Abdesselam Bouzerdoum | Hamad Bin Khalifa University

Dr. Abdesselam Bouzerdoum

Professor

Office location

A036F, Ground Floor, LAS building

Dr. Abdesselam Bouzerdoum

Professor

Educational Qualifications

Ph.D, Electrical Engineering

MSc in Electrical Engineering

Entity

College of Science and Engineering

Biography

Abdesselam Bouzerdoum (M’89–SM’03 IEEE) graduated with MSEE and Ph.D. degrees from the University of Washington, Seattle, USA. In 1991, he joined Adelaide University, South Australian, and from 1998 to 2004 he was an Associate Professor with Edith Cowan University, Perth, Western Australia. In September 2004, he was appointed Professor of Computer Engineering and Head of School of Electrical, Computer & Telecommunications Engineering at the University of Wollongong. From 2007 to 2013, he served as Associate Dean (Research), Faculty of Informatics. Since March 2017, he has also been a Professor with Hamad Bin Khalifa University (HBKU), Qatar. Dr. Bouzerdoum held several Visiting Professor Appointments at Institut Galilée, Université Paris-13, LAAS/CNRS, Toulouse, France, Villanova University, USA, and the Hong Kong University of Science and Technology. From 2009 to 2011, he was a member of the ARC College of Experts and Deputy Chair of the EMI panel (2010–2011).


Dr. Bouzerdoum is the recipient of the Eureka Prize for Outstanding Science in Support of Defence or National Security (2011), the Chester Sall Award of IEEE Trans. Consumer Electronics (2005), and a Distinguished Researcher Award (Chercheur de Haut Niveau) from the French Ministry (2001). He served as Associate Editor for 5 International journals, including IEEE TRANS. IMAGE PROCESSEING, IEEE TRANS. SYSTEMS, MAN, AND CYBERNETICS (1999–2006). He has published over 350 technical articles and graduated over 30 Ph.D. and Research Masters students. His research interest include radar imaging and signal processing, image processing, vision, machine learning, and pattern recognition.

 

 

Ph.D, Electrical Engineering

University of Washington, Seattle, USA

1991

MSc in Electrical Engineering

University of Washington, Seattle, USA

1986

  • Signal and Image Processing
  • Machine Learning
  • Radar Imaging
  • Vision and Visual Processing

Professor

CSE, Hamad Bin Khalifa University, Qatar

March 2017 to present

Senior Professor of Computer Engineering

Univ. of Wollongong, Australia

Jan. 2015 to present

Professor of Computer Engineering

Univ. of Wollongong (UOW)

Sep. 2004 – Dec. 2014

Associate Dean (Research)

Faculty of Informatics, UOW, Australia

Jan. 2007 – 2013

Head of School, Electrical

School of Computer & Telecommunications Engineering, University of Wollongong, Australia

Sep. 2004 – Dec. 2006

Associate Professor

Edith Cowan University, Australia

Jan. 1998 – Sep. 2004

Director of the Centre for Very High Speed Microelectronic Systems

Jan. 2004 – Sep. 2004

Deputy Director, Centre for Very High Speed Microelectronic Systems

Jan. 1999 – 2003

Senior Assistant Professor

University of Adelaide, Adelaide, Australia

Jan. 1995 – Dec. 1997

Assistant Professor

University of Adelaide, Adelaide, Australia

Jun. 1992 – Dec. 1994

Research Associate

University of Adelaide, Adelaide, Australia

July 1991 – May 1992

Research Assistant

University of Washington, Seattle, USA

1985–1991

  • Continuous wave Doppler radar for human gait classification,” in Radar for Indoor Monitoring, M. G. Amin (Ed.), pp. 95–119, CRC Press, Boca Raton, FL,

  • Hardware/software co-design for a gender recognition embedded system,” in Trends in Applied Knowledge-Based Systems and Data Science, H. Fujita et al. (Eds.), LNCS Vol. 9799, pp. 541–552, Springer Intern. Publishing,

  • Compressive Sensing for Multi-Polarization Through Wall Radar Imaging,” in Compressive Sensing for Urban Radar, M. G. Amin (Ed.), pp. 231–250, CRC Press, Boca Raton, FL,

  • Learning pattern classification tasks with imbalanced data sets,” in Pattern Recognition, P. Y. Yin (Ed.), pp. 193–208, IN-TECH Publishing,

  • GPR target detection by joint sparse and low-rank matrix decompositions,” IEEE Trans. Geoscience and Remote Sensing (TGRS).

