Qiang Song

School of Engineering

Ph.D.

Professor

Mechanical Design, Manufacturing and Automation

songqiang@cup.edu.cn

Research Areas

[1] Non-destructive testing

[2] Image processing

[3] Machine learning

Career

2023- , Professor, Master Tutor, China University of Petroleum ,Karamay

2020-2023, Associate Professor, Master Tutor, China University of Petroleum ,Karamay

Part of publication

1. Pipe defect detection with remote magnetic inspection and wavelet analysis，Wireless Personal Communications，2017，SCI

2. A new magnetic testing technology based on magnetic gradient tensor theory，Insight，2017，SCI

3. Interacting effect of clustering defects on MFL signals using FEA，Insight，2013，SCI