Staff Profile

I am a lecturer in Computer Graphics and Computer Vision with a focus on image processing using Deep Learning.

Brief CV

2021 - Present: Lecturer in Visual Computing, the School of Computing, Newcastle University, UK. 

Education

PhD in recognition of a thesis entitled "Accurate Real-Time Complex Cutting in Finite Element Modeling", Newcastle University, UK. 

University Administrative Role

Degree Programme Director for MSc Data Analytics Degree Apprenticeship

Athena SWAN SAT Chair of the School of Computing

External Activities

BBSRC Peer Reviewer

External Examiner for the MSc Artificial Intelligence programme of the University of Essex. 

Research Summary

My research background is originally in Computer Graphics, with specific interests in optimising the FEM (Finite Element Method) based systems of linear equations using matrices to achieve challenging accurate cutting of surfaces in real-time.

My current research interest is in the way in which Machine Learning, especially Deep Learning techniques, can be used to expand the application range of Computer Graphics and boost the solving speed of large-scale datasets. Specifically, practical applications of interest lie in Medical Imaging Processing, Remote Sensing Image Processing and Geometric Deep Learning.

• CSC8644 Practical Machine Learning for Data Analytics (10 credits)
• CSC8637 Deep Learning (10 credits)
• CSC8409 Capstone Project for Data Analytics Degree Apprenticeship (60 credits)

• Articles

  • Zhu Y, Wang S, Xin T, Zhang Z, Zhang H. Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation. IEEE Transactions on Instrumentation and Measurement 2024, 73, 5016312.
  • Cheng Z, Wang S, Xin T, Zhou T, Zhang H, Shao L. Few-Shot Medical Image Segmentation via Generating Multiple Representative Descriptors. IEEE Transactions on Medical Imaging 2024, epub ahead of print.
  • Akbulut O, McLaughlin L, Xin T, Forshaw M, Holliman NS. Visualizing ordered bivariate data on node-link diagrams. Visual Informatics 2023, 7(3), 22-36.
  • Wang Z, Xin T, Wang S, Zhang H. Depth-embedded instance segmentation network for urban scene parsing. Journal of Intelligent and Fuzzy Systems 2022, 42(3), 1269-1279.

• Book Chapter

  • Cuff JP, Deivarajan Suresh M, Dopson MEG, Hawthorne BSJ, Howells T, Kitson JJN, Miller KA, Xin T, Evans DM. A roadmap for biomonitoring in the 21st century: merging methods into metrics via ecological networks. In: David A. Bohan, Alex J. Dumbrell, ed. Advances in Ecological Research. Elsevier, 2023.

• Conference Proceedings (inc. Abstract)

  • Zhu Y, Wang S, Xin T, Zhang H. Few-shot Medical image segmentation via a region-enhanced prototypical transformer. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. 2024, Marrakesh, Morocco: Springer.