EDUCATION |
The University of New South Wales, Canberra, Australia Ph. D., Mechanical Engineering, March 2017 - February 2021
University of Chinese Academy of Sciences, Beijing, China M.S., Fluid Mechanics, September 2012 - June 2016
Wuhan University of Technology, Wuhan, China B.S., Shipbuilding and Marine Engineering, September 2007 - June 2011
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PUBLICATIONS |
Ma J, Huang Q, Zhu Y, et al. Effects of fluid rheology on dynamics of a capsule through a microchannel constriction[J]. Physics of Fluids, 2023, 35(9). Sun Y, Yan C, Xiang X, Zhou H, Tang D, Zhu Y. Towards end-to-end formation control for robotic fish via deep reinforcement learning with non-expert imitation[J]. Ocean Engineering, 2023, 271:113811. Zhu Y, Pang J H, Gao T, Tian F B. Learning to school in dense configurations with multi-agent deep reinforcement learning[J]. Bioinspiration & Biomimetics, 2022, 18(1): 015003. Zhu Y, Pang J H, Tian F B. Point-to-point navigation of a fish-like swimmer in a vortical flow with deep reinforcement learning[J]. Frontiers in Physics, 2022: 237 Zhu Y, Pang J H. A numerical simulation of target-directed swimming for a three-link bionic fish with deep reinforcement learning[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2022: 09544062221079693. Zhu Y, Pang J H, Tian F B. Stable schooling formations emerge from the combined effect of the active control and passive self-organization[J]. Fluids, 2022, 7(1): 41. Zhu Y, Tian F B, Young J, Liao J C, Lai J C S. A numerical study of fish adaption behaviors in complex environments with a deep reinforcement learning and immersed boundary–lattice Boltzmann method[J]. Scientific Reports, 2021, 11(1): 1-20. Zhu Y, Yu Y L. Thrust-enhancement of an undulating two-dimensional batoid-like model near a flat ground[J]. Journal of University of Chinese Academy of Sciences, 2017, 34(1): 23-31. (In Chinese)
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TALKS |
Study of fish adaption behaviors by deep reinforcement learning and immersed boundary–lattice Boltzmann method. 9th National Congress on Lattice Boltzmann Method and Its Application, 2021. Zhuhai, China. (In Chinese) Study of fish adaption behaviors by deep reinforcement learning and immersed boundary–lattice Boltzmann method. 14th WCCM - 8th ECCOMAS CONGRESS, 2020. Paris, France. (Online) Study of fish self-adapting behaviors using reinforcement learning. 13th WCCM, 2018. New York, USA. Study of fish adaption behavior in Kármán vortex street using reinforcement learning. FSI Workshop in Canberra, 2018. Canberra, Australia. A vortex dynamics analysis on the thrust generation of an undulating foil. The 9th National Conference on Fluid Mechanics, 2016. Nanjing, China. (In Chinese)
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TEACHING ASSISTANT
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Introduction to Fluid Mechanics, Professor Zhi-hui Wang, graduate course, UCAS, 2013. An Asymptotic Approach in Mathematical Physics, Professor Jia-chun Li, graduate course, UCAS, 2013.
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