WANG JIAN

 

Associate Researcher

Phone: 

Email: jianwang@hust.edu.cn

Academic Areas:3D Machine Vision, Multi-sensor Distributive Measurement, Surface Topography Sampling, Modelling and Characterisation


Jian Wang, PhD, Associated Research Scientist of Huazhong University of Science and Technology. His research focuses include precision inspection with 3D vision and multi-sensor data fusion. He obtained his BEng from University of Science and Technology of China in 2008, and his PhD from University of Huddersfield, UK in 2013. He work for National Physical Laboratory of UK and the EPSRC CIMAN (Centre for Innovative Manufacturing in Advanced Metrology) of Huddersfield during 2013 to 2015. He work for Huazhong University of Science and Technology Since July 2015. He is hosting and participating 2 projects of Natural National Science Foundation of China, and 1 key grant project of Natural Science Foundation of Hubei Province. He has published over 20 papers/reports in International journals including Precis. Eng., Appl. Surf. Sci. and Tribol. Int. One of his paper was highlighted by Meas. Sci. Technol. He is a peer-reviewer of Precis. Eng. and Surf. Topogr. Metrol. Prop. He is also a member of National High-Education Research Committee for Interchangeability and Measurement Techniques of China, and an IET member.

Academic Degrees

2004.09 - 2008.07 China/University of Science and Technology of China BEng

2008.10 - 2013.02 UK/University of Huddersfield PhD

Professional Experience

2013.08 - 2014.02, UK/National Physical Laboratory, visiting scholar.

2014.03 - 2015.07, UK/University of Huddersfield, research fellow.

Selected Publications

2018:    

1.  Jian Wang, Rong Su, Richard Leach, Wenlong Lu*, Liping Zhou, Xiang Jane Jiang, Resolution enhancement for topography measurement of high-dynamic-range surfaces via image fusion, Optics Express, 2018 (under review)

2.  Jian Wang, Minmin Li, Wenlong Lu, Beier Lu, Pingping Xiao, Yuqi Wang, A feature-clustering-based three-dimensional registration algorithm for structured surface measurement," Surf. Topogr. Metrol. Prop. 2018, 6 (under review)

3.  Chao Zhang, Liping Zhou, Long Xu, Jian Wang*, A new method for integration of registered multi-view point clouds, 2018 (under review)

4.  Jian Wang, Luca Pagani, Liping Zhou, Xiaojun Liu, Wenlong Lu*, Richard K Leach, and Xiangqian Jiang, Uncertainty-guided intelligent sampling strategy for high-efficiency surface measurement via free-knot B-spline regression modelling, Precision Engineering, 2018 (in press) doi: 10.1016/j.precisioneng.2018.09.002

5.  Jian Wang, Xiaohui Luo, Yanhua Sun*, Torsional Fretting Wear Properties of Thermal Oxidation-Treated Ti3SiC2 Coatings, Coatings, 2018, 8(9): 324

6.  Gengpei Zhang, Jian Wang*, Suping Chang, Predicting running-in wear volume with a SVMR-based model under a small amount of training samples, Tribology International, 2018, 128: 349-355

7.  Cheng Chen, Jian Wang, Xiaojun Liu, Wenlong Lu*, Hong Zhu, Xiangqian Jiang, Influence of sample surface height for evaluation of peak extraction algorithms in confocal microscopy, Applied Optics, 2018, 57(22): 6515-6526

8.  Luca Pagani*, Qunfen Qi, Jian Wang, Xiangqian Jiang, Paul Scott, An adaptive tolerancing algorithm for freeform profiles, Procedia CIRP, 2018, 75: 185-189

9.  Wenzheng Zhai, Wenlong Lu*, Po Zhang, Jian Wang, Xiaojun Liu, Liping Zhou, Wear-triggered self-healing behavior on the surface of nanocrystalline nickel aluminium bronze/Ti 3 SiC 2 composites, Applied Surface Science, 2018, 436: 1038-1049

