Projects per year
Personal profile
Biography
Dr Dat Tran is an Associate Professor in the Information Technology & Engineering academic program. