Dr. Rabab Kreidieh
Electrical and Computer Engineering
FRSC , FIEEE , FCAE , FEIC
Dr. Rabab K. Ward is a Professor emerita in the Electrical and
Computer Engineering Department at the University of British Columbia ( UBC), Canada. She is presently the President Elect
of the IEEE Signal Processing Society .
She is Fellow of the Royal Society of Canada, the Institute of
Electrical and Electronics Engineers, the Canadian Academy of Engineers
and the Engineering Institute of Canada. She has received the Career
Achievement Award of CUFA, BC, the organization representing all
professors and academic staff at BC's doctoral universities (2011), UBC
Engineering Co-op Faculty Member of the Year Award (2010), the IEEE
Signal Processing Society top award "The Society Award" (2008),
as well as the Society's "Meritorious Service Award" (2013),
the YWCA Woman of Distinction Award (2008), British Columbia's top
engineering award "The RA McLachlan Memorial Award" (2006) and
UBC Killam Research Prize (1998).
Dr Ward's research interests are mainly in
the areas of signal, image and video processing. She has made
contributions in the areas of signal detection, image encoding,
compression, recognition, restoration and enhancement, and their
applications to cable TV, HDTV, medical images, infant cry signals and
brain computer interfaces . She has published
over 160 refereed journal papers, 300 refereed conference articles and holds
six patents related to cable television picture monitoring, measurement
and noise reduction. Applications of her work have been transferred to
U.S. and Canadian industries. She is the inventor of the non-intrusive
measurement methods for cable TV video impairments (licensed to
Hewlett-Packard) and co-inventor of a non-interfering video system for
measuring size and biomass of fish in cages and Tanks (licensed to J. B.
Thompson and Associates).
She was the Vice President of the IEEE Signal Processing Society (2003
- 2005) and a member of the Society's Board of Governors(
2003-2005 and 2008-2010). She was the General Chair of the IEEE
International Conference on Image Processing 2000, the Vice Chair of the
IEEE International Symposium on Circuits & Systems 2004, Chair of the
IEEE Symposium on Signal Processing and Information Technology 2006,
Chair of IEEE Workshop on Multimedia and Signal Processing 2012, and the
co-chair of IEEE ICASSP 2013.
She was the Principal Investigator of the $22.2 million CFI/BCKDF award
which resulted in a new building at UBC that houses the most modern
equipment in all areas related to human centered technologies
You can download my CV here.
Developing asynchronous Brain
Computer Interface systems: The ultimate aim is to
use the EEG as a direct communication channel from the brain of a person
with severe motor disabilities to the real world. This is achieved by
analyzing a person's EEG signal to detect whether or not it contains an
activity relating to the person's intention to control his/her
environment or a device.
Fast Magnetic Resonance Imaging: Magnetic
Resonance Imaging (MRI) is a versatile medical imaging modality. It can
produce very high quality images without any biological side-effects.
However it is a slow imaging modality. There has been physics (hardware)
based and signal processing (software) based acceleration techniques to
speed-up MR acquisition times. Our research is driven by recent advances
in Compressed Sensing. We intend to speed-up data acquisition times, by
collecting less data (than required by traditional MRI techniques) and
reconstructing the image by using smart Compressed Sensing algorithms. In
particular we focus on the following areas on MR Imaging:
o Single slice MR imaging from single and multiple K-space scans.
o Quantitative MR imaging.
o Combining signal processing and physics
based techniques for parallel MRI.
o Dynamic MRI.
Content based multimedia
project addresses copy detection and copyright protection in multimedia
sharing websites. The aim is to develop algorithms that can identify
whether a query video (or part of it) has been copied form an existing
video in a large database of videos . The
approach used is called fingerprinting .
Fingerprinting extracts from a video, compact signatures that should uniquely identify this video or any
distorted versions of it. The main two challenges in video fingerprinting
are the design of the fingerprinting algorithm and the search algorithm
that can identify a certain fingerprint in a huge database of
fingerprints in a correct and fast fashion .
Information hiding and quality monitoring using
watermarking: Data hiding is usually used in secret communication
between two parties. Towards this aim, a binary secret message is
imperceptibly inserted into the content. For example, this message could
be the identification number of the content owner. At the receiver side,
the hidden information should be extracted as accurately as possible.
Watermarking has also been adopted as a technique to provide a blind
measure of the quality of service (QoS) in
multimedia communications. In such applications, the watermark is
embedded into the original image at the transmitter side. The image
quality is estimated at the receiver side by extracting the watermark
from the received image and comparing it with the original watermark.
Human activity recognition in real videos: This
project aims at recognizing human action under occlusion, scale and
viewpoint changes. The task is highly challenging as we work on real
world videos collected from Youtube, movies, TV
Digital image interpolation:
Digital image interpolation is also known as image enlargement
/reduction has many application in the advertising industry, digital
cameras, video compression etc. Content-adaptive and Wavelet-based image
interpolation techniques are developed. Efforts are also directed to
finding efficient methods for edge enhancement, removing edge zigzagging
and solving the loss of contrast after image enlargement.
