Xinhui Ma

Faculty and Department

  • Faculty of Science and Engineering
  • School of Engineering and Computer Science

Qualifications

  • PhD (University of Birmingham)

Summary

Dr Ma's research areas lie in Visual Computing and Big Data Analysis. Particularly interested in Image Analysis, Computer Vision, Virtual Reality, Augmented Reality, Computer Graphics; Data Mining, Machine Learning.

His expertise has applications in Digital Healthcare, Digital Environment and Advanced Manufacturing. Dr Ma is a holder of Wellcome Trust Seed Award.

Undergraduate

Teaching Modules:

Reality Time Graphics

3D Computer Graphics

C++ Programming

Visualization

Advanced Rendering and Virtual Environment

Journal Article

Towards additive manufacturing oriented geometric modeling using implicit functions

Li, Q., Hong, Q., Qi, Q., Ma, X., Han, X., & Tian, J. (2018). Towards additive manufacturing oriented geometric modeling using implicit functions. Visual Computing for Industry, Biomedicine, and Art, 1(1), https://doi.org/10.1186/s42492-018-0009-y

Surface fitting for quasi scattered data from coordinate measuring systems

Mao, Q., Liu, S., Wang, S., & Ma, X. (2018). Surface fitting for quasi scattered data from coordinate measuring systems. Sensors, 18(1), 214. https://doi.org/10.3390/s18010214

T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM

Han, Z., Wang, Y., Ma, X., Liu, S., Zhang, X., & Zhang, G. (2017). T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM. Applied Sciences, 7(10), 1092. https://doi.org/10.3390/app7101092

Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate

Ma, X., Martin, C., McIntyre, G., Lin, P., & Mossey, P. (2017). Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate. Cleft Palate-Craniofacial Journal, 54(4), (481-486). doi:10.1597/15-340. ISSN 1055-6656

The validity and reliability of an automated method of scoring dental arch relationships in unilateral cleft lip and palate using the modified Huddart-Bodenham scoring system

Martin, C. B., Ma, X., McIntyre, G. T., Wang, W., Lin, P., Chalmers, E. V., & Mossey, P. A. (2016). The validity and reliability of an automated method of scoring dental arch relationships in unilateral cleft lip and palate using the modified Huddart-Bodenham scoring system. European Journal of Orthodontics, 38(4), 353-358. https://doi.org/10.1093/ejo/cjw031

Research interests

Digital Healthcare, Medical Image Analysis

Virtual Reality, Augmented Reality

Big Data Analysis, Machine Learning

CAD/CAM, Finite Element Analysis

Computer Graphics, Computer Vision

Postgraduate supervision

Dr Ma welcomes applications in Virtual Reality, Augmented Reality, Computer Vision, Medical Image Analysis, Big Data Analysis and Machine Learning etc.

Current supervisions

- Postdoc: Dr Manuel Pinheiro

- Visiting Researcher: Dr Qingmao Zeng

Awards and prizes

Wellcome Trust Seed Award in Science

2017

Journal peer reviewer

Peer reviewer for Computer Aided Design

2015

Membership/Fellowship of professional body

Fellow of the Higher Education Academy

2013

Other

Research Supervision

2017 - 2019

PDRA: Dr Manuel Pinheiro, Wellcome Trust project “3D analysis of maxillofacial growth in patients with cleft lip and palate”, 09/2017 – 02/2019. Visiting Researcher: Dr Qingmao Zeng, China Scholarship Council project “Deep learning for plant disease detection”, 08/2018 – 08/2019.

Research assessment service

EPSRC peer reviewer

2018