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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.

Related Links

Education/Academic qualification

PhD

23 Feb 200417 Dec 2007

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Biometrics Engineering & Materials Science
Learning systems Engineering & Materials Science
Fusion reactions Engineering & Materials Science
Authentication Engineering & Materials Science
Classifiers Engineering & Materials Science
Face recognition Engineering & Materials Science
Feature extraction Engineering & Materials Science
Data mining Engineering & Materials Science

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Projects 2006 2019

Research Output 1995 2018

A Deep Learning Based Collaborative Neural Network Framework for Recommender System

Almaghrabi, M. & Chetty, G., 3 Dec 2018, Proceedings 2018 International Conference on Machine Learning and Data Engineering (iCMLDE). IEEE, Institute of Electrical and Electronics Engineers, p. 128-135 8 p.

Research output: A Conference proceeding or a Chapter in BookConference contribution

Recommender systems
Learning
Neural networks
Collaborative filtering
Artificial Intelligence

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: A Conference proceeding or a Chapter in BookConference contribution

Open Access
Sensor networks
Supply chains
Learning systems

Biomedical Named Entity Recognition Based on Hybrid Multistage CNN-RNN Learner

Phan, R., Luu, T. M., Davey, R. & Chetty, G., 3 Dec 2018, Proceedings International Conference on Machine Learning and Data Engineering (iCMLDE 2018). Rhee, P. K., Howard, D. & Bashar, R. (eds.). NJ, United States: IEEE, Institute of Electrical and Electronics Engineers, p. 128-135 8 p.

Research output: A Conference proceeding or a Chapter in BookConference contribution

RNA
DNA
Proteins
Cell Line
Research

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, p. 1-9 9 p.

Research output: A Conference proceeding or a Chapter in BookConference contribution

Recurrent neural networks
Nursing
Network architecture
Learning systems
Deep learning

Customer Life Time Value Model Framework Using Gradient Boost Trees with RANSAC Response Regularization

SINGH, L., Kaur, N. & 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, p. 1527-1534 8 p.

Research output: A Conference proceeding or a Chapter in BookConference contribution

Marketing
Taxonomies
Profitability
Mathematical models