote Heart Rate Estimation with Blood Flow-Direction-Aware Spatio-Temporal Maps and Cross-Color Space Attention D.-H. Lee, Y.-S. Choi 1st author |
| 2025.06 | IEIE Summer | A Study on the Exploration of Physiological Biomarkers for Classifying Alcohol Craving Levels Based on Heart Rate Responses M. S. Lee, J.-Y. Lee, D.-H. Lee, D. H. Kim, Y.-S. Choi, et al. |
| 2024.06 | IEIE Summer | Contactless Heart Rate Estimation based on Patch Shift fused Video Vision Transformer D.-H. Lee, Y.-S. Choi 1st author |
| 2024.05 | KOSOMBE Spring AWARD |
Emotion Recognition based on Multimodal Graph Representation Learning of Senior Utterance D. H. Kim, M. S. Lee, D.-H. Lee, C.-M. Kim, S. S. Park, J.H. Son, Y.-S. Choi, et al. |
| Type | Date | Detail |
|---|---|---|
THESIS |
2025.12 | Inter-Dialog Contrastive Learning for Multimodal Emotion Recognition in Conversations D.-H. Lee — M.S. Thesis, Kwangwoon University |
PATENT |
2025.09 | 생리학적 혈류 방향 기반 시공간 특징맵과 교차 주의 집중을 이용한 비접촉 원격 심박수 추정 시스템 Y.-S. Choi, D.-H. Lee — Application No. 10-2025-0123545 |
| Period | Position |
|---|---|
2026.04 PRESENT |
AI Researcher — Medical AI Co., Ltd. AI Group, R&D Dept. ECG foundation models · multi-label disease classification · representation learning |
| 2024.03 2026.02 |
Graduate Researcher — Kwangwoon Univ. NeuroAI Lab. Advisor: Prof. Young-Seok Choi Multimodal emotion recognition · remote physiological sensing (rPPG) |
| Degree | Field | Institution |
|---|---|---|
M.S. |
Electronics and Communication Engineering Advisor: Prof. Young-Seok Choi |
Kwangwoon University |
B.S. |
Computer Software Engineering | Hansung University |
B.S. |
IT Convergence Engineering | Hansung University |
| Date | Milestone | |
|---|---|---|
| 2026.04 | Joined Medical AI Co., Ltd. as an AI Researcher diving into ECG deep learning |
|
| 2026.03 | ORAL |
ICASSP 2026 paper selected for oral presentation see you in Barcelona |
| 2026.02 | Graduated from NeuroAI Lab., Kwangwoon University | |
| 2026.01 | Inter-Dialog Contrastive Learning accepted to ICASSP 2026 | |
| 2025.09 | PATENT |
Patent filed — rPPG with blood-flow-direction-aware ST maps |
| 2024.05 | AWARD |
Best Poster Award, KOSOMBE 2024 |
| 2024.03 | Joined NeuroAI Lab., Kwangwoon University |
| Category | Stack |
|---|---|
| Languages | Python C LaTeX |
| DL Frameworks | PyTorch TensorFlow scikit-learn |
| Data & Vision | NumPy Pandas OpenCV |
| MLOps & Infra | Ray MLflow Jupyter |
| Environment | Ubuntu Windows Git VS Code MySQL |
┌─ END OF RECORD ────────────────────────────────────────────┐
│ Open to research collaboration │
│ ECG AI · Biosignal Processing · Clinical Deep Learning │
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