Prof. Changyong Chu, Hangzhou Dianzi University,China
Changyong Chu is an Associate Professor and the Executive Dean of the School of Information Engineering and the School of Mechanical Engineering at Hangzhou Dianzi University. Gansu Province, China, he holds a Ph.D. in Mechanical Manufacturing and Automation from Nanyang Technological University, Singapore, which he completed in 2007. His educational journey also includes a Master’s in Mechanical Engineering and a Bachelor’s in Mechatronic Engineering, both from Huazhong University of Science and Technology. Dr. Chu’s research interests encompass intelligent manufacturing, digital twin technology, and Model-Based Systems Engineering (MBSE), with a focus on full lifecycle product design, simulation, and verification. He has held various leadership roles in significant projects, including national and provincial initiatives aimed at advancing manufacturing processes and resource optimization. Additionally, he was a visiting scholar at Concordia University in Canada from 2017 to 2018. Dr. Chu’s contributions to the field are marked by his extensive experience in both academia and research, making him a prominent figure in the realm of manufacturing information systems.
Professional Profile:
Summary of Suitability for Best Researcher Award: Professor Changyong Chu
Research Contributions:
Professor Changyong Chu has a distinguished academic background and extensive research experience, specializing in intelligent manufacturing, digital twin technology, and Model-Based Systems Engineering (MBSE). His work spans multiple complex fields such as manufacturing systems, semantic grids, and lifecycle management, which are highly impactful and relevant to modern industrial practices.
🎓 Educational Background
- 🎓 Ph.D. in Mechanical Manufacturing and Automation, Nanyang Technological University, Singapore (2002.09 – 2007.05)
- 🎓 Master’s in Mechanical Engineering, Huazhong University of Science and Technology (1999.09 – 2002.07)
- 🎓 Bachelor’s in Mechatronic Engineering, Huazhong University of Science and Technology (1995.09 – 1999.07)
💻 Specialization
- Computer-Aided Design (CAD)
- Semantic Grid
- Manufacturing Information Systems
🔬 Research Interests
- 🤖 Intelligent Manufacturing
- 🌐 Digital Twin
- ⚙️ Model-Based Systems Engineering (MBSE)
- 🔄 Full Lifecycle Product Design
- 🛠️ Simulation and Verification
🏅 Academic and Research Experience
- 🇨🇦 Visiting Scholar, Concordia University, Canada (2017.07 – 2018.06)
- 🎯 Project Leader, National Key Laboratory Open Fund (2022.01 – 2023.12): Innovation in Complex Product System Design Methodologies and Tools. Focused on SysML-based multi-domain product model representation and design optimization.
- 🤖 Project Leader, Zhejiang Provincial Project (2022.01 – 2024.12): Smart production line for metallurgical refining in lifecycle management, developing intelligent deburring robots using digital twin technology.
- 🧑🔬 Project Leader, National Natural Science Foundation Youth Project (2011.01 – 2013.12): Semantic-based optimization of manufacturing resource allocation.
- 🔧 Project Leader, Zhejiang Provincial Natural Science Fund (2010.01 – 2012.12): Semantic grid resource optimization in mold manufacturing.
- 🏭 Lead Contributor, Zhejiang Major Science and Technology Project (2007.01 – 2010.12): Collaborative CAD software development for wooden toy design.
Publication top Notes:
Study on Fault Diagnosis of Single-Group Springs of Mining Vibrating Screen
Optimization design and research of ultrasonic flowmeter based on time difference method
Energy absorption, free and forced vibrations of flexoelectric nanocomposite magnetostrictive sandwich nanoplates with single sinusoidal edge on the frictional torsional viscoelastic medium
Energy harvesting and dynamic response of SMA nano conical panels with nanocomposite piezoelectric patch under moving load
Fabrication of Silicon Nanowires by Metal-Assisted Chemical Etching Combined with Micro-Vibration
Bearing Fault Diagnosis Method Based on Deep Learning and Health State Division
Transient dynamic, energy absorption and out-phase/in-phase vibration response of coupled annular/circular SMA nanoplates assuming surface effects on frictional substrates