Muhammad Saqib Sohail
Intern at King Abdullah University of Science and Technology (KAUST),
Research Interests
- Signal Processing.
- Population Genetic.
- Computational biology.
Education
- Doctor of Philosophy (Ph.D.)
- Electrical and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, 2020
- Master of Science (M.S.)
- Electrical Engineering, King Fahd University of Petroleum & Minerals, Saudi Arabia, 2008
- Bachelor of Science (B.S.)
- Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan, 2002
Selected Publications
- Ali, A. ., Masood, M. ., Sohail, M. S., Al-Ghadhban, S. N., & Al-Naffouri, T. Y. (2016). Narrowband Interference Mitigation in SC-FDMA Using Bayesian Sparse Recovery. IEEE Transactions on Signal Processing ( Volume: 64, Issue: 24, 15 December 2016).
- Al-Naffouri, T. Y., Dahman, A. A., Sohail, M. S., Xu, W. ., & Hassibi, B. . (2012). Low-Complexity Blind Equalization for OFDM Systems With General Constellations.
- Sohail, M. S., & Al-Naffouri, T. Y. (2010). An EM based frequency domain channel estimation algorithm for multi-access OFDM systems.
- Al-Naffouri, T. Y., Moinuddin, M. ., & Sohail, M. S. (2010). Mean Weight Behavior of the NLMS Algorithm for Correlated Gaussian Inputs. IEEE Signal Processing Letters ( Volume: 18, Issue: 1, January 2011).
