
News
February 15, 2022: We welcome three visiting students to lab: Mr. Jiaqi Xue, Mr. Muyang Li, Mr. Dehan Yuan.
February 01, 2022: We welcome four Ph.D. candidates to lab: Ms. Xinye Guan, Mr. Guangmin Dai, Mr. Wanfu Zheng, Mr. Yunpeng Zhu.
January 15, 2022: We welcome Mr. Masoud Yazdimamaghani to lab as a research engineer.
January 01, 2022: Dixia joins Westlake University as an Assistant Professor in charge of the i4-FSI Lab.
October 10, 2021: Dixia serves as guest editor for a special issue "Artificial Intelligence in Fluid Mechanics" in Journal Physics of Fluids. Link.
September 01, 2021: Dr. Shuo Li has joined the lab as a Postdoc researcher.
September 01, 2021: Zhipeng Wang has joined the lab as a Ph.D. candidate.
September 01, 2021: The new IBiM Website is online. Link.
February 01, 2021: Intelligent and Bio-inspired Mechanics Seminar has quickly gained interest in the fluid mechanics research group around world, and it is reported in the Queen's University News. Link.
December 04, 2020: Dixia was invited to give a talk at Navy Surface Warfare Center, Carderrock Division, entitled "Efficient Experimentation in the Intelligent Towing Tank and Reinforcement Learning for Active Flow Control".
December 01, 2020: Dixia joined Ingenuity Labs as one of the faculty members.
November 20, 2020: Dixia was invited to give a talk at Ingenuity Labs, entitled "Automated Science and Intelligent Bio-Inspired Design for Next-Gen Marine and Aerospace Fluid Applications".
November 16, 2020: The annual DigiMaR Consortium progress meeting was held virtually this year. Together with Dr. Sam Rudy, Dixia gave a talk on "Physics Informed Intelligent Hydrodynamic Database Construction".
November 02, 2020: Dixia was invited to give a talk at MIT Undergraduate Ocean Exploration event. The talk was entitled "Learning from nature, from swimming fish to flying bird".
October 05, 2020: The paper coauthored by Dixia was published online in Proceedings of National Academy of Science, entitled "Reinforcement learning for bluff body active flow control in experiments and simulations". LINK, PDF