EDUCATION

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9/2016 – Present         Ph.D. student, University of Lincoln, UK

9/2013 – 6/2016          Master, China University of Geosciences (Beijing), China

9/2009 – 6/2013         Bachelor, China University of Geosciences (Beijing)

AWARDS AND HONORS

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†  Best Paper Award, 3^rd INISCOM Conference, 2017, Vietnam                   09/2017

†  PhD Student Scholarship, University of Lincoln, UK                                  06/2016

†  CNPC (China National Petroleum Corporation) Scholarship, CUGB       10/2015

†  Outstanding Graduates Awards of Beijing City, Beijing City                      05/2013

†  Outstanding Graduates Awards of University, CUGB                                  05/2013

PUBLICATIONS/POSTERS

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1.        N. Su, X. Li, Q. Zhang, Z. Huo. Composite Fault Diagnosis for Rotating Machinery of Large Units Based on Evidence Theory and Multi-information Fusion (Accepted). Shock and Vibration, 2019.

2.         Z. Huo, Y. Zhang, L. Shu, M. Gallimore. A New Bearing Fault Diagnosis Method based on Fine-to-Coarse Multiscale Permutation Entropy, Laplacian Score and SVM. IEEE ACCESS, 2018, 7: 17050 – 17066.

3.         Z. Zhang, A. Mehmood, L. Shu, Z. Huo, Y. Zhang, and M. Mukherjee. A Survey on Fault Diagnosis in Wireless Sensor Networks. IEEE Access, 2018, 6: 11349-11364.

4.        Z. Huo, Y. Zhang, P. Francq, L. Shu, J. Huang. Incipient Fault Diagnosis of Roller Bearing using Optimized Wavelet Transform based Multi-speed Vibration Signatures. IEEE Access, 2017, 5: 19442-19456.

5.         L. Shu, Y. Chen, Z. Huo, N. Bergmann, L. Wang. When Mobile Crowd Sensing Meets Traditional Industry. IEEE Access, 2017.

6.         Z. Huo, Y. Zhang, L. Shu, Y. Lv, Q. Lin. Bearing Fault Diagnosis using Multi-sensor Fusion based on weighted D-S Evidence Theory (Accepted). In proceedings of Mechatronika 2018, December 5–7, 2018, Brno, Czech Republic

7.         Z. Huo, Y. Zhang, L. Shu. Fine-to-Coarse Multiscale Permutation Entropy for Bearing Fault Diagnosis. In Proceedings of IEEE Conference on International Wireless Communications & Mobile Computing Conference (IWCMC 2018), Limassol, Cyprus, June, 25-29, 2018.

8.         Z. Huo, Y. Zhang, L. Shu. A comparative study of WPD and EMD for shaft fault diagnosis. In proceedings of In proceedings of 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017), Oct. 29 – Nov. 2, Beijing, China, 2017.

9.         Z. Huo, Y. Zhang, R. Sath, L. Shu. Self-adaptive fault diagnosis of roller bearings using infrared thermal images. In proceedings of 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017), Oct. 29 – Nov. 2, Beijing, China, 2017.

10.         Z. Huo, Y. Zhang, Z. Zhou, J. Huang. Crack detection in rotating shafts using wavelet analysis, Shannon entropy and multi-class SVM. In proceedings of 3rd EAI International Conference on Industrial Networks and Intelligent Systems (INISCOM 2017), Ho Chi Minh, Vietnam, September 4, 2017.

11.     Z. Huo, Y Zhang, L Shu. A short survey on fault diagnosis of rotating machinery using entropy techniques. In proceedings of 3rd EAI International Conference on Industrial Networks and Intelligent Systems (INISCOM 2017), Ho Chi Minh, Vietnam, September 4,2017.

12.     Z. Huo, M. Mukherjee, L. Shu, Y. Chen, Z. Zhou. Cloud-based Data-intensive Framework towards Fault Diagnosis in Large-scale Petrochemical Plant. In Proceedings of IEEE Conference on International Wireless Communications & Mobile Computing Conference (IWCMC 2016), Sep. 5-9, 2016.

13.     X. Zhang, L. Shu, Z. Huo, M. Mukherjee, and Y. Zhang. A Short Review of Constructing Noise Map using Crowdsensing Technology. In Proceedings of 13th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2017), December 11-13, Edinburgh, Great Britain, 2017.

14.     Z. Huo, L. Shu, Z. Zhou, Y. Chen, K. Li, L. Zeng. Data Collection Middleware for Crowdsourcing-based Industrial Sensing Intelligence. In Proceedings of the ACM International Symposium on Mobile Ad Hoc Networking and Computing (Mobihoc 2015), Hangzhou, China, June, 22-25 2015, 3-8.

15.     L. Shu, J. Zeng, K. Li, Z. Huo, X. L. Wu, X. J. Wu and H. Sun. WIFI-based smart car for toxic gas monitoring in large-scale petrochemical plants. In Proceedings of 2015 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW 2015), Taipei, Taiwan, June, 6-8 2015, 200-201.

16.     L. Shu, K. Li, J. Zeng, X. Li, H. Sun, Z. Huo, and G. Han. Demo abstract: A smart helmet for network level early warning in large scale petrochemical plants. In Proceedings of 14th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 2015), Seattle, USA, April 14-16 2015, 390-391.

17.     L. Shu, Z. Huo, Z. Zhou, K. Li, J. Zeng, and H. Sun. Poster abstract: Using wearable equipment to construct monitoring maps in large-scale petrochemical plants. In Proceedings of 14th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 2015), Seattle, USA, April, 14-16 2015, 332-333.