Dr Kashif Rajpoot PhD, MSc, SFHEA

Dr Kashif Rajpoot

Dubai Campus
Deputy Head of School of Computer Science Dubai
Associate Professor of Computer Science

Contact details

University of Birmingham Dubai
Dubai International Academic City
PO Box 341799
Dubai, UAE

Kashif Rajpoot is Deputy Head of School of Computer Science (for Dubai) and an Associate Professor of Computer Science.

His research focuses on developing solutions for problems in medical image analysis, cardiac electrophysiology, computational pathology, artificial intelligence, and data science. He has published over 60 research papers in leading journals and conferences of his domain.

Working with Cairn Research


  • PhD in Engineering Science, University of Oxford, UK, 2009
  • MSc in Digital Signal & Image Processing, De Montfort University, UK, 2003


  • BSc Computer Science
  • BSc AI and Computer Science
  • MEng Computer Science and Software Engineering
  • MSc Computer Science
  • MSc AI and Computer Science
  • MSc Data Science
  • MSc AI and Machine Learning


Recent publications


Vu, QD, Rajpoot, K, Raza, SEA & Rajpoot, N 2023, 'Handcrafted histological transformer (H2T): unsupervised representation of whole slide images', Medical Image Analysis, vol. 85, 102743. https://doi.org/10.1016/j.media.2023.102743

O’Shea, C, Winter, J, Kabir, SN, O’Reilly, M, Wells, SP, Baines, O, Sommerfeld, LC, Correia, J, Lei, M, Kirchhof, P, Holmes, AP, Fabritz, L, Rajpoot, K & Pavlovic, D 2022, 'High resolution optical mapping of cardiac electrophysiology in pre-clinical models', Scientific Data, vol. 9, no. 1, 135. https://doi.org/10.1038/s41597-022-01253-1

Ziafat, N, Ahmad, HF, Fatima, I, Zia, M, Alhumam, A & Rajpoot, K 2021, 'Correct pronunciation detection of the arabic alphabet using deep learning', Applied Sciences (Switzerland), vol. 11, no. 6, 2508. https://doi.org/10.3390/app11062508

Liaqat, M, Khan, S, Younis, MS, Majid, M & Rajpoot, K 2019, 'Applying uncertain frequent pattern mining to improve ranking of retrieved images', Applied Intelligence, vol. 49, no. 8, pp. 2982-3001. https://doi.org/10.1007/s10489-019-01412-9

O’shea, C, Holmes, AP, Winter, J, Correia, J, Ou, X, Dong, R, He, S, Kirchhof, P, Fabritz, L, Rajpoot, K & Pavlovic, D 2019, 'Cardiac optogenetics and optical mapping – overcoming spectral congestion in all-optical cardiac electrophysiology', Frontiers in Physiology, vol. 10, no. MAR, 182. https://doi.org/10.3389/fphys.2019.00182

O'Shea, C, Holmes, A, Yu, TY, Winter, J, Wells, S, Correia, J, Boukens, BJ, de Groot, J, Chu, GS, Li, X, Ng, GA, Kirchhof, P, Fabritz, L, Rajpoot, K & Pavlovic, D 2019, 'ElectroMap: High-throughput open-source software for analysis and mapping of cardiac electrophysiology', Scientific Reports, vol. 9, no. 1, 1389. https://doi.org/10.1038/s41598-018-38263-2

O'Shea, C, Pavlovic, D, Rajpoot, K & Winter, J 2019, 'Examination of the effects of conduction slowing on the upstroke of the optically recorded action potentials', Frontiers in Physiology, vol. 10, 1295, pp. 1-11. https://doi.org/10.3389/fphys.2019.01295

O'Shea, C, Holmes, AP, Yu, TY, Winter, J, Wells, SP, Parker, BA, Fobian, D, Johnson, DM, Correia, J, Kirchhof, P, Fabritz, L, Rajpoot, K & Pavlovic, D 2019, 'High-throughput analysis of optical mapping data using Electromap', Journal of Visualized Experiments , no. 148, e59663. https://doi.org/10.3791/59663

O'Shea, C, Winter, J, Holmes, AP, Johnson, DM, Correia, JN, Kirchhof, P, Fabritz, L, Rajpoot, K & Pavlovic, D 2019, 'Temporal irregularity quantification and mapping of optical action potentials using wave morphology similarity', Progress in Biophysics and Molecular Biology. https://doi.org/10.1016/j.pbiomolbio.2019.12.004

Masania, J, Faustmann, G, Anwar, A, Hafner-Giessauf, H, Rajpoot, N, Grabher, J, Rajpoot, K, Tiran, B, Obermayer-Pietsch, B, Winklhofer-Roob, BM, Roob, JM, Rabbani, N & Thornalley, PJ 2019, 'Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health', Oxidative medicine and cellular longevity, vol. 2019, 4851323. https://doi.org/10.1155/2019/4851323

Anwar, A, Rajpoot, K, Abruzzo, PM, Pasha, S, Bolotta, A, Ghezzo, A, Marini, M, Posar, A, Visconti, P, Thornalley, PJ & Rabbani, N 2018, 'Advanced glycation endproducts, dityrosine and arginine transporter dysfunction in autism - a source of biomarkers for clinical diagnosis', Molecular Autism, vol. 9, 3. https://doi.org/10.1186/s13229-017-0183-3

Fatima, I, Mukhtar, H, Ahmad, HF & Rajpoot, K 2018, 'Analysis of user-generated content from online social communities to characterise and predict depression degree', Journal of Information Science, vol. 44, no. 5, pp. 683-695. https://doi.org/10.1177/0165551517740835

Conference contribution

Alduayj, SS & Rajpoot, K 2019, Predicting Employee Attrition using Machine Learning. in Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018., 8605976, Proceedings of the 2018 13th International Conference on Innovations in Information Technology, IIT 2018, Institute of Electrical and Electronics Engineers (IEEE), pp. 93-98, 13th International Conference on Innovations in Information Technology, IIT 2018, Al Ain, United Arab Emirates, 18/11/18. https://doi.org/10.1109/INNOVATIONS.2018.8605976

Review article

Asif, A, Rajpoot, K, Graham, S, Snead, D, Minhas, F & Rajpoot, N 2023, 'Unleashing the potential of AI for pathology: challenges and recommendations', Journal of Pathology. https://doi.org/10.1002/path.6168

Short survey

O'Shea, C, Kabir, SN, Holmes, AP, Lei, M, Fabritz, L, Rajpoot, K & Pavlovic, D 2020, 'Cardiac optical mapping – state-of-the-art and future challenges', International Journal of Biochemistry and Cell Biology, vol. 126, 105804. https://doi.org/10.1016/j.biocel.2020.105804

View all publications in research portal