Dr Karim Seghouane

  • Room: Level: 03 Room: 7
  • Building: Electrical and Electronic Engineering
  • Campus: Parkville

Research interests

  • Analysis of Physiological Signals
  • Biomedical Image Analysis
  • Statistical Signal and Image Processing

Biography

Dr. Karim Seghouane is an ARC Future Fellow in the Department of Electrical And Electronic Engineering at the University of Melbourne. He completed his PhD in Signal Processing and Control from Universite Paris Sud (Paris XI) in 2003.

Before Moving to the University of Melbourne, he was with NICTA (formaly National ICT Australia) Canberra Research Laboratory and the College of Engineering & Computer Science, Australian National University (ANU) from 2005 to 2012.

Recent publications

  1. Iqbal A, Nait-Meziane M, Seghouane A, Abed-Meraim K. Adaptive complex-valued dictionary learning: Application to fMRI data analysis. Signal Processing. Elsevier Science. 2020, Vol. 166. DOI: 10.1016/j.sigpro.2019.107263
  2. Iqbal A, Seghouane A. A alpha-Divergence-Based Approach for Robust Dictionary Learning. IEEE TRANSACTIONS ON IMAGE PROCESSING. IEEE Signal Processing Society. 2019, Vol. 28, Issue 11. DOI: 10.1109/TIP.2019.2922074
  3. Seghouane A, Iqbal A, Abed-Meraim K. A Sequential Block-Structured Dictionary Learning Algorithm for Block Sparse Representations. IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING. IEEE - Institute of Electrical and Electronic Engineers. 2019, Vol. 5, Issue 2. DOI: 10.1109/TCI.2018.2884809
  4. Miri Rekavandi A, Seghouane A, Evans R. Adaptive Subspace Detector in High Dimensional Space with Insufficient Training Data. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers. 2019, Vol. 2019-May. DOI: 10.1109/ICASSP.2019.8683677
  5. Seghouane A, Shokouhi N. Consistent Estimation of Dimensionality for Data-Driven Methods in fMRI Analysis. IEEE TRANSACTIONS ON MEDICAL IMAGING. IEEE - Institute of Electrical and Electronic Engineers. 2019, Vol. 38, Issue 2. DOI: 10.1109/TMI.2018.2866640
  6. Seghouane A, Shokouhi N. Estimating the Number of Significant Canonical Coordinates. IEEE ACCESS. IEEE - Institute of Electrical and Electronic Engineers. 2019, Vol. 7. DOI: 10.1109/ACCESS.2019.2933255
  7. Ubaru S, Seghouane A, Saad Y. Find the dimension that counts: Fast dimension estimation and Krylov PCA. Proceedings of the 2019 SIAM International Conference on Data Mining. SIAM Publications. 2019. DOI: 10.1137/1.9781611975673.81
  8. Wang M, Seghouane A. Motion Artefact Removal in Functional Near-infrared Spectroscopy Signals Based on Robust Estimation. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers. 2019, Vol. 2019-May. DOI: 10.1109/ICASSP.2019.8682717
  9. Iqbal A, Seghouane A. Robust Dictionary Learning Using α-Divergence. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers. 2019, Vol. 2019-May. DOI: 10.1109/ICASSP.2019.8683210
  10. Seghouane A, Ferrari D. Robust Hemodynamic Response Function Estimation From fNIRS Signals. IEEE TRANSACTIONS ON SIGNAL PROCESSING. IEEE - Institute of Electrical and Electronic Engineers. 2019, Vol. 67, Issue 7. DOI: 10.1109/TSP.2019.2899289
  11. Seghouane A, Iqbal A, Abed-Meraim K. Sequential Structured Dictionary Learning for Block Sparse Representations. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers. 2019, Vol. 2019-May. DOI: 10.1109/ICASSP.2019.8683600
  12. Seghouane A, Shokouhi N, Koch I. Sparse Principal Component Analysis With Preserved Sparsity Pattern. IEEE TRANSACTIONS ON IMAGE PROCESSING. IEEE Signal Processing Society. 2019, Vol. 28, Issue 7. DOI: 10.1109/TIP.2019.2895464
  13. Qadar M, Aissa-El-bey A, Seghouane A. Two dimensional CCA via penalized matrix decomposition for structure preserved fMRI data analysis. Digital Signal Processing. Academic Press - Elsevier Science. 2019, Vol. 92. DOI: 10.1016/j.dsp.2019.04.010
  14. Iqbal A, Seghouane A. A dictionary learning algorithm for multi-subject fMRI analysis based on a hybrid concatenation scheme. DIGITAL SIGNAL PROCESSING. Academic Press - Elsevier Science. 2018, Vol. 83. DOI: 10.1016/j.dsp.2018.09.007
  15. Desai N, Seghouane A, Palaniswami M. Algorithms for two dimensional multi set canonical correlation analysis. PATTERN RECOGNITION LETTERS. Elsevier Science. 2018, Vol. 111. DOI: 10.1016/j.patrec.2018.04.038

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile