
Rezaul K. Begg PhD, IEEE Senior Member
Associate Professor
Contacts
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Office: City Flinders
Campus (
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Address:
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Tel: +61 3 9919
1116
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Fax: +61 3 9919 1242
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Email: rezaul.begg@vu.edu.au
Rezaul Begg researches in Biomedical Engineering and
Biomechanics areas. The main focus of his research is to advance understanding
of locomotor control patterns in humans, and to find out how these control
patterns and dynamic balance are modified due to disease states and across the
lifespan. Various modeling, statistical and artificial intelligence approaches
(e.g., artificial neural networks, support vector machines) as well as
biomedical instrumentation are used to address these issues. He has published
over 150 research papers in these areas in Journals and Conference Proceedings.
He has also published 4 Books and 12 Book Chapters.
Research Interests
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Gait
and Movement Analysis
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Biosignal
Processing
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Computational
Intelligence
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Sensor
Technologies in Healthcare
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Biomedical
Instrumentation
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Foot
Pressure Sensors, Sensor Design
Currently a CI in the following
ARC grants
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Begg RK, Lai DTH &
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Begg
RK, Kamruzzaman J & Sarker R (editors) (2006) Neural Networks in
Healthcare: Potential and Challenges.
IGI
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Begg
RK & Palaniswami M (editors) (2006) Computational Intelligence for
Movement Sciences.
Selected
Recent Publications
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Lai D, Levinger P, Begg RK, Gilleard W & Palaniswami
M (2009) Automatic recognition of gait patterns exhibiting patellofemoral pain
syndrome using a Support Vector Machine approach. IEEE
Transactions on Information Technology in Biomedicine
13(5), 687-702.
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Lai D, Begg RK & Palaniswami M (2009)
Computational Intelligence in Gait Research: A perspective on current applications
and future challenges. IEEE Transactions on
Information Technology in Biomedicine 13(5), 810-817.
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Levinger P, Lai D,
Begg RK, Webster K & Feller J (2009) The application of Support Vector
Machines for detecting recovery from knee replacement surgery using
spatio-temporal gait parameters. Gait and Posture
29,
91-96.
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Zhang B-L, Zhang Y
and Begg RK (2009) Gait classification in children with cerebral palsy by
Bayesian approach. Pattern Recognition 42(4),
581-586.
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Sparrow WA, Begg RK & Parker S (2008)
Variability in the foot-ground clearance and step timing of young and older men
during single-task and dual-task treadmill walking. Gait
and Posture 28, 563–567.
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Khandoker AH, Taylor
S, Karmakar C, Begg RK &
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Lai D, Begg RK, Taylor S &
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Best RJ & Begg RK (2008) A method for
calculating the probability of tripping while walking. Journal
of Biomechanics 41, 1147-1151.
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Khandoker AH,
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Khandoker AH, Lai D, Begg RK &
·
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Begg RK, Best RJ, Taylor S & Dell'Oro L (2007) Minimum foot
clearance during walking: Strategies for the minimization of trip-related
falls. Gait and Posture
25, 191-198.
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Kamruzzaman J & Begg RK (2006) Support vector machines
and other approaches to the recognition of cerebral palsy gait. IEEE Transactions on Biomedical
Engineering 53(12), 2479-2490.
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Begg RK & Sparrow WA (2006) Ageing effects on knee and
ankle angles during major events and phases of the gait cycle. Journal of Medical Engineering
and Technology 30(6), 382-389.
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Begg RK (2006). Neural Network-based prediction of missing
key features in vertical GRF-time recordings. Journal of Medical Engineering and Technology 30(5), 315-322.
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Sparrow
WA, Begg RK & Park S (2006) Ageing effects on visual reaction time in a
single task condition and when treadmill walking. Motor Control, 10, 201-211.
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Begg
RK & Kamruzzaman J (2006) Artificial neural networks for movement pattern
recognition. Australasian
Physical and Engineering Sciences in Medicine 29(2), 188-195.
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Begg RK & Hassan
R (2006) Artificial neural networks in Smart Homes. In Designing Smart Homes: The Role of Artificial
Intelligence, Juan C. Augusto & Chris D. Nugent (eds), Springer,
Chapter 9, 146-164.
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Begg RK,
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Begg RK &
Kamruzzaman J (2005) A machine learning approach for automated recognition
of movement patterns using basic, kinetic and kinematic gait data. Journal of Biomechanics 8, 401-408.
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Begg RK, Lai D, Taylor S &
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Dr Daniel Lai (Sensor Technologies)
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Dr David Rouffet (Neuro-Mechanics)
Postgraduate
Research Supervision
Current Research students
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Braveena
Santhiranayagam (PhD – in progress) – Sensor technologies in activity monitoring
and interactive rehabilitation
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Hanatsu Nagano (PhD –
in progress) – Understanding foot trajectory control during locomotion
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Simon Taylor (PhD -
in progress) - Foot clearance dynamics in gait
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Amanda Johns (PhD -
in progress) – Biomechanical investigation of falling risks in the elderly
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Tuire
Karaharju-Huisman (PhD - in progress) – The probability of slipping during
walking
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Adam Larcom (MSc
- in progress) – Effect of balance training on AFL
Past Research Students
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Lisa Dell'Oro
(PhD)
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Yufriddin Wahab (PhD)
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Noel Lythgo (PhD)
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Jimmy Cai (MSc) -
ACHPER Award
·
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Subhash Basumatary
(MSc) - ACHPER Award
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Joel Martin (Hons)
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Lisa Dell'Oro (Hons)
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Simone Lewis (Hons)
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Amanda Johns (Hons)
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Kate Lynch (Hons)
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Hanatsu Nagano
(Hons)
Guest
Editor
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Special Issue on Sensors in Biomechanics and Biomedicine,
Sensors (ISSN 1424-8220) – Expected
publication 2010.
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Special Issue on Biomedical
Signal Sensing and Intelligent Information Processing, International Journal of Computational Intelligence and Applications
(IJCIA), World Scientific (September, 2008).
Journal
Reviewer
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Applied Optics
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Artificial
Intelligence in Medicine
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Experimental Brain
Research
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Gait & Posture
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Human Movement Science
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IEEE Transactions on
Biomedical Engineering
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IEEE Transactions on
Image Processing
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IEEE Transactions on
Neural Systems and Rehabilitation Engineering
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Journal of
Biomechanics
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Physiological
Measurements
CFP (ISSNIP 2010: Brisbane, Australia) - Symposium on Sensor Technologies and Information
Processing in Healthcare
Grant
Assessor
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ARC
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NH&MRC
Conferences
(Technical Program Committee, Organizing Committee, Session Chair, etc)
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IEEE Engineering in
Medicine and Biology Society (EMBS), 2005, 2006, 2007, 2008, 2009, 2010
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IEEE
World Congress on Computational Intelligence (WCCI 2008), Hong Kong, 2008.
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International
Conference on Sensor Technologies and Applications (SENSORCOMM 2008), Cap
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Falls Prevention
Conference,
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International
Conference on Intelligent Sensor, Sensor Networks & Information Processing
(ISSNIP), Melbourne
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International Conference
on Intelligent Sensor & Information Processing (ICISIP),
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International
Conference on Neural Information Processing (ICONIP)
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Internet, Processing,
Systems, and Interdisciplinary (Research) –IPSI
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International
Conference on Electrical and Computer Engineering (ICECE),
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Modelling &
Simulation Conference,
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International
Conference on Computational Intelligence and Multimedia Applications,
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Fourth Australasian
Biomechanics Conference,
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Special session on
Biomedical Diagnostics, Melbourne
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Special Session on
Biometrics,