Dong Wang
Personal Information
- KeywordsVibration Fault DiagnosisLithium Battery Health ManagementDeep LearningMechanical System Reliability
- OrganizationShanghai Jiao Tong University
- Education (Institution)City University of Hong Kong
- EmailNot provided
Social Media & Links
- Google Scholar
- Personal Website: Not provided
- Wikipedia: Not provided
Biography
Dong Wang is an Associate Professor in the Department of Industrial Engineering at Shanghai Jiao Tong University. His primary research areas include vibration fault diagnosis of mechanical systems, lithium battery health management and lifetime prediction, as well as the application of deep learning in industrial reliability. He holds a PhD from City University of Hong Kong and has published numerous high-impact papers in leading international journals and conferences. His research includes lithium battery state estimation using a CNN-LSTM network and a transfer learning framework for cross-machine rolling bearing lifetime prediction. He has been awarded the Chinese "National Distinguished Expert" Youth Program and the Hong Kong PhD Fellowship.
Work Experience
- 2019–Present·Shanghai Jiao Tong University·Associate Professor
- Main research focuses on mechanical system reliability and vibration fault diagnosis, with a specialization in lithium battery health management and lifetime prediction.
- 2012-2015·City University of Hong Kong·Researcher
- Conducted PhD research on the relationship between battery health indicators and capacity degradation models.
Education
- 2012-2015·City University of Hong Kong·PhD
- Specialized in Mechanical Engineering, with research on lithium battery health management and related model development.
- Bachelor's and Master's Degrees | Not provided
- Detailed educational background not disclosed.
This biography was generated by AI from publicly available information and may contain delays or inaccuracies.
Recent Publications
Latest papers from Dong Wang