Dr. Asif Iqbal

Dr. Asif Iqbal

Dr. Asif Iqbal

Assistant Professor
(HEC Approved)
Electrical Engineering

Dr. Asif Iqbal has joined FAST-Peshawar campus as Assistant Professor in the Electrical Engineering Department. He recently completed his Ph.D. in Electrical Engineering from Melbourne School of Engineering, University of Melbourne, Australia. His area of research includes statistical signal processing, dictionary learning, sparse representations, numerical optimization and biomedical signal processing.

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  • Numerical Optimization, Sparse Representations, Dictionary Learning, Biomedical Signal Processing, and Image Processing.
  • Journal Publications
  • 1. A. K. Seghouane, and A. Iqbal, “Sequential Dictionary Learning From Correlated Data: Application to fMRI Data Analysis,” IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 3002-3015, 2017. (Impact Factor: 6.79)..
  • 2. A. K. Seghouane, and A. Iqbal, “Basis Expansions Approaches for Regularized Sequential Dictionary Learning Algorithms with Enforced Sparsity for fMRI Data Analysis,” IEEE Transactions on Medical Imaging, vol. 36, no. 9, pp. 1796-1807, 2017. (Impact Factor: 7.816).
  • 3. A. Iqbal, and A. K. Seghouane, “A dictionary learning algorithm for multi-subject fMRI analysis based on a hybrid concatenation scheme,” Digital Signal Processing, vol. 83, pp. 249-260, 2018. (Impact Factor: 2.792).
  • 4. A. Iqbal, A. K. Seghouane, and T. Adali, “Shared and Subject-Specific Dictionary Learning Algorithm for Multi-Subject fMRI Data Analysis (ShSSDL),” IEEE Transactions on Biomedical Engineering, vol. 65, no. 11, pp. 2519-2528, Nov, 2018. (Impact Factor: 4.491)..
  • 5. A. K. Seghouane, A. Iqbal, and K. A. Meraim, “A Sequential Block-Structured Dictionary Learning Algorithm for Block Sparse Representations,” IEEE Transactions on Computational Imaging, pp. 228 - 239, 2018. (Impact Factor: 4.564)
  • 6. A. K. Seghouane, and A. Iqbal, “The Adaptive Block Sparse PCA and its Application to Multi-Subject fMRI Data Analysis Using Sparse mCCA,” Signal Processing, vol. 153, pp. 311-320, 2018. (Impact Factor: 4.086)
  • 7. A. K. Seghouane, and A. Iqbal, “Consistent Adaptive Sequential Dictionary Learning,” Signal Processing, vol. 153, pp. 300-310, 2018. (Impact Factor: 4.086).
  • 8. A. Iqbal, and A. K. Seghouane, “An ? -Divergence Based Approach for Robust Dictionary Learning”, Published in IEEE Transactions on Image Processing on 17th June, 2019. (Impact Factor: 6.79).
  • 9. A. Iqbal, M. N. Meziane, A. K. Seghouane, and K. A. Meraim, “Adaptive Complex-Valued Dictionary Learning: Application to fMRI Data Analysis,” Published in Signal Processing on 27th Aug, 2019. (Impact Factor: 4.086)
  • Conference Publications
  • 1. Iqbal, A. & Seghouane, A. K. (2017) An Approach for Sequential Dictionary Learning in Nonuniform Noise. In 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).), pp. 1-5.
  • 2. Seghouane, A. K. & Iqbal, A. (2017) A regularized sequential dictionary learning algorithm for fMRI data analysis. In 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).), pp. 1-6.
  • 3. Seghouane, A. K. & Iqbal, A. (2017) CSMSDL: A common sequential dictionary learning algorithm for multi-subject fMRI data sets analysis. In 2017 IEEE International Conference on Image Processing (ICIP).), pp. 4113-4117.
  • 4. Seghouane, A. K., Iqbal, A. & Desai, N. K. (2017) BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets. In Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on.) IEEE, pp. 6324-6328.
  • 5. Iqbal, A. & Seghouane, A. K. (2018) An Algorithm for Multi Subject fMRI Analysis Based on the SVD and Penalized Rank-1 Matrix Approximation. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).), pp. 2721-272
  • 6. Iqbal, A. & Seghouane, A. K. (2018) Dictionary Learning Algorithm for Multi-Subject fMRI Analysis Via Temporal and Spatial Concatenation. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).), pp. 2751-2755.
  • 7. Iqbal, A. & Seghouane, A. (2019) Robust Dictionary Learning Using ?-Divergence. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).), pp. 2972-2976.
  • 8. Seghouane, A., Iqbal, A. & Abed-Meraim, K. (2019) Sequential Structured Dictionary Learning for Block Sparse Representations. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).), pp. 3397-3401.

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