  • Stochastic variational hierarchical mixture of sparse Gaussian processes for regression,” Machine Learning, Vol. 107, No. 7, pp. 1947–1986, Dec. 2018

  • Customer reward-based demand response program to improve demand elasticity and minimise financial risk during price spikes,” IET Generation, Transmission and Distribution, Vol. 12, No. 15, pp. 3764–3771, July 2018

  • Characterization of voltage dips and swells in a DG embedded distribution network during and subsequent to islanding process and grid re-connection,” IEEE Transactions on Industry Applications. Vol. 54, No. 5, pp. 4028–4038, September/October 2018

  • A super descriptor tensor decomposition for dynamic scene recognition,” IEEE Transactions on Circuits and Systems for Video Technology, 2018. DOI: 10.1109/TCSVT.2018.2825784

  • Efficient cost aggregation for feature-vector-based wide-baseline stereo matching,” EURASIP Journal on Image and Video Processing, Vol. 24, pp. 1–16, April 2018 (Available online at https://rdcu.be/Ljj4).

  • Multipolarization through-wall radar imaging using low-rank and jointly-sparse representations,” IEEE Trans. Image Processing, Vol. 27, No. 4, pp. 1763–1776, April 2018

  • Short-term electricity demand forecasting using autoregressive based time varying model incorporating representative data adjustment,” Applied Energy, Vol. 205, pp. 790–801, Nov. 1, 2017

  • Evaluating the effectiveness of a machine learning approach based on response time and reliability for islanding detection of distributed generation,” IET Renewable Power Generation, Vol. 11, No. 11, pp. 1392–1400, September 2017

  • A sparse Bayesian learning approach for through-wall radar imaging of stationary targets,” IEEE Trans. Aerospace and Electronic Systems (TAES). Vol. 53, No. 5, pp. 2485–2501,

  • Convolutional Neural Network Acceleration with Hardware/Software Co-Design,” Applied Intelligence, pp. 1–14, Aug. 2, 2017 (Available online at http://rdcu.be/uGXG).

  • Pedestrian lane detection in unstructured scenes for assistive navigation,” Computer Vision and Image Understanding, Vol. 149, pp. 186–196,

  • Visual Descriptors for Scene Categorization: Experimental Evaluation,” Artificial Intelligence Review, vol. 45, No. 3, pp. 333–368,

  • Classification of Micro-Doppler Signatures of Human Motions using Log-Gabor Filters,” IET Radar, Sonar & Navigation, Vol. 9, No. 9, pp. 1188–1195,

  • Characterizing voltage sags and swells using three-phase voltage ellipse parameters,” IEEE Trans. Industry Applications, Vol. 51, No. 4, pp. 2780–2790

  • A new approach for classification and characterization of voltage dips and swells using 3D polarization ellipse parameters,” IEEE Transactions on Power Delivery, Vol. 30, No. 3, pp. 1344–1353, June 2015

  • A subspace projection approach for wall clutter mitigation in through-the-wall radar imaging," IEEE Trans. Geoscience and Remote Sensing (TGRS), Vol. 53, No. 4, pp. 2108–2122,

  • Signal Classification for Ground Penetrating Radar Using Sparse Kernel Feature Selection," IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No. 12, pp. 4670–4680,

  • A multi-feature based approach for islanding detection of DG in subcritical region of vector surge relays," IEEE Transactions on Power Delivery, Vol. 29, No. 5, pp. 2349–2358,

