We are launching JK-FLOW (Japan-Korea Fluid Mechanics Online Workshop), an online seminar series on a wide range of topics in fluid mechanics. Please check JK-Flow website for participating!

Happy to host Prof. Kai Fukami (Tohoku Univ.) for an invited talk and engaging discussion at Inha University! 

DDFE hosted Prof. Kai Fukami (Tohoku Univ., Generalized Super-Resolution Analysis with Machine Learning of Turbulence), Prof. Heechang Lim (Pusan National Univ., Artificial Intelligence-Driven Patterning and Reconstruction of Turbulent Flow Structures), and Dr. Mario Rüttgers (Planing Urban Wind Turbines by Means of Machine Learning and Computational Fluid Dynamics) for a workshop of AI for fluid dynamics systems (Feb. 13). 

Our group members attended KSME's Scientific Machine Learning Workshop in Seoul, South Korea.

New publication in Physics of Fluids (POF)! We developed a CNN that predicts drag forces on rough surfaces using only topography data through an international collaboration (INHA, KTH (Sweden), and KIT (Germany)). Our model reveals key patterns linked to drag, offering insights into fluid dynamics without needing complex parameters. Check out how we're advancing data-driven drag prediction (Link)!

Exciting news! My first graduate, Heesoo Shin, has just earned his Master’s degree at Inha University! His outstanding accomplishments here are a testament to his hard work and dedication. Now, he’s off to POSTECH for his next academic adventure. Best of luck, Heesoo!

Check Heesoo's achievements at here: Link

Our laboratory, DDFE, recently attended the Emerging Researchers Symposium on Mechanical AI organized by the Korean Society of Mechanical Engineers (KSME). This event brought together a dynamic group of young and promising researchers who are at the forefront of integrating cutting-edge artificial intelligence technologies to tackle the grand challenges in the field of mechanical engineering.

We are delighted to announce that Dr. Mario Rüttgers will be joining our team as a Researcher. He recently received his PhD from RWTH Aachen University in Germany, where he made significant contributions to AI and Fluid Mechanics. His expertise and innovative research approach will undoubtedly enhance our group's capabilities and research endeavors. We look forward to the exciting advancements and collaborations that will arise from his presence!