Current Position
PhD candidate at Hong Kong University of Science and Technology.
Education
• MSc, KFUPM, Nov 2008 – Jun 2011.
• B.Sc. in Electrical Engineering, NED University of Engineering and Technology, 2004-2007, Karachi, Pakistan.
Research Interests
• Novel Compressive Sensing Techniques for Channel Estimation and Deconvolution in UWB.
• Computational Immunology
• Statistical Signal processing
• Bio-Medical Signal Processing
• Computational Neuroscience
Selected Publications
[1] 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.
[2] 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.
[3] 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.
[1] 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.
[2] 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.