Mohamed A Suliman

MS Degree at King Abdullah University of Science and Technology, Ph.D. candidate, Imperial College London..

Imperial College London scholarship, Imperial College London, 2017
King Abdullah University of Science and Technology (KAUST) Fellowship, King Abdullah University of Science and Technology, 2014
Second place, Graduation Projects Competition., IEEE Student Branch, Sudan, 2013
Electrical Engineering Department Award for Scientific Excellence, Electrical and Electronic Engineering Department, 2013
Engineering Association Award for best graduation project in Faculty of Engineering, Faculty of Engineering, 2013
Faculty Award for the second best academic performance in Faculty of Engineering, Faculty of Engineering , 2009
University of Khartoum Scholarship for top 20 students in Sudan Secondary School Exam, University of Khartoum, 2008

Doctor of Philosophy (Ph.D.): Electrical and Electronic Engineering, Imperial College London, United Kingdom, 2021

Master of Science (M.S.): Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2016

Bachelor of Engineering (B.Eng.): Electrical and Electronic Engineering, University of Khartoum, Sudan, 2013

Suliman, M. A., & Dai, W. . (2021). Mathematical Theory of Atomic Norm Denoising in Blind Two-Dimensional Super-Resolution.
Suliman, M. A., & Dai, W. . (2018). Blind Two-Dimensional Super-Resolution and Its Performance Guarantee (Extended Version).
Suliman, M. A., Alrashdi, A. M., Ballal, T. ., & Al-Naffouri, T. Y. (2017). SNR Estimation in Linear Systems With Gaussian Matrices.
Ballal, T. ., Suliman, M. ., & Al-Naffouri, T. Y. (2017). Bounded Perturbation Regularization for Linear Least Squares Estimation. IEEE Access ( Volume: 5).
Suliman, M. ., Ballal, T. ., Kammoun, A. ., & Al-Naffouri, T. Y. (2016). Constrained Perturbation Regularization Approach for Signal Estimation Using Random Matrix Theory.

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