Information

✉️ [email protected]

✉️ [email protected]

📍 Seoul , Korea

🌐 www.linkedin.com/in/taehwan-yoon-4418272a7

Language

🇰🇷 Korean

🇬🇧 English

Motto

When light up our daily lives, we can grow and smile through both the present and the past. Then, someday, we will find ourselves closer to the person we envisioned.

Personal Statement

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I am a MSc/PhD joint program student at Soongsil University in Korea. My major are artificial intelligence (AI) , privacy-preserving machine learning (PPML), Healthcare AI (HAI), Federated Learing (FL). I have experiences of bio and medical data analysis and colaboratively AI training system preserving privacy (FL). I am looking foward to get good job or co-work opportunity about AI and PPML. If you have any suggestions for me, please let me know by email. Sincerely, appreciate reading my resume.

</aside>

Interesting Topic

• How do we improve fine-tuning performance under federated learning scenarios using a Bayesian transfered learning approaches.
• How do we mitigate heterogeneity and data diversity and catastrophic forgetting under Federated Learning scenarios.
• In the medical domain, How do we sum up and generate patient chart information using tiny language model trained by patient information including privacy as for preserving the privacy. (Muti-modal Federated Learning scenarios)

Keywords: Federated Learning, Preserving-Privacy Machine Learning, Medical Analysis, Fine-Tuning, Bayesian Transfered Learning, Adaptive Resonance Theory, Tiny Language Model, Text Generation, Multi-Modal.

Experience

AI engineer intership

2022.2~2023.2

Collected optimal coherence tomography (OCT) data at Konkuk University hospital and patients meta information. And developed U-Net based segmentation AI model. Fine-tuning and connceting AI to platform for clinicians.

Distributed Intelligence Lab (DILab)

2023년 3월~continue

Research PPML and Medical AI using FL.

Education

Bachelor, Computer software, Graduated

2017년 3월~2023년 2월

MSc and PhD, Computer science and engineering, Continue

2023년 3월~continue

Publication

Papers

Awards & Scholarships

• (2024) Best Paper Award / ASK conference best paper award- KIPS (Korea Information Processing Society)
• (2025) Winning a Prize / Industry-Academic Challenge- KIAT (Korea)

Patent

• Federated Learning System based on Bayesian Fine-Tuning.
• Federated Learning based on Sub-Network for Global Model Protection.

Conference

conf-list

Grade of Bechelor

전공

창의설계

컴퓨터과학개론

컴퓨터프로그래밍기초

이산수학

네트워크와데이터통신

고급시스템프로그래밍

공학윤리

자료구조

데이터베이스

자바기반응용프로그래밍

정보보호개론

컴퓨터그래픽스

운영체제

소프트웨어공학

알고리즘설계및분석

인공지능

웹시스템설계및개발 1

머신러닝프로그래밍

네트워크프로그래밍

무선및모바일통신

웹시스템설계및개발2

데이터마이닝과통계

종합설계 1

IT창업개론

총 26과목 78 학점

4.3 만점 기준 GPA: 3.57 / 4.30

4.5 만점 기준 GPA: 3.70 / 4.50

Grade of MSc & PhD Joint Program

Skill

역량