Dr Fawad Hussain PhD

Dr Fawad Hussain

School of Computer Science
Associate Professor

Contact details

School of Computer Science
Main campus building, Dubai campus
University of Birmingham
Dubai International Academic City
P.O Box 341799
Dubai, UAE

Dr. Fawad Hussain is an Associate Professor of Computer Science at the University of Birmingham, positioned at the Dubai campus. His research interests lie primarily in the domains of artificial intelligence and machine learning, particularly in subspace and multi-view learning and its applications in interdisciplinary research. 


  • PhD in Computer Science (Grenoble Alpes University, Grenoble, France), 2010
  • MS in Computer Science (Sorbonne University, Paris, France), 2006
  • BS in Computer Science, 2003


Syed Fawad Hussain obtained his MS degree in Computer Science from the Pierre and Marie Curie University (now Paris-Sorbonne University), Paris, France, and a Ph.D. in Computer Science from the University of Grenoble (now Grenoble Alpes University), Grenoble, France. He is currently an associate professor of computer science at the University of Birmingham, Dubai.

Prior to joining the University of Birmingham, he has been associated with the GIK Institute, Topi, where he worked as a faculty member for 11 years and as dean of graduate studies for 1 year. He has been involved in curriculum development at the university and national level as co-chair of the national curriculum revision committee at the Higher Education Commission (HEC), Pakistan.

His research interests include developing supervised and unsupervised learning algorithms for high-dimensional data, co-clustering and multi-view clustering, semantic kernels, etc. He is also working in multiple application domains including social media analysis, classifying ECG/EEG signals for mobile healthcare, and other interdisciplinary areas.


  • BSc. Computer science
  • MSc. Machine Learning and Artificial Intelligence


  • Machine Learning
  • Optimization
  • Medical AI
  • Interdisciplinary research


Recent publications


Hussain, SF & Ashraf, MM 2023, 'A novel one-vs-rest consensus learning method for crash severity prediction', Expert Systems with Applications, vol. 228, 120443. https://doi.org/10.1016/j.eswa.2023.120443

Hassan, F, Hussain, SF & Qaisar, SM 2023, 'Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques', Information Fusion, vol. 92, pp. 466-478. https://doi.org/10.1016/j.inffus.2022.12.019

Hanif, M, Tonazzini, A, Hussain, SF, Khalil, A & Habib, U 2023, 'Restoration and content analysis of ancient manuscripts via color space based segmentation', PLoS ONE, vol. 18, no. 3, e0282142. https://doi.org/10.1371/journal.pone.0282142

Wang, T, Liu, Z, Zhang, T, Hussain, SF, Waqas, M & Li, Y 2022, 'Adaptive feature fusion for time series classification', Knowledge-Based Systems, vol. 243, 108459. https://doi.org/10.1016/j.knosys.2022.108459

Azam, B, Khan, MJ, Bhatti, FA, Maud, ARM, Hussain, SF & Khurshid, K 2022, 'Aircraft detection in satellite imagery using deep learning-based object detectors', Microprocessors and Microsystems, vol. 94, 104630. https://doi.org/10.1016/j.micpro.2022.104630

Hussain, SF, Hussain, G & Rahman, N 2022, 'Artificial neural network modelling and optimization of elastic and an-elastic spring back in polymer parts produced through ISF', International Journal of Advanced Manufacturing Technology, vol. 118, no. 7-8, pp. 2163–2176. https://doi.org/10.1007/s00170-021-08054-7

Hanif, M, Tonazzini, A, Hussain, SF, Habib, U, Salerno, E, Savino, P & Halim, Z 2022, 'Blind bleed-through removal in color ancient manuscripts', Multimedia Tools and Applications. https://doi.org/10.1007/s11042-022-13755-6

Hussain, SF, Butt, IA, Hanif, M & Anwar, S 2022, 'Clustering uncertain graphs using ant colony optimization (ACO)', Neural Computing and Applications, vol. 34, no. 14, pp. 11721-11738. https://doi.org/10.1007/s00521-022-07063-1

Hussain, SF, Khan, M & Siddiqi, I 2022, 'Co-clustering based classification of multi-view data', Applied Intelligence, vol. 52, no. 13, pp. 14756–14772 . https://doi.org/10.1007/s10489-021-03087-7

Hussain, SF, Shahzadi, F & Munir, B 2022, 'Constrained class-wise feature selection (CCFS)', International Journal of Machine Learning and Cybernetics, vol. 13, no. 10, pp. 3211–3224. https://doi.org/10.1007/s13042-022-01589-5

Fawad Hussain, S & Mian Qaisar, S 2022, 'Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier', Expert Systems with Applications, vol. 191, 116356. https://doi.org/10.1016/j.eswa.2021.116356

Hassan, F, Hussain, SF & Qaisar, SM 2022, 'Epileptic seizure detection using a hybrid 1D CNN-machine learning approach from EEG data', Journal of Healthcare Engineering, vol. 2022, 9579422. https://doi.org/10.1155/2022/9579422

Hussain, SF, Khan, K & Jillani, R 2022, 'Weighted multi-view co-clustering (WMVCC) for sparse data', Applied Intelligence, vol. 52, no. 1, pp. 398–416. https://doi.org/10.1007/s10489-021-02405-3

Mian Qaisar, S & Hussain, SF 2021, 'An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection', Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-021-03275-w

Shah, SNR & Hussain, SF 2021, 'An optimized machine learning based moment-rotation analysis of steel pallet rack connections', Structural Engineering and Mechanics, vol. 79, no. 4, pp. 499-506. https://doi.org/10.12989/sem.2021.79.4.499

View all publications in research portal