Dr Kashif Rajpoot PhD, MSc, FHEA

Dr Kashif Rajpoot

School of Computer Science
Programme Director (Computer Science)
Senior Lecturer in Computer Science

Contact details

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

Dr Kashif Rajpoot is the Programme Director and a Senior Lecturer in Computer Science.

His research focuses on developing solutions for problems in medical image analysis, machine learning, cardiac electrophysiology, and biomarker analysis. He has published over 30 research papers in leading journals and conferences of his domain.

He leads the Computer Science programmes in University of Birmingham’s Dubai campus.

Qualifications

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

Biography

Kashif Rajpoot completed post-doctorate and PhD from University of Oxford, UK. His research work has focused on developing algorithms for multi-view 3D echocardiography to assist and enhance diagnostic routine in cardiology clinics. He has experience in the development and application of computational and machine learning algorithms for understanding and analysing biomedical data, in particular medical images.

Kashif joined University of Birmingham as a Lecturer in January 2016 and was appointed as a Senior Lecturer & Programme Director (Computer Science) for our Dubai campus in February 2018. Prior to that, he obtained research, academic and international experience at various reputable institutions including University of Oxford (UK), King Faisal University (Saudi Arabia), National University of Sciences & Technology (Pakistan), and GIK Institute of Engineering Sciences & Technology (Pakistan).

At Birmingham, he has taught the following modules: Introduction to Software Engineering, Machine Learning, Introductory Computer Science, and Computational Tools for Modelling and Analysis. Prior to joining Birmingham, he has taught a variety of modules in Computer Science at both Undergraduate and Postgraduate levels, for example: Artificial Intelligence, Applied Image Processing, Digital Image Processing, Fundamentals of Programming, and Data Structures.

Teaching

Programmes

  • BSc Computer Science
  • MSc Computer Science

Postgraduate supervision

Kashif has the experience and supervises students at PhD, MSc, and BSc levels.

Research

Research interests

  • medical image analysis
  • cardiovascular imaging
  • cardiac electrophysiology
  • computational pathology
  • machine learning
  • biomarker analysis

Publications

Recent publications

Article

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, 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, 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

Legrand, C, Ahmed, U, Anwar, A, Rajpoot, K, Pasha, S, Lambert, C, Davidson, RK, Clark, IM, Thornalley, PJ, Henrotin, Y & Rabbani, N 2018, 'Glycation marker glucosepane increases with the progression of osteoarthritis and correlates with morphological and functional changes of cartilage in vivo', Arthritis Research & Therapy, vol. 20, 131. https://doi.org/10.1186/s13075-018-1636-6

Irfan, R, Khan, S, Rajpoot, K & Qamar, AM 2018, 'TIE algorithm: A layer over clustering-based taxonomy generation for handling an evolving data', Frontiers of Information Technology and Electronic Engineering, vol. 19, no. 6, pp. 763–782. https://doi.org/10.1631/FITEE.1700517

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 2017, 'Analysis of user-generated content from online social communities to characterize and predict depression degree', Journal of Information Science.

Usman, K & Rajpoot, K 2017, 'Brain tumor classification from multi-modality MRI using wavelets and machine learning', Pattern Analysis and Applications, vol. 20, no. 3, pp. 871–881. https://doi.org/10.1007/s10044-017-0597-8

Awan, R & Rajpoot, K 2015, 'Spatial and spatio-temporal feature extraction from 4D echocardiography images', Computers in Biology and Medicine, vol. 64, pp. 138-147. https://doi.org/10.1016/j.compbiomed.2015.06.017

Shaheen, A & Rajpoot, K 2015, 'Adaptive image inversion of contrast 3D echocardiography for enabling automated analysis', Computers in Biology and Medicine, vol. 63, pp. 99-107. https://doi.org/10.1016/j.compbiomed.2015.05.009

Rajpoot, K, Riaz, A, Majeed, W, Rajpoot, N & Zuo, X (ed.) 2015, 'Functional Connectivity Alterations in Epilepsy from Resting-State Functional MRI', PLoS ONE, vol. 10, no. 8, pp. e0134944. https://doi.org/10.1371/journal.pone.0134944

View all publications in research portal