Dr Xinhui Ma

Faculty and Department

  • Faculty of Science and Engineering
  • Department of Computer Science and Technology

Qualifications

  • PhD (University of Birmingham)

Summary

Dr Ma's research areas lie in Data Science and Visual Computing. 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

Visualization

C++ Programming

Information Systems and Web Technologies

Advanced Rendering and Virtual Environment

Recent outputs

View more outputs

Journal Article

GANs-based Data Augmentation for Citrus Disease Severity Detection Using Deep Learning

Zeng, Q., Ma, X., Cheng, B., Zhou, E., & Pang, W. (2020). GANs-based Data Augmentation for Citrus Disease Severity Detection Using Deep Learning. IEEE access : practical innovations, open solutions, 8, 172882-172891. https://doi.org/10.1109/access.2020.3025196

A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth

Pinheiro, M., Ma, X., Fagan, M. J., McIntyre, G. T., Lin, P., Sivamurthy, G., & Mossey, P. A. (2019). A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth. Journal of Biological Engineering, 13(1), https://doi.org/10.1186/s13036-019-0171-6

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

Research interests

Digital Healthcare, Medical Image Analysis

Data Science, Machine Learning

Computer Vision, Computer Graphics

Virtual Reality, Augmented Reality

CAD/CAM, Finite Element Analysis

Project

Funder

Grant

Started

Status

Project

3D Analysis of Maxillofacial Growth

Funder

Wellcome Trust

Grant

£98,344.00

Started

1 July 2017

Status

Complete

Postgraduate supervision

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

Awards and prizes

Wellcome Trust Seed Award in Science

2017

Membership/Fellowship of professional body

Fellow of the Higher Education Academy

2013

Other

Research Supervision

2017 - 2019

PostDoc: 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