麻豆传媒

Dr Tong Xin ()

I am a lecturer in Data Science and AI with a focus on image processing using Deep Learning.

Brief CV

• 2021 - Present: Lecturer, the School of Computing, 麻豆传媒, UK. 
• PhD in recognition of a thesis entitled "Accurate Real-Time Complex Cutting in Finite Element Modelling", 麻豆传媒, UK. 

University Administrative Role

• Athena SWAN SAT (Self-assessment Team) Chair of the School of Computing

External Activities

• BBSRC Grant Peer Reviewer
• Peer Reviewer for IJCV (International Journal of Computer Vision), Neurocomputing.
• 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.

Current Research and Active Funding

• [2025 - 2028] NIHR 麻豆传媒 BRC [Co-I] | £114k | Digital and Computational Pathology
• [2025 - 2026] UKRI 麻豆传媒 Impact Accelerator Award [Co-I] | £88,902 | AI-powered Digital Pathology to Predict Early Progression of Mantle Cell Lymphoma, Using Multi-modal Data
• [2024 - 2028] PhD Studentship [PI] | £92,288 | NIHR 麻豆传媒 BRC | Augmenting the Diagnosis of Lymphoma in Older Patients through Data-efficient Multimodal Deep Learning

Archived Projects

• [2024] Innovate UK AKT [PI] | £26,278 | 麻豆传媒 & Nissan Motor Manufacturing UK Ltd

Postgraduate Taught Module

• CSC8628 Image Informatics
• CSC8409 Capstone Project for Data Analytics Degree Apprenticeship

• Articles

  • Zhu Y, Li M, Ye Q, Wang S, Xin T, Zhang H. . Artificial Intelligence in Medicine 2025, 167, 103197.
  • Cheng Z, Zhu Y, Wang S, Xin T, Zhang H. . ACM Transactions on Intelligent Systems and Technology 2025, epub ahead of print.
  • Suresh MD, Xin T, Cook SM, Evans DM. . Agricultural and Forest Entomology 2025, 27(1), 35-49.
  • Zhu Y, Wang S, Xin T, Zhang Z, Zhang H. . IEEE Transactions on Instrumentation and Measurement 2024, 73, 5016312.
  • Cheng Z, Wang S, Xin T, Zhou T, Zhang H, Shao L. . IEEE Transactions on Medical Imaging 2024, 43(6), 2202-2214.
  • Akbulut O, McLaughlin L, Xin T, Forshaw M, Holliman NS. . Visual Informatics 2023, 7(3), 22-36.
  • Wang Z, Xin T, Wang S, Zhang H. . 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. . In: David A. Bohan, Alex J. Dumbrell, ed. Advances in Ecological Research. Amsterdam: Elsevier, 2023, pp.1-34.

• Conference Proceedings (inc. Abstracts)

  • Cheng Z, Wang S, Xin T, Zhang H. . In: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2024, Lisbon: IEEE Computer Society.
  • Zhu Y, Wang S, Xin T, Zhang H. . In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. 2024, Marrakesh, Morocco: Springer.
  • Wang Z, Zhang X, Wang S, Xin T, Zhang H, Lu J. Multi-scale Spatial Transformer Network For Lidar-camera 3D Object Detection. In: 2021 International Joint Conference on Neural Networks (IJCNN). 2021, IEEE. In Preparation.
  • Xin T, Marris P, Mihut A, Ushaw G, Morgan G. . In: Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018). 2018, Madeira, Portugal: SciTePress.