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경북대학교 기계학습 및 유체역학연구실
Machine Learning and Fluid Mechanics lab.
School of Mechanical Engineering, Kyungpook National Univ.
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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 dynamics, image 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
Mutiphase and Multiphysics Simulations with CFD and AI techniques
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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
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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.
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MLFM 연구실에서는 앞으로 함께 기계학습, 딥러닝, 강화학습, 영상해석, 전산유체역학 분야에서 연구할 학부연구생 및 대학원생을 모집하고 있습니다.
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각종 연구 세미나 및 프로젝트에 참여할 수 있는 기회를 함께할 수 있습니다.
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기계공학, 의공학, 컴퓨터공학, 통계학, 전자공학, 수학 등 다양한 전공자들을 환영합니다.
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문의: 053-950-5578 (s-choi@knu.ac.kr)