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Qing Ni: Professor
Research Interests: Large Language Models, Digital Twins, Signal Processing, Prognostics and Health Management
Postal Address: P.O. Box 64, 127 West Youyi Road, Beilin District, Xi'an 710072, Shaanxi, P.R. China
Zip Code: 710072
E-mail: qing.ni@nwpu.edu.cn
Work Experience
| 2025-now | Northwestern Polytechnical University, China | Professor |
| 2023-2025 | University of Technology Sydney, Australia | Postdoctoral Research Fellow |
Representative Papers
Q. Ni, et al., Data-driven prognostic scheme for bearings based on a novel health indicator and gated recurrent unit network. IEEE Transactions on Industrial Informatics, 2023, 19.2, 1301-1311.
Q. Ni, et al., Data-driven bearing health management using a novel multi-scale fused feature and gated recurrent unit. Reliability Engineering & System Safety, 2024, 242, 109753.
Q. Ni, et al., Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics. Mechanical Systems and Signal Processing, 2023, 200, 110544.
Q. Ni, et al., A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis. Mechanical Systems and Signal Processing, 2022, 164, 108216.
Q. Ni, et al., A novel correntropy-based band selection method for the fault diagnosis of bearings under fault-irrelevant impulsive and cyclostationary interferences. Mechanical Systems and Signal Processing, 2021, 153, 107498.
Honors & Awards
World's Top 2% Scientists by Stanford University
Emerging leader by Meas. Sci. Technol.
Academic Service
Associate Editor: IEEE Transactions on Industrial Informatics (JCR Rank-Q1), Neurocomputing (JCR Rank-Q1), Journal of Intelligent Manufacturing (JCR Rank-Q1), IEEE Transactions on Instrumentation and Measurement (JCR Rank-Q1), IEEE Sensors Journal(JCR Rank-Q1).
Editorial Board Member: Engineering Applications of Artificial Intelligence (JCR Rank-Q1), etc.
Youth Editor: Results in Engineering (JCR Rank-Q1), Advances in Manufacturing(JCR Rank-Q2), etc.
Guest Editor: Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture, Measurement Science and Technology, Advances in Mechanical Engineering, etc.
Additional Information
Open to collaborations with MSc/PhD students and Postdocs in Large Language Models (LLMs)-based, Physics-Informed Neural Networks(PINNs)-based, Digital Twins(DTs)-based, or Signal Processing-based machine condition monitoring. Contact: qing.ni@nwpu.edu.cn.