Dr. Weikun Li is a Research Assistant Professor at the School of Engineering, Westlake University. He received a B.S. in Computer Science and Technology and Automation (dual majors) from Zhejiang University of Technology in 2014 and a Ph.D. in Control Science and Engineering from Zhejiang University of Technology in 2020. Dr. Weikun Li focuses his research on optimization and intelligent control of bionic robot fish: application of neural network, machine learning, and deep reinforcement learning in intelligent control of bionic robot fish; and evolutionary computation: multi-objective evolutionary algorithm, swarm intelligence algorithm, and data-driven online/offline optimization calculation.
Dr. Kai Sun is a Ph.D. candidate of Electronic Science and Technology at Westlake University in Deep-Sea Technology Research Center (DSTRC). His current research focuses on the intersection of fiber-optic sensing and deep learning. He received a B.E. from Nanjing University of Science and Technology in 2014 in Electrical Engineering and Automation and an M.Sc. from Technical University of Berlin in 2018 in Electrical Engineering and Information. Before his Ph.D. studies, Kai worked for FESTO Didactic in Shanghai and Esslingen. During his masters, he worked as a student assistant in the Leibniz Institute for Astrophysics Potsdam (AIP) and began the research of optical fiber sensing. His research interests lie in the field of bionic robotics.
Dr. Dixia Fan obtained his BS.c. from Shanghai Jiao Tong University, China, in 2013, and then received his MS.c and Ph.D. from MIT, the USA, in 2016 and 2019. He then worked as a postdoctorate associate and then a research scientist at MIT Sea Grant, where he established the intelligent hydrodynamics lab. In 2021, he joined Queen’s University, Canada, as an assistant professor in the department of mechanical and material engineering. In 2022, he joined Westlake University as an assistant professor in charge of the Intelligent and Informational Fluid Mechanics Laboratory. Dr. Dixia Fan focuses his research on the fundamental understanding of fluid–structure interaction phenomena and bio-inspired amphibious robot design, as well as AI application in vortical flow control and sensing.
