PhD candidate at Hong Kong University of Science and Technology.
• MSc, KFUPM, Nov 2008 – Jun 2011.
• B.Sc. in Electrical Engineering, NED University of Engineering and Technology, 2004-2007, Karachi, Pakistan.
• Novel Compressive Sensing Techniques for Channel Estimation and Deconvolution in UWB.
• Computational Immunology
• Statistical Signal processing
• Bio-Medical Signal Processing
• Computational Neuroscience
 H. Ali, S. Ahmed, T. Y. Al-Naffouri, M. S. Sharawi,, and M.-S. Alouini, "Reduced Complexity DOA and DOD Estimation for Moving Target in Bistatic MIMO Radar", Submitted to IEEE Transactions on Signal Processing.
 T. Bouchoucha, S. Ahmed, T. Y. Al-Naffouri, and M. S. Alouini, "DFT-Based Closed-Form Covariance Matrix and Direct Waveforms Design for MIMO Radar to Achieve Desired Beampatterns", in IEEE Transactions on Signal Processing, vol.65, pp.2104-2113, Apr. 2017.
 H. Ali, S. Ahmed, T. Y. Al-Naffouri, M. S. Sharawi, and M. S. Alouini, "Target parameter estimation for spatial and temporal formulations in MIMO radars using compressive sensing", in EURASIP Journal on Advances in Signal Processing, vol.2017, pp.6, Jan. 2017.
 H. Ali, S. Ahmed, T. Y. Al-Naffouri, and M. S. Alouini, "Reduced complexity FFT-based DOA and DOD estimation for moving target in bistatic MIMO radar", 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3021-3025, Mar. 2016.
 T. Bouchoucha, S. Ahmed, T. Y. Al-Naffouri, and M. S. Alouini, "Closed-form solution to directly design face waveforms for beampatterns using planar array", 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2359-2363, Apr. 2015.