Recently, both thermofluids engineering and artificial intelligence (AI) have been sufficiently progressed due to advances in experimental measurements, algorithm development and computational capability. In this speech an overview of heat transfer and thermofluids using AI across the world and especially in speaker’s group is provided. Different from pure AI science and technology, specific problems and solutions from speaker’s group in AI-assist heat transfer and fluid dynamics areas are identified and offered. The integration between thermofluids and AI will boost and probably transform current lines of thermofluids research and industrial applications.

Assistant Professor Ji-Xiang Wang graduated from Beihang University, China in 2019 with a PhD in Man-machine and Environmental Engineering. He once worked as a researcher in University of Illinois at Urbana-Champaign and The Hong Kong University of Science and Technology. In the international community, he serves as an editorial member for Physics of Fluids. His research focuses on aerospace-oriented heat/mass transfer and fluid mechanics, renewable energy applications, complex thermofluids modelling etc. As a young scientist, he has published 20+ articles in world-prestigious journals as first/corresponding author. As a principal investigator, he led/participated multiple national and enterprise grants. He won Innovation Award from Ministry of Industry and Information Technology of the People’s Republic of China.