Website
Current Position
Ph.D. candidate, Imperial College London, London, UK, 2017-Present
Education
- M.S. in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (Aug. 2014 - May. 2016).
- B.Sc. in Electrical and Electronic Engineering, University of Khartoum, Sudan (Oct. 2008- Sept. 2013).
Research Interests
- Optimal Regularization of Linear System,
- Signal processing
- Machine learning
- Big data analysis
- Sensor network
- Random matrix theory.
Selected Publications
M. A. Suliman, T. Ballal, and T. Y. Al-Naffouri, “Perturbation-based regularization for signal estimation in linear discrete ill-posed problems,” Signal Processing, vol. 152, pp. 35–46, Nov. 2018.
M. A. Suliman, A. M. Alrashdi, T. Ballal, and T. Y. Al-Naffouri, “SNR Estimation in Linear Systems With Gaussian Matrices,” IEEE Signal Processing Letters, vol. 24, no. 12, pp. 1867–1871, Dec. 2017.
T. Ballal, M. A. Suliman, and T. Y. Al-Naffouri, “Bounded Perturbation Regularization for Linear Least Squares Estimation,” IEEE Access, vol. 5, pp. 27551–27562, 2017.
M. Suliman, T. Ballal, A. Kammoun, and T. Y. Al-Naffouri, “Constrained Perturbation Regularization Approach for Signal Estimation Using Random Matrix Theory,” IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1727–1731, Dec. 2016.
M. A. Suliman, T. Ballal, and T. Y. Al-Naffouri, “Perturbation-based regularization for signal estimation in linear discrete ill-posed problems,” Signal Processing, vol. 152, pp. 35–46, Nov. 2018.
Assistant Professor,
Electrical and Computer Engineering