  • Object segmentation and classification using 3-D range camera," J. Visual Communication and Image Representation, Vol. 25, pp. 74–85,

  • An Approach for Assessing the Effectiveness of Multiple Features Based SVM Method for Islanding Detection of Distributed Generation," IEEE Transactions on Industry Applications, Vol. 50, No. 4, pp. 2844–2852,

  • Probabilistic fuzzy image fusion approach for radar through wall sensing," IEEE Trans. Image Processing, Vol. 22, No. 12, pp. 4938–4951, Dec. 2013

  • A survey of perceptual image processing methods," Signal Processing: Image Communication, Vol. 28, No. 8, pp. 811–831, Sep. 2013

  • Sparse representation of GPR traces with application to signal classification," IEEE Trans. Geoscience & Remote Sensing (TGRS), Vol. 51, No. 7, pp. 3922–3930,

  • Image segmentations for Through-the-Wall Radar target detection," IEEE Trans. Aerospace and Electronic Systems (TAES), Vol. 49, No. 3, pp. 1869–1896, July 2013

  • Two-stage fuzzy fusion with applications to Through-the-Wall Radar imaging," IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 4, pp. 687–691, July 2013

  • Two-stage Through-the-Wall Radar image formation using compressive sensing," Journal of Electronic Imaging (JEI), Vol. 22, No. 2, pp. 1–10,

  • Pooling-based Feature Extraction and Coarse-to-fine Patch Matching for Optical Flow Estimation,” Proc. 14th Asian Conference on Computer Vision (ACCV), December 2–6, 2018, Perth, WA, Australia..

  • Human Gait Recognition with Micro-Doppler Radar and Deep Autoencoder," Proc. Inter. Conf. Pattern Recognition, August 20–24, 2018, Beijing, China..

  • Scalable hierarchical mixture of Gaussian processes for pattern classification,” Proc. 2018 IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP 2018), April 15–20, 2018, Calgary, Alberta, Canada. April 15–20, 2018

  • A matrix completion approach for wall-clutter mitigation in compressive radar imaging of indoor targets,” Proc. 2018 IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP 2018), April 15–20, 2018, Calgary, Alberta, Canada. April 15–20, 2018

  • Human motion classification with micro-Doppler radar and Bayesian-optimized convolutional neural networks,” Proc. 2018 IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP 2018), pp. 2961–2965, April 15–20, 2018, Calgary, Alberta, Canada. April 15–20, 2018

  • Anatomy-Guided inverse-gradient susceptibility artefact correction method for high-resolution FMRI,” Proc. 2018 IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP 2018), pp. 786–790, April 15–20, 2018, Calgary, Alberta, Canada. April 15–20, 2018

  • Joint Low-Rank and Sparse based Image Reconstruction for Through-the-Wall Radar Imaging," Proc. 2017 IEEE Inter. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP-2017), pp. 572–576, Dec. 10–13, 2017, Curaçao, Dutch Antilles. Dec. 10–13, 2017

  • Wall clutter mitigation for radar imaging of indoor targets: a matrix completion approach,” Proc. 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES), pp. 116–121, Nov. 15–17, 2017, Hanoi, Vietnam. Nov. 15–17, 2017

  • Characterization of voltage dips and swells in a DG embedded distribution network during and subsequent to islanding process and grid re-connection,” Proc. 2017 IEEE Industry Applications Society Annual Meeting, pp. 1–9, Oct. 1–5, 2017

  • An efficient local method for stereo matching using Daisy features,” Proc. 2017 IEEE Inter. Conf. Image Processing (ICIP-2017), pp. 2503–2507. September 17–20, 2017, Beijing, China. September 17–20, 2017,

  • A low-rank and jointly-sparse approach for multipolarization through-wall radar imaging,” Proc. 2017 IEEE Radar Conference (Radarcon 2017), pp. 263–268. May 8–12, 2017, Seattle, WA, USA. May 8–12, 2017

