Dr Fawad Hussain PhD

Dr Fawad Hussain

School of Computer Science
Associate Professor

Contact details

Email
s.f.hussain@bham.ac.uk
Address
School of Computer Science
Main campus building, Dubai campus
ºÚÁϳԹÏÍø
Dubai International Academic City
P.O Box 341799
Dubai, UAE

Dr. Fawad Hussain is an Associate Professor of Computer Science at the ºÚÁϳԹÏÍø, 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. 

Qualifications

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

Biography

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 ºÚÁϳԹÏÍø, Dubai.

Prior to joining the ºÚÁϳԹÏÍø, 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.

Teaching

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

Research

  • Machine Learning
  • Optimization
  • Medical AI
  • Interdisciplinary research

Publications

Recent publications

Article

Sadia, H, Iqbal, H, Hussain, SF & Saeed, N 2025, '', IEEE Open Journal of the Communications Society, vol. 6, 10812022, pp. 29-38.

Ali, N, Halim, Z & Hussain, SF 2023, '', Scientometrics, vol. 128, no. 3, pp. 1513-1545.

Hussain, SF & Ashraf, MM 2023, '', Expert Systems with Applications, vol. 228, 120443.

Haider, U, Hanif, M, Rashid, A & Hussain, SF 2023, '', Image and Vision Computing, vol. 135, 104718.

Hassan, F, Hussain, SF & Qaisar, SM 2023, '', Information Fusion, vol. 92, pp. 466-478.

Zhang, T, Gao, Z, Liu, Z, Hussain, SF, Waqas, M, Halim, Z & Li, Y 2023, '', Knowledge-Based Systems, vol. 265, 110344.

Hanif, M, Tonazzini, A, Hussain, SF, Khalil, A & Habib, U 2023, '', PLoS ONE, vol. 18, no. 3, e0282142.

Wang, T, Liu, Z, Zhang, T, Hussain, SF, Waqas, M & Li, Y 2022, '', Knowledge-Based Systems, vol. 243, 108459.

Azam, B, Khan, MJ, Bhatti, FA, Maud, ARM, Hussain, SF & Khurshid, K 2022, '', Microprocessors and Microsystems, vol. 94, 104630.

Hussain, SF, Hussain, G & Rahman, N 2022, '', International Journal of Advanced Manufacturing Technology, vol. 118, no. 7-8, pp. 2163–2176.

Hanif, M, Tonazzini, A, Hussain, SF, Habib, U, Salerno, E, Savino, P & Halim, Z 2022, '', Multimedia Tools and Applications.

Hussain, SF, Butt, IA, Hanif, M & Anwar, S 2022, '', Neural Computing and Applications, vol. 34, no. 14, pp. 11721-11738.

Chapter

Hassan, F & Hussain, SF 2023, . in SM Qaisar, H Nisar & A Subasi (eds), Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning. Springer International Publishing Cham, pp. 159-183.

Conference contribution

Aslam, MH, Hussain, SF & Ali, RH 2023, . in 2022 17th International Conference on Emerging Technologies, ICET 2022. International Conference on Emerging Technologies, ICET, IEEE, pp. 95-100, 17th International Conference on Emerging Technologies, ICET 2022, Swabi, Pakistan, 29/11/22.

Review article

Haris, M, Yusoff, Y, Mohd Zain, A, Khattak, AS & Hussain, SF 2024, '', Engineering Applications of Artificial Intelligence, vol. 132, 107857.