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

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A Global Leading Computational Physiology Research Group for Respiratory System

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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

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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 연구원을 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, 통계학, 전자공학, 수학, 컴퓨터공학 등 다양한 전공자들을 환영합니다.

  • 문의: 053-950-5578 (s-choi@knu.ac.kr)

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