10.Po Zhang, Xiaojun Liu, Wenlong Lu*, Wenzheng Zhai, Mingzhuo Zhou, Jian Wang, Fretting wear behavior of CuNiAl against 42CrMo4 under different lubrication conditions, Tribology International, 2017, 117: 59-67  


2017

1. Jian Wang*, Luca Pagani, Richard Leach, Wenhan Zeng, Bianca Colosimo, Liping Zhou, Study of Weighted Fusion Methods for the Measurement of Surface Geometry, Precision Engineering, 2017, 47: 111-121 (A, SCI)

2.  Chao Zhang, Liping Zhou, Long Xu, Jian Wang* 2017 A new method for integration of registered multi-view point clouds. Presented in 13th International Symposium on Measurement Technology and Intelligent Instruments (ISMTII) 338 (Xi’an, 22-25 Sept)  


2016 before:

1.  Jian Wang*, Richard Leach, Xiangqian Jiang, Review of the Mathematical Foundations of Data Fusion Techniques in Surface Metrology, Surf. Topogr.: Metro. Prop, 2015, 3: 023001 (B, SCI)

2.  Jian Wang, Xiangqian Jiang*, Liam Blunt, Richard Leach, Paul Scott, Intelligent Sampling for The Measurement of Structured Surfaces, Meas. Sci. Technol., 2012, 23: 285006 (A, SCI)

3.  Yuan Tian#*, Jian Wang #, Zhongxiao Peng, Xiangqian Jiang, A new approach to numerical characterisation of wear particle surfaces in three-dimensions for wear study, Wear, 2012, 282: 59-68 (A, SCI)

4. Jian Wang, Xiangqian Jiang*, Elzbieta Gurdak, Paul Scott, Richard Leach, Paul Tomlins, Liam Blunt, Numerical Characterization of Biomedical Titanium Surface Texture Using Novel Feature Parameters, Wear, 2011, 1059: 65 (A, SCI)

5.  Yuan Tian*, Jian Wang, Zhongxiao Peng, Xiangqian Jiang, Numerical analysis of cartilage surfaces for osteoarthritis diagnosis using field and feature parameters, Wear, 2011, 271(9-10): 2370-2378 (A, SCI)

6.  Meiling Wang*, Zhongxiao Peng, Jian Wang, Xiangqian Jiang, Wear characterisation of cartilage surfaces at a nano-scale using atomic force microscopy, Tribology International, 2013, 63: 235-242 (A, SCI)

7.  Wang J, Jiang X*, Blunt L A, Leach R K, Scott P J 2012 A boundary segmentation algorithm for extracting micro-scale dimensional parameters in the measurement of structured surfaces Proceedings of the 12th International Conference of EUSPEN 1 113-6 (Stockholm, 4 – 7 June)

8. Jian Wang, Xiangqian Jiang*, Liam A Blunt, Richard K Leach, Paul J Scott, 2011 Efficiency of adaptive sampling in surface texture measurement for structured surfaces, 13th International Conference on Metrology and Properties of Engineering Surfaces (Twickenham, 12 – 15 April)

9.  Jian Wang, Xiangqian Jiang, Richard K Leach, 2014, NPL report ENG 54–Review of data fusion for surface topography measurement, Teddington

10.Jian Wang, Xiangqian Jiang, Richard K Leach, 2014, NPL report ENG 55–Advances of sampling techniques in surface topography measurement–a review, Teddington


Courses Taught

Foundations of  Computer and  Programme Design (C++)

Interchangeability and Technical Measurement


Centers/Programs

1.   2018-2020, National Natural Science Foundation (No. 51705178), “Research of Gaussian process metamodel-based intelligent sampling and reconstruction methods for 3D high-dynamic-range surface”, 220k RMB

2.   2017-2018, State Key Laboratory of Digital Manufacturing Equipment and Technology Innovation project “Complex surface quality evaluation-oriented modeling with Gaussian processes”, 200k RMB