  • GPR signal classification with low-rank and convolutional sparse coding representation,” Proc. 2017 IEEE Radar Conference (Radarcon 2017), pp. 1352–1356, May 8–12, 2017, Seattle, WA, USA. May 8–12, 2017

  • Through-the-wall radar signal classification using discriminative dictionary learning,” Proc. 42nd IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2017), pp. 3136–3140, March 5–9, 2017, New Orleans, USA. March 5–9, 2017

  • Human interaction recognition using low-rank matrix approximation and super descriptor tensor decomposition,” Proc. 42nd IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2017), pp. 1847–1851, March 5–9, 2017, New Orleans, USA. March 5–9, 2017

  • Enhanced pixel-wise voting for image vanishing point detection for road scenes,” Proc. 42nd IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2017), pp. 1852–1856, March 5–9, 2017, New Orleans, USA. March 5–9, 2017

  • Characterization of Voltage Sag Based on Point-on-Wave.” Proc. 9th Intern. Conf. Electrical and Computer Engineering (ICECE 2016), pp. 259–262, December 20–22,

  • Efficient vanishing point estimation for unstructured road scenes,” Proc. International Conference on Digital Image Computing: Techniques and Applications, (DICTA 2016), pp. 1–6, Nov. 30 – Dec. 2, 2016, Gold Coast, Qld, Australia.

  • Intra-hour and Hourly Demand Forecasting using Selective Order Autoregressive Model,” Proc. 2016 IEEE Intern. Conf. Power System Technology (POWERCON), pp. 1–6, Sep. 28 – Oct. 1, 2016, Wollongong, Australia.

  • Indoor scene reconstruction for through-the-wall radar imaging using low-rank and sparsity constraints,” Proceedings of 2016 IEEE Radar Conference (Radarcon 2016), pp. 1–4, May 2–6, 2016, Philadelphia, PA, USA.

  • Target detection in GPR data using joint low-rank and sparsity constraints,” Proc. SPIE Radar Sensor Technology XX, Vol. 9829, April 17–21, 2016, Baltimore, Maryland, USA.

  • Variational inference for infinite mixtures of sparse Gaussian processes through KL-correction,” Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2016), pp. 2579–2583, March 20–25, 2016, Shanghai, China.

  • Radar imaging of stationary indoor targets using joint low-rank and sparsity constraints,” Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2016), pp. 1412–1416, March 20–25, 2016, Shanghai, China. (Best Student Paper Award)

  • Invariant image recognition under projective deformations: an image normalization approach,” Proc. IEEE Inter. Conf. Visual Communications and Image Processing (VCIP-2015), December 13–16, 2015, Singapore.

  • Violent scene detection using a super descriptor tensor decomposition,” Proc. Inter. Conf. Digital Image Computing: Techniques and Applications, (DICTA 2015), November 23–27, 2015, Adelaide, SA, Australia.

  • Video classification based on spatial gradient and optical flow descriptors,” Proc. Inter. Conf. Digital Image Computing: Techniques and Applications, (DICTA 2015), November 23–27, 2015, Adelaide, SA, Australia.

  • Wall clutter mitigation using HOSVD in through-the-wall radar imaging with compressed sensing,” Proc. 20th Inter. Conference on Digital Signal Processing (DSP-2015), pp. 85–89, July 21–24, 2015, Singapore.

  • Depth image super-resolution using internal and external information,” Proc. IEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP 2015), pp. 1206– 1210, April 19–24, 2015, Brisbane, Australia.

  • Multi-view indoor scene reconstruction from compressed through-the-wall radar measurements using a joint Bayesian sparse representation," Proc. IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2015), pp. 2419–2423, April 19–24, 2015, Brisbane, Australia.

  • A tensor-based subspace wall clutter mitigation method for through-the-wall radar imaging," Proc. IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2015), pp. 2449–2453, April 19–24, 2015, Brisbane, Australia.

