About Me

I am a Ph.D. Student in School of Mathematics (Computational Science and Engineering), Yonsei University and a member of Computational Methods in Medical Engineering (CMME) Lab. My research focuses on therapeutic ultrasound, computational modeling, and medical AI. I am particularly interested in transcranial focused ultrasound, acoustic wave propagation and aberration correction, numerical simulation, and learning-based methods for therapeutic applications.

Research Interests

Publications

Journals

1. Deep Learning Based Real-Time Phase-Amplitude Correction for Phased Array Transducers in Transcranial Focused Ultrasound
   M Seol, M Seo, M Shin, SS Yoo, and K Yoon
   Journal of Computational Design and Engineering (JCDE), Vol. 13, pp. 95–115, 2026. [Paper]
2. Optimization of Acoustic Lens Design for Transcranial Holographic Ultrasound using an Active Learning-Based Genetic Algorithm
   M Seo^*, H You^*, M Seol, SS Yoo, S Lee, and K Yoon (^*Equal Contribution)
   Journal of Computational Design and Engineering (JCDE), Vol. 13, pp. 1-20, 2026. [Paper]
3. Reconfigurable Liquid-based Acoustic Lens for Depth Control of Focused Ultrasound
   CS Yoo, M Seol, K Yoon, and D Freeman
   Ultrasonography, 2026, Accepted.
4. Deep Learning-Based Denoising of Monte Carlo Simulations for Efficient Laser-Tissue Interaction Modeling
   M Seo, S Cho, M Seol, H Ghafoor, and K Yoon
   Engineering Applications of Artificial Intelligence (EAAI), Under Review.

Conferences

1. Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound
   M Seol, M Seo, S Cho, and K Yoon
   MICCAI workshop on Digital Twin for Healthcare (DT4H), Lecture Notes in Computer Science (LNCS), To appear. [arXiv]
2. tFUSOperator: High-Fidelity Transcranial Focused Ultrasound Digital Twin using Neural Operator-Based Network
   M Seo, H Ghafoor, M Seol, S Cho, and K Yoon
   MICCAI workshop on Digital Twin for Healthcare (DT4H), Lecture Notes in Computer Science (LNCS), To appear. [arXiv]
3. Automatic Patient-Specific Microwave Ablation Planning Using a Physics-Guided Deep Learning Model
   S Cho, M Seo, M Seol, J Park, JH Kwon, and K Yoon
   MICCAI workshop on Digital Twin for Healthcare (DT4H), Lecture Notes in Computer Science (LNCS), To appear. [arXiv]

News

• 2026.09. Presented our paper at the MICCAI 2026 DT4H Workshop and attended the main conference in Strasbourg, France. [Poster]
• 2026.08. Had an oral presentation at 2026 Summer Conference of Society for CDE (Computational Design and Engineering).
• 2026.08. Gave a mentoring lecture, “Finding My Path in Mathematics,” for students at Daeyoung High School in Yeongju, Republic of Korea.
• 2026.07. Our paper "Few-shot Deep Learning for Phase-Amplitude Aberration Correction in Transcranial Focused Ultrasound" has been accepted to the DT4H Workshop at MICCAI 2026.
• 2026.05. Presented a poster at 2026 KSIAM (Korean Society of Industrial and Applied Mathematics) Spring Conference.
• 2026.04. Won the Award of Excellence (1st Prize) at 29th Yonsei CSE Poster Exhibition.
• 2025.12. Had an oral presentation at the 80th Anniversary Conference of KSME (Korean Society of Mechanical Engineers) 2025. [Proceeding]
• 2025.07. Gave a mentoring lecture, “Finding My Path in Mathematics,” for students at Daeyoung High School in Yeongju, Republic of Korea.
• 2025.05. Presented a poster at the 65th Conference of KOSOMBE (Korean Society of Medical & Biological Engineering) 2025.
• 2025.04. Presented a poster at 27th Yonsei CSE Poster Exhibition.

Education

Awards

• 2026.04. Award of Excellence (1st prize), 29th Yonsei CSE Poster Exhibition.

Experiences