Professor Begg's main fields of research include Biomechanics, Biomedical Engineering and Machine Learning.
Prior to commencing at Victoria University, he worked at Deakin University, the University of Aberdeen and BUET. At Victoria University, he leads a multidisciplinary team of 15 researchers including postgraduates and postdoctoral fellows.
His work focusses on developing new technologies and techniques with applications to human gait pathologies. These techniques have been utilised to minimize balance-loss and falls which can result from tripping or slipping across a range of populations.
His current projects include:
- Applications of sensor technologies and biofeedback techniques to gait problem diagnosis.
- Interventions to improve gait function in older adults and patients with stroke or diabetic neuropathy.
- Assistive technologies for enhancing physical and physiological performance.
Prof. Begg is a senior member of the IEEE professional society, IEEE Engineering in Medicine and Biology Society (EMBS), and IEEE Computational Intelligence Society (CIS).
He has contributed to organizing over 20 international conferences.
Professor Begg has published 70 journal articles, 1 research monograph, 4 edited books, 17 book chapters, 105 refereed conference full papers, 36 conference abstracts and 3 technical reports.
Recent selected publications:
- Wahid MF, Begg RK, Webster K, McClelland J, Halgamuge S, Ackland DA (2016). A Multiple Regression Normalization Approach to Evaluation of Gait in Total Knee in Total Knee Arthroplasty Patients. Clinical Biomechanics, 32: 92–101.
- Khandoker A, Sparrow WA, Begg RK (2016). Tone Entropy Analysis of Augmented Information Effects on Toe-Ground Clearance When Walking. IEEE Transactions on Neural Systems and Rehabilitation Engineering, published online 1/4/2016.
- Ewing K, Begg RK, Galea M, Lee P (2016). The Effects of Prophylactic Knee Bracing on Lower-limb Kinematics, Kinetics, and Energetics during Double-leg Drop Landing at Two Heights. The American Journal of Sports Medicine, 44(7):1753-1761.
- Santhiranayagam B, Lai D, Sparrow WA, Begg RK (2015). A Machine Learning Approach to Estimate Minimum Toe Clearance using Inertial Measurement Units. Journal of Biomechanics, 48 (16): 4309-4316.
- Nagano H, Sparrow WA, Begg RK (2015). Can Toe-Ground Footwear Margin Alter Swing-Foot Ground Clearance? Gait and Posture, 42(2): 214–217.
Over 10 international conferences.
Postgraduate research students and fellows
- Supervised: 5 postdoctoral research fellows, 8 PhD, 4 Masters by research and 6 Honours students
- Current supervision: 3 postdoctoral research fellows and 7 PhD students
- Australian Research Council (ARC) $1,500,000
- Australian Research Council (ARC) small $9,000
- Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) ARC Research Network $80,000
- Asics Oceania Ltd $12,000
- Defence Science and Technology (DST) Group $412,000
- Global Safe Australia $9,000
- Flooring companies $22,000
- National Health and Medical Research Council (NHMRC) Project $587,000
- VU Internal grants (multiple) $118,000
- VU infrastructure grant $200,000
Other major research achievements
- Associate Editor, IEEE EMBS – Theme Area - Biomechanics and Biorobotics
- Assessor for national (ARC, NHMRC) and international grant applications (NSERC, Canada; NRF, Denmark; NRF, South Africa)
- Journal editorial board member – Journal of Biomechanics, Sensors
- Regular reviewer for over 10 international journals
- College of Sport & Exercise Science
- Institute of Sport, Exercise and Active Living (ISEAL)
- Research Group Leader - Gait, Balance & Falls
Areas of expertise
- Assistive technologies
- bio-signal processing
- Biomedical engineering; sensor technologies in healthcare
- Gait biomechanics
- gait changes due to ageing and diseases
- machine learning techniques
- Trips; slips and falls biomechanics