バイオグラフィー
Nie Liangyi, male, born in 1990, doctoral degree, is now an associate professor of Hubei Polytechnic University and a part-time master's supervisor (07/2023) of China University of Geosciences(Wuhan). He graduated from China University of Geosciences (Wuhan) in June 2021, and went to Germany as a visiting scholar to study for half a year in the University of Duisburg-Essen, published nearly 13 papers included in SCI/EI, applied for and authorized 8 invention patents, and several utility model patents. He chaired one project of the National Natural Science Foundation and participated in three projects as the backbone of research. Presided over 1 Natural Science Foundation of Hubei Province and participated in 1 project; Presided over 1 school-level project, 1 enterprise horizontal project; The total expenditure amounted to 800,000. He is a member of ASME (American Society of Mechanical Engineers), a senior member of Chinese Society of Mechanical Engineering, a senior member of China Academy of Agricultural Machinery, a member of China Society of Automotive Engineering, an expert in the database of Science and Technology experts of Hubei Provincial Department of Science and Technology, and a young editorial member of the Journal of Naval Aviation University. Mechanism and Machine Theory (Top 1 Region, Chinese Academy of Sciences) and other journal reviewers.
研究の興味
Robotics, Parallel robots, Reconfigurable mechanisms
Editor
仕事内容
Associate Professor
Hubei Polytechnic University
School of Mechanical and Electrical Engineering
China
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研究論文
- Lunar-Derived Propellants for Fueling Mars-Bound Spacecraft in Cis-Lunar Space
- The Role of Supplementation in Enhancing Recovery and Endurance among Fitness Trainers
- Trend of SO2 Gas Dry Deposition in Vietnam
- Application of Virtual Reality (VR) in Facility Management Competency-based Training (CBT) in the Era of Industrie 5.0
- Homologous Series of Chemical Compounds in Three-component Systems (Aa+ – Bb+ – Cc–) and (Zn2+ - Ge4+ - P3-) in Generalized Form
- Exploring Upper Limb Kinematics in Limited Vision Conditions: Preliminary Insights from 3D Motion Analysis and IMU Data
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