Zheng Zhu graduated from Harbin Institute of Technology in 1999 with a bachelor's degree in electromechanical control and automation, and graduated from Harbin Institute of Technology in 2007 with a master's degree in instrumentation science and technology.
In 2014, he graduated from Harbin Institute of Technology with a PhD degree in Instrument Science and Technology.
He has worked at the Postdoctoral Station of Materials Science of Harbin Institute of Technology, Heilongjiang Industrial Technology Research Institute and Leju (Shenzhen) Robot Technology Co.
He has participated in overcoming "Industrial frequency aberration communication" technology in Canada, "Critical refraction longitudinal wave measurement of residual stress on material surface" technology in Ukraine, "UHF (Ultra High Frequency) detection of local discharge signal in GIS equipment" technology in Russia, and "863 intelligent drilling technology". (UHF) detection for GIS equipment" in Russia, "Smart Drill Pipe Project (863)" in USA, "Awareness (anesthesia) multi-parameter monitoring" in Spain.
His research areas include mechatronic system design, modern signal processing, automated testing and control. He has participated in several national, provincial and municipal research projects and has obtained more than 10 patents, including 6 invention patents; he has published more than 10 papers, including 6 SCI and 6 EI papers.
Research Area：
Mechatronics system design and control: construction of mechatronics systems such as signal measurement systems and bipedal robots
Modern Signal Processing: acquisition and processing of signals such as ultrasound, optoelectronics and electromyography
Automation test and control: robot data acquisition and control algorithm
Work Experience：
◆ Oct. 2021-present，
Southern University of Science and Technology,
RAP, Department of Mechanical and Energy Engineering
◆ Oct. 2017-Oct. 2021
Leju (Shenzhen) Robot Technology Co., Ltd., technical director.
◆ Jan. 2016-Oct. 2017
Heilongjiang Industrial Technology Research Institute, researcher.
◆ Jun. 2014-Jan. 2016
School of Materials Science and Engineering, Harbin Institute of Technology, postdoctoral researcher.
◆ Jul. 1999-May. 2005
Heilongjiang Aoli Information Industry Development Co., Ltd., director of the main station development room.
Education:
◆Jan. 2014, Ph.D., Harbin Institute of Technology, Instrument science and technology, China
◆Jun. 2007, M.S., Harbin Institute of Technology, Instrument science and technology, China
◆Jun. 1999 B.S., Harbin Institute of Technology, Electromechanical Control and Automation, China
Representative Books and Papers:
◆ Leng XiaoKun, Piao Songhao, Chang Lin, Wang Song, Zhu Zheng. Parameter design of biped robot motion system based on multi-objective optimization [J]. Journal of Intelligent & Fuzzy Systems, 2021: 1-12.
◆ Chang Lin, Piao Songhao, Leng Xiaokun, He Zhicheng, Zhu Zheng. Inverted pendulum model for turn-planning for biped robot[J]. Physical Communication,2020(42):1-7.
◆ Leng XiaoKun, Piao Songhao, Chang Lin, He Zhicheng, Zhu Zheng. Dynamic running hexapod robot based on high-performance computing[J]. The Journal of Supercomputing, 2020, 76(2): 844-857.
◆ Leng XiaoKun, Piao Songhao, Chang Lin, He Zhicheng, Zhu Zheng. Universal walking control framework of biped robot based on dynamic model and quadratic programming[J]. Theory and Applications of Com-
plex Cyber-Physical Interactions.
◆ Leng XiaoKun, Piao Songhao, Chang Lin, Wang Song, Zhu Zheng. An improved method for odometry estimation based on EKF and Temporal Convolutional Network[J]. Physical Communication, 2020, 45: 101178.
◆ Zhu Zheng, Liu Chongyang, Liu Dan, Sun Jinwei. SOC Estimation of LiFePO4 Battery based on Improved Ah Integral Method [J]. Indonesian Journal of Electrical Engineering, 2013, 11: 7058-7064.
◆ Zhu Zheng, Liu Dan, Rong Yongbing, Sun Jinwei. SOC EKF Estimation Based on a Second-order LiFePO4 Battery Model [J]. TELKOMNIKA Indonesian Journal of Electrical Engineering, 2013, 11(8): 4208-4213.
◆ Zhu Zheng, Sun Jinwei, Liu Dan. Online state of charge EKF estimation for LiFePO4 battery management systems; proceedings of the 2012 International Symposium on Intelligent Signal Processing and Communications Systems, F 4-7 Nov. 2012[C].
◆ Zhu Zheng, Liu Dan, Wei Guo, Sun Jinwei. Extended Kalman Filtering State of Charge Estimation for LiFePO4 Battery based on a Second-order Battery Model. The 13th Annual Joint Workshop on Control and Power Electronics Technology, 2012:65-68.
ZhengZhu
Research direction:Mechatronics system design and control; Modern Signal Processing; Automation test and control
Postbox:zhuz@sustech.edu.cn
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