Reversible integer-to-integer wavelet/subband transforms in the context of JPEG-2000
complete list of publications, please refer to my publication
N., Ebne-Alian, M., Medina, O., Charbonneau,
L., Dhot, T., Ward, R., and Rouleau,
G., "Evolution of Image Secgementation
Programs for Automated Processing of Microscopic Images of Cells in
Culture", IEEE Trans. Evolutionary Compuation,
(submitted September 2013).
Fu, H., Xu, D.,
Zhang, B., Lin, S., and Ward, R. K. "Object-based Multiple
Foreground Video Co-segmentation via Multi-state Selection Graph,"
IEEE Trans on Image Processing, (under revision).
T., Nezhadarya, E., and Ward, R. K.,
"Sparse Representation-based Image Quality Assessment", Signal
Processing: Image Communication, (Accepted for publication, October
Majumdar, A., and
Ward, R. K., " Exploiting Sparsity and Rank Deficiency for MR Image
Reconstruction from Multiple Partial K-Space Scans", Canadian
Journal of Electrical and Computer Engineering, Vol. 37(4), pp. 228-235,
E. and Ward, R. K., "Multiscale Derivative Transform and Its
Application to Image Watermarking", Elsevier Digital Signal
Processing, Vol. 33, pp. 148-155, 2014.
T., and Ward, R.K., "Image Similarity Using Sparse Representation
and Compression Distance", IEEE Transactions on Multimedia, Vol. 16
(4), pp. 980-987, 2014.
Chen, X., Liu, A.,
Peng, H., and Ward, R., "A Preliminary Study of Muscular Artifact
Cancellation in Single-Channel EEG", Sensors, 14(10), pp.
Majumdar, A., Anupriya, G., and Ward, R. K., "A Low-Rank
Matrix Recovery Approach for Energy Efficient EEG Acquisition for a
Wireless Body Area Network", Sensors, Vol. 14(9), pp. 15729-15748,
Majumdar, A., and
Ward, R. K., "Non-convex row-sparse multiple measurement vector
analysis prior formulation for EEG signal reconstruction",
Biomedical Signal Processing and Control, Vol. 13, pp. 142-147, 2014.
E., Ward R. K., and Blake, I. F., "Performance analysis of RFID
protocols: CDMA vs. the standard EPC Gen2," IEEE Transactions on
Automation Sciences and Engineering, Vol. PP(9),
pp. 1-12, January 2014.
F., MacAulay, C., Guillaud, M., Lane, P., Carraro, A., Ward, R., and McKenna, J.,
"Fluorescence confocal microscopy for detection of cervical preneoplastic lesions", 2015 SPIE Medical
Imaging Symposium, 21 - 26 February 2015, Orlando, Florida United States.
Majumdar, A., Shukla,
A. and Ward, R., "Combining Sparsity with Rank-Deficiency for Energy
Efficient EEG Sensing and Transmission over Wireless Body Area
Network", IEEE Int. Conf. on Acoustics, Speech, and Signal Processing
(ICASSP), Brisbane, Australia, April 2015 (submitted).
Majumdar, A., and
Ward, R., "Learning the Sparsity Basis in Low-rank plus Sparse Model
for Dynamic MRI Reconstruction", IEEE Int. Conf. on Acoustics,
Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 2015
Majumdar, A., and
Ward, R., "Improved Blind Compressed Sensing for Dynamic MRI
Reconstruction", Magnetic Resonance Imaging, Abstracts pp. 4381, 22( 2014).
Ward, R. and
Majumdar, A., "Exploiting Sparsity and Rank-deficiency in Dynamic CT
Reconstruction", IEEE Medcom 2014, 7th to
8th November, Greater Nodia, India.
Majumdar, A., and
Ward, R., "Fast SVD Free Low-rank Matrix Recovery: Application to
Dynamic MRI Reconstruction", IEEE Medcom
2014, 7th to 8th November, Greater Nodia,
Palangi, H., Deng,
L., and Ward, R. K., "Recurrent deep-stacking networks for sequence
classification", 2nd IEEE China Summit & International
Conference on Signal and Information Processing, pp. 510 â€“ 514, Xiâ€™an, China 9-13 July 2014.
Majumdar, A., and
Ward, R. K., "Improved MRI Reconstruction via Non-Convex Elastic
Net", IEEE Int. Conf. on Acoustics, Speech, and Signal Processing
(ICASSP), Florence, Italy, May 2014 (accepted).
T., and Ward, R. K., "Learning Sparse Models for Image Quality
Assessment", IEEE Int. Conf. on Acoustics, Speech, and Signal
Processing (ICASSP), pp. 151- 154, Florence, Italy, May 2014.