Girija Chetty

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.

Education/Academic qualification

PhD

23 Feb 2004 → 17 Dec 2007

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Projects

10 Finished

DataPOS Prediction Engine "Deep Kitchen

Chetty, G.

9/06/17 → 5/07/17

Project: Other

Machine learning applied to large collections of medical images

Chetty, G.

CSIRO

18/07/16 → 31/07/19

Project: Other

Using big data-driven approaches for improved population health

Davey, R., Chetty, G. & Hanlen, L.

16/12/15 → 30/12/16

Project: Other

eLiving Lab (Schedule # 3 under the Umbrella Agreement - 2011000120)

Waddington, G., Chetty, G., Davey, R., Hanlen, L., Scarvell, J., D, S. & Tran, D.

NICTA

28/02/14 → 28/02/17

Project: Other

Multimodal Brain Image Analysis for Early Detection and Monitoring of Mental Health Disorders

Chetty, G. & White, M.

Infinity Imaging Research & Development Pty Ltd

1/02/14 → 31/12/17

Project: Other

Research Output

123 Conference contribution
22 Article
7 Chapter
4 Paper

Genetic algorithms for the travelling salesman problem: a crossover comparison

Alqura'N Alzyadat, T., Yamin, M. & Chetty, G., Mar 2020, In : International Journal of Information Technology . 12, 1, p. 209-213 5 p.

Research output: Contribution to journal › Article

A Deep Learning Based Collaborative Neural Network Framework for Recommender System

Almaghrabi, M. & Chetty, G., 15 Jan 2019, Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018. Howard, D., Bashar, M. R. & Rhee, P. K. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 128-135 8 p. 8614014. (Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution

Automatic brain image analysis based on multimodal deep learning scheme

Chetty, G., Singh, M. & White, M., 2 Dec 2019, Proceedings - 2019 International Conference on Machine Learning and Data Engineering (iCMLDE 2019). Rhee, P. K., Hwa, K-Y., Pai, T-W., Howard, D. & Bashar, R. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 97-100 4 p. 8995755. (Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2019).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution

Deep learning based spam detection system

Chetty, G., Bui, H. & White, M., 2 Dec 2019, Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2019. Rhee, P. K., Hwa, K-Y., Pai, T-W., Howard, D. & Bashar, R. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 91-96 6 p. 8995757. (Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2019).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution

Deep Learning with XGBoost for Real Estate Appraisal

Zhao, Y., Chetty, G. & Tran, D., 6 Dec 2019, 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1396-1401 6 p. 9002790. (2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution