"MLFM Laboratory explores interdisciplinary research topics to understand fundamental flow physics and respiratory physiology, using advanced computational methods such as computational fluid dynamics, image processing, and artificial intelligence techniques."

A Global Leading Computational Physiology Research Group for Respiratory System

Deep Learning with CT images

Disease progression modeling

Physics-informed neural network

Exploration of lung physiology

CFD simulations with particle tracking

1D Physiology lung airflow modeling

3D Breathing lung airflow simulation

Efficient biological computational modeling

Mutiphase and Multiphysics Simulations with CFD and AI techniques

OpenFOAM-based Industrial CFD modeling

Multiphase flow simulations

Steam-induced water hammering

ANSYS-based Industrial CFD modeling

Peltier Heat Exchanger

Ventilation System in Engine Room

AI-based CFD surrogate modeling

Reinforcement-based optimization

We are looking for research assistants: Graduate (M.S. or Ph.D.) and Undergraduate students

Students who major in other areas, e.g., biomedical, statistics, mathematics, electrical and computer science are encouraged to apply. If you are interested in, please email your CV or Resume at s-choi@knu.ac.kr

함께할 대학원생 및 학부연구생을 모집합니다.

MLFM 연구실에서는 앞으로 함께 기계학습, 딥러닝, 강화학습, 영상해석, 전산유체역학 분야에서 연구할 학부연구생 및 대학원생을 모집하고 있습니다.
각종 연구 세미나 및 프로젝트에 참여할 수 있는 기회를 함께할 수 있습니다.
기계공학, 의공학, 컴퓨터공학, 통계학, 전자공학, 수학 등 다양한 전공자들을 환영합니다.
문의: 053-950-5578 (s-choi@knu.ac.kr)