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Personal profile

Biography

Dr. Girija Chetty has a Bachelors and Masters degree in Electrical Engineering and Computer Science from India, and PhD in Information Sciences and Engineering from Australia. She has more than 30 years of experience in Industry, Research and Teaching from Universities and Research and Development Organisations from India and Australia, and has held several leadership positions including Head of Software Engineering and Computer Science, and Course Director for Master of Computing (Mainframe) Course. Currently, she is Program Director (IT) and an Associate Professor in School of Information Technology and Systems, and Head of the Multimodal Systems and Information Fusion Group in University of Canberra, Australia, and leads a research group with several PhD students, Post Docs, research assistants and regular International and National visiting researchers. She is a Senior Member of IEEE, USA, and senior member of Australian Computer Society, and her research interests are in the area of multimodal systems, computer vision, pattern recognition, data mining, and medical image computing. She has published extensively with more than 200 fully refereed publications in several invited book chapters, edited books, high quality conference and journals, and she is in the editorial boards, technical review committees and regular reviewer for several IEEE, Elsevier and IET journals in the area related to her research interests. She is highly interested in seeking wide and interdisciplinary collaborations, research scholars and visitors in her research group.

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Education/Academic qualification

PhD, University of Canberra

23 Feb 200417 Dec 2007

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Projects 2006 2019

Research Output 2004 2018

A Virtual Sensor Network Framework for Vehicle Quality Evaluation

ALWADI, MD., CHETTY, G. & YAMIN, M. 15 Mar 2018 12th INDIACom-2018; 2018 5th International Conference on Computing for Sustainable Global Development. Hoda, M. V. (ed.). New Delhi, India: BVICAM, p. 1416-1420 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Sensor networks
Supply chains
Learning systems

Clinical Name Entity Recognition Based on Recurrent Neural Networks

LUU, T. M., PHAN, R., DAVEY, R. & CHETTY, G. 2 Jul 2018 Proceedings 2018 18th International Conference on Computational Science and Applications (ICCSA). Melbourne, VIC, Australia: IEEE, Institute of Electrical and Electronics Engineers, 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Nursing
Network architecture
Learning systems
Deep learning

Lifting Wavelet Transform based Fast Watermarking of Video Summaries using Extreme Learning Machine

Mishra, A., Agarwal, C. & CHETTY, G. 8 Jul 2018 Proceedings 2018 International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil: IEEE, Institute of Electrical and Electronics Engineers, p. 1-7 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Watermarking
Wavelet transforms
Learning systems
Feedforward neural networks
Signal processing

Neuro Fuzzy Architecture for Gray Scale Image Watermarking using Fractal Dimensions

Mishra, A., Sehra, K. & CHETTY, G. 8 Jul 2018 Proceedings 2018 International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil, Brazil: IEEE, Institute of Electrical and Electronics Engineers, 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image watermarking
Fractal dimension
Feedforward neural networks
Fuzzy inference
Fractals

A distributed smart fusion framework based on hard and soft sensors

CHETTY, G. & Yamin, M. 2017 In : International Journal of Information Technology . 9, 1, p. 19-31 13 p.

Research output: Contribution to journalArticle