Wang Jian


Associate Research Fellow



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 in National Physical Laboratory of UK and the EPSRC CIMAN (Centre for Innovative Manufacturing in Advanced Metrology) of Huddersfield during 2013 to 2015. He work in Huazhong University of Science and Technology Since July 2015. He is hosting and participating 3 projects of Natural National Science Foundation of China, and 1 key grant project of Natural Science Foundation of Hubei Province. He has published over 30 papers/reports in International journals including Opt. Express, Precis. Eng., Appl. Surf. Sci. and Tribol. Int. One of his paper was recognised as an Annual Highlight of Meas. Sci. Technol. He is also a member of IEEE and IET, and National High-Education Research Committee for Interchangeability and Measurement Techniques of China.

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



[1] Jian Wang, Renqi Zou, Bianca Maria Colosimo, Wenlong Lu*, Long Xu and Xiangqian Jane Jiang, Characterisation of freeform, structured surfaces in T‐spline spaces and its applications, Surface Topography: Metrology and Properties, 2021 (in press).


[1] Jian Wang, Yu Lu, Lei Ye*, Rong Chen, Richard Leach, Efficient analysis-suitable T-spline fitting for freeform surface reconstruction and intelligent sampling, Precision Engineering, 2020, 66, 417-428.

[2] Jian Wang, Richard Leach, Rong Chen, Jiang Xu*, Xiangqian Jiang, Distortion-free intelligent sampling of sparse surfaces via locally refined T-spline metamodelling, International Journal of Precision Engineering and Manufacturing–Green Technology, 2020, doi: 10.1007/s40684-020-00248-w

[3] Qin, H.; Xu, R.; Lan, P.; Wang, J.; Lu, W. Wear Performance of Metal Materials Fabricated by Powder Bed Fusion: A Literature Review. Metals, 2020, 10, 304.

[4] Xin Chen, Wenzheng Zhai, Song Dong, Kan Zheng, Runzhou Xu, Jian Wang, Xiaojun Liu, Wenlong Lu, Investigations on torsional fretting wear properties of CuAlNi processed by ultrasonic vibration-assisted milling, Tribology International, 2020, 146: 106238.


[1] Wenlong Lu, Cheng Chen, Hong Zhu, Jian Wang*, Richard Leach, Xiaojun, Jie Wang and Xiangqian Jiang, Fast and accurate mean-shift vector based wavelength extraction for chromatic confocal microscopy, Measurement Science & Technology, 2019, 30: 115104.

[2] Wenlong Lu, Luca Pagani, Liping Zhou, Xiaojun Liu, Jian Wang*, 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, 2019, 56: 38-52.

[3] Po Zhang and Jian Wang*, Torsional Fretting Wear Behavior of PVD TiCN Coated CuNiAl Blade Bearing in Oil and Artificial Seawater, Coatings, 2019, 9(2), 140.

[4] Cheng Chen, Jian Wang, Chi Zhang, Wenlong Lu, Xiaojun Liu, Zili Lei, Wenjun Yang, and Xiangqian Jiang, Influence of optical aberrations on the peak extraction in confocal microscopy, Optics Communications, 2019, 449:24-32.

[5] Wenlong Lu, Cheng Chen, Jian Wang, Richard Leach, Chi Zhang, Xiaojun Liu, Zili Lei, Wenjun Yang, and Xiangqian Jiang, Characterization of the displacement response in chromatic confocal microscopy with a hybrid radial basis function network, Optics Express, 2019, 27(16): 22737-22752.

[6] Luca Pagani, Jian Wang, Bianca Colosimo, Xiangqian Jiang, Paul Scott, Fast hierarchical fusion model based on least squares B-splines approximation, Precision Engineering, 2019, 60: 570-586.

[7] Cheng Chen, Jian Wang, Richard Leach, Wenlong Lu, Xiaojun Liu, Xiangqian Jiang, Corrected parabolic fitting for height extraction in confocal microscopy, Opt. Express, 2019, 27(3), 3682-3697.

[8] Cheng Chen, Wenjun Yang, Jian Wang, Wenlong Lu, Xiaojun Liu, Xiangqian Jiang, Accurate and efficient height extraction in chromatic confocal microscopy using corrected fitting of the differential signal, Precision Engineering, 2019, 56: 447-454.

[9] Wenlong Lu, Po Zhang, Wenzheng Zhai, Jian Wang, Xiaojun Liu, Xiangqian Jiang, Impact of surface topography on torsional fretting wear of the blade bearing interface under different lubrication conditions, 2019, Surface Topography: Metrology and Properties, 7, 1.


[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, 26(26): 34805

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

[3] 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

[4] 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

[5] 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

[6] 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

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


[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


[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

[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

[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

[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

[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

[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

Courses Taught

Interchangeability and Technical Measurement


1) 2121-2024, National Natural Science Foundation (No. 52075206), “Theoretical and methodological development of ultra-thin film measurement techniques based on polarized angle-resolved spectral analysis”, 580k RMB

2) 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

3) 2017-2018, State Key Laboratory of Digital Manufacturing Equipment and Technology Innovation project “Complex surface quality evaluation-oriented modeling with Gaussian processes”, 200k RMB