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Personal profile

Biography

Dr. Ye Lu received his PhD degree in Mechanical Engineering in 2007 from the School of Aerospace, Mechanical and Mechatronic Engineering at the University of Sydney, Australia. He was awarded an Australian Research Council (ARC) Discovery project including an ARC Australian Postdoctoral Fellowship (ARC-APD) in 2008. Currently he is a senior lecturer at the Department of Civil Engineering, Monash University.

Keywords

  • structural health monitoring
  • smart materials and structures
  • Artificial Intelligence

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1998 2019

Detection and assessment of pitting corrosion in rebars using scattering of ultrasonic guided waves

Sriramadasu, R. C., Banerjee, S. & Lu, Y., 1 Jan 2019, In : NDT and E International. 101, p. 53-61 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Fatigue crack detection in pipes with multiple mode nonlinear guided waves

Guan, R., Lu, Y., Wang, K. & Su, Z., Jan 2019, In : Structural Health Monitoring. 18, 1, p. 180-192 13 p.

Research output: Contribution to journalArticleResearchpeer-review

A gradient-based algorithm for trend and outlier prediction in dynamic data streams

Sun, D., Lee, V. CS. & Lu, Y., 8 Feb 2018, Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA 2017): 18 – 20 June 2017 Siem Reap, Cambodia. Zhu, X. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1978-1983 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Artificial neural network based mechanical and electrical property prediction of engineered cementitious composites

Shi, L., Lin, S. T. K., Lu, Y., Ye, L. & Zhang, Y. X., 20 Jun 2018, In : Construction and Building Materials. 174, p. 667-674 8 p.

Research output: Contribution to journalArticleResearchpeer-review

Damage detection in composite structures with high-damping materials using time reversal method

Xiao, H., Shen, Y., Xiao, L., Qu, W. & Lu, Y., 3 Jul 2018, In : Nondestructive Testing and Evaluation. 33, 3, p. 329-345 17 p.

Research output: Contribution to journalArticleResearchpeer-review