Please submit your manuscript via Online Submission System: http://www.zmeeting.org/submission/meae2024
please choose Special Session: Artificial Intelligence in Aerodynamics
Jiaqing Kou, Institute of Aerodynamics, RWTH Aachen University, Germany
Dr. Jiaqing Kou is currently an Alexander von Humboldt Postdoctoral Fellow at the Institute of Aerodynamics, RWTH Aachen University. He received his PhD degree in 2022 at the School of Aeronautics, Technical University of Madrid (Universidad Politécnica de Madrid, UPM), and did a short-term postdoctoral research in the same department. During his PhD, he was a Marie-Curie Early Stage Researcher in the project ASIMIA (Advanced High-Order Simulation Methods for Industrial Applications), working as a Development Engineer at NUMECA. He obtained his B. Eng. and M. Eng. degrees in 2015 and 2018 from School of Aeronautics, Northwestern Polytechnical University (NPU). His research interests include data-driven modeling and high-order numerical methods, with applications to unsteady aerodynamics and fluid-structure interaction problems.
Xiaojing Wu, Northwestern Polytechnical University, China
Xiaojing Wu, Associate Professor at school of Civil Aviation, Northwestern Polytechnical University (NPU), supervisor of Master students. From 2008 to 2018, he studied in the School of Aeronautics of NPU. He joined the School of Civil Aviation in July 2020 and has been engaged in research related to comprehensive aerodynamic design and intelligent optimization technologies on application scenarios of new energy aircraft, automobiles, wind energy under the guidance of the "dual carbon" goal. In recent years, he has presided over a number of research projects such as sub projects of the National Key Research and Development Program, National Natural Science Foundation of China, Major Science and Technology Research and Development Projects of China Energy Engineering Group, and General Projects of the China Postdoctoral Science Foundation. He has published more than ten papers and one academic monograph in the top journals in the aerospace field, such as AEROSP SCI TECHNOL、STRUCT MULTIDISCIP O、CHINESE J AERONAUT and so on. He Served as reviewer of AEROSP SCI TECHNOL、STRUCT MULTIDISCIP O and other journals.
In recent years, Artificial Intelligence (AI) becomes an emerging technology that shapes new research paradigm in many disciplines. The integration of AI with theoretical, computational, and experimental investigations unlocks new possibilities for solving cutting-edge aerodynamic problems. It has been shown that artificial intelligence has made significant progresses to enhance modeling, optimization, control, and simulation of different problems in aerodynamics. Despite this fact, AI for aerodynamics is still in its infancy, and the encouraging results achieved up to now are still limited to simple geometries and applications. Remaining challenges exist in model generalization, interpretability, and the extension to realistic flow problems, which require further and more in-depth efforts.
This Special Session focuses on novel techniques and their associated challenges in applying artificial intelligence to aerodynamics.
We invite submissions on various topics, including but not limited to:
• Knowledge discovery (governing equation, scaling law, etc.)
• Theoretical modeling (e.g., turbulence models)
• Reduced-order models
• Numerical methods (AI for CFD)
• Data fusion and multi-fidelity modeling
• Data assimilation based on AI
• Feature extraction (e.g., turbulence and transonic aerodynamics)
• Aerodynamic shape optimization
• Flow control
• Multiphysics problems related to aerodynamics
• Uncertainty quantification related to aerodynamics
We welcome contributions that advance the understanding and application of artificial intelligence in aerodynamics.
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