Research Fellow
Phone:
Email: hesongping@mail.hust.edu.cn
Academic Areas: intelligent manufacturing，high-end electronic manufacturing equipment，intelligent assisted medicine
Dr. Songping He is currently a Research Fellow at the School of Mechanical Science and Technology, Huazhong University of Science and Technology. He received his Doctoral degree from Huazhong University of Science and Technology and was a postdoctoral researcher in University of Michigan-Dearborn. His current research interests include intelligent manufacturing, high-end electronic manufacturing equipment and intelligent assisted medicine.
Academic Degrees
1999.9-2003.6 Huazhong University of Science and Technology Bachelor
2003.9-2006.3 Huazhong University of Science and Technology Master
Professional Experience
2006.4-2007.3 Mitsubishi Electronic Control Software Company, Japan
2007.4-2009.3 Hitachi System and Service Company, Japan
2009.4- School of Mechanical Science and Engineering, Huazhong University of Science and Technology
Selected Publications
1. Multi-agent evolution reinforcement learning method for machining parameters optimization based on bootstrap aggregating graph attention network simulated environment, Journal of Manufacturing Systems, 2023, 67: 424-438.
2. A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS, Advanced Engineering Informatics, 2023, 55: 101850.
3. A novel milling parameter optimization method based on improved deep reinforcement learning considering machining cost, Journal of Manufacturing Processes, 2022, 84: 1362-1375.
4、Research on the Modelling and Development of Flexibility in Production System Design Phase Driven by Digital Twins, Applied Sciences, 2022, 12(5): 2537.
5. A novel online chatter detection method in milling process based on multiscale entropy and gradient tree boosting, Mechanical Systems and Signal Processing, 2020, 135: 106385.
6. Bayesian uncertainty quantification and propagation for prediction of milling stability lobe, Mechanical Systems and Signal Processing, 2020, 138: 106532.
7. Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion, IEEE Transactions on Industrial Informatics, 2020, 16(8): 5150-5159.
8. Online chatter detection in milling process based on VMD and multiscale entropy, The International Journal of Advanced Manufacturing Technology, 2020, 105(12): 5009-5022.
Awards and Honors
1. Professor of Industry in Optics Valley
2. Lecturer Teaching Competition of Huazhong University of Science and technology, the second prize
3. Teaching Quality Award of Huazhong University of Science and technology, the second prize
Courses Taught
《Engineering Drawing》
《Design Theory and Methodology》
Centers/Programs
1、Hubei Key R&D Program of China (2020BAB106)
2. National Key R&D Program of China (2018YFB1700500)