  • Multi-view TWRI scene reconstruction using a joint Bayesian sparse approximation model," Proc. SPIE Compressive Sensing IV, Vol. 9484, 20–24 April 2015 Baltimore, Maryland, USA.

  • crowd behavior recognition using dense trajectories," Proc. Inter. Conf. Digital Image Computing: Techniques and Applications, (DICTA 2014), pp. 248–254, November 25–27, 2014, Wollongong, NSW, Australia.

  • Pedestrian lane detection in unstructured environments for assistive navigation,” Proc. Inter. Conf. Digital Image Computing: Techniques and Applications, (DICTA 2014), pp. 146–153, Nov. 25–27, 2014, Wollongong, NSW, Australia. (Best Recognition Paper Prize).

  • Affine-invariant scene categorization,” Proc. IEEE Inter. Conference on Image Processing (ICIP-2014), pp. 1031–1035, October 27–30, 2014, Paris, France.

  • Lane detection in unstructured environments for autonomous navigation systems,” Proc. 12th Asian Conf. Computer Vision (ACCV2014), Nov. 1–5, Singapore.

  • Multi-polarization through-the-wall radar imaging using joint Bayesian compressed sensing,” Proc. 19th Inter. Conference on Digital Signal Processing (DSP-2014), pp. 783–788, August 20–23, 2014, Hong Kong.

  • Multi-stage compressed sensing and wall clutter mitigation for through-the-wall radar image formation,” Proc. IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM-2014), pp. 489–492, June 22–25, 2014, A Coruña, Spain.

  • Enhanced wall clutter mitigation for compressed through-the-wall radar imaging using joint Bayesian sparse signal recovery,” Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2014), pp. 7824–7828, May 4–9, 2014, Florence, Italy.

  • Depth image super-resolution using multi-dictionary sparse representation,” Proc. IEEE International Conference on Image Processing (ICIP-2013), pp. 957–961, September 15–18, 2013, Melbourne, Australia.

  • An Improved SVD-based Wall Clutter Mitigation Method for Through-the-Wall Radar Imaging,” Proc. 14th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 425–429, June 16–19, 2013, Darmstadt, Germany.

  • A Compressed Sensing Method for Complex-valued Signals with Application to Through-the-Wall Radar Imaging,” Proc. IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2013), pp. 2144–2148, May 26–31, 2013, Vancouver, Canada.

  • Enhanced through-the-wall radar imaging using Bayesian compressive sensing,” Proc. SPIE Compressive Sensing II, Vol. 8717, Article 7170I, pp. 1–12, 2013, Baltimore, Maryland, USA.

  • An image-based approach for classification of human micro-doppler radar signatures,” Proc. SPIE Active and Passive Signatures IV, Vol. 8734, Article 873406, pp. 1–12, 2013, Baltimore, Maryland, USA.

  • Eureka Prize for Outstanding Science in Support of Defence or National Security (2011)
  • The 2004 Chester Sall Award, best paper in IEEE Trans. Consumer Electronic
  • 3 student Best paper Awards
  • Awarded 15 ARC grants: 6 Discovery Projects, 2 ARC Large Grants, 1 ARC Collaborative Project, 1 Intern. Linkages, 2 ARC Networks, and 3 ARC Small grants
  • Highly Commended Supervisor for the 2012 Canon Extreme Imaging Award
  • Distinguished Researcher Fellowship (Chercheur de Haut Niveau), French Ministry of Higher Education and Research, 2001
  • Two Awards for Excellence in Research Leadership (2000 and 2002)
  • Three Awards for Excellence in Postgraduate Supervision (2000, 2002 and 2003)
  • Two Vice Chancellor Distinguished Researcher Awards (1998 and 1999)
  • Fellowship to attend CACS'92 summer school, Aix-en-Provence, France
  • Led the development of a world-first smart micro-sensor for motion Detection
  • Supervisor of Best undergraduate Honours thesis in 1995
  • CNS Fellowship, Boston University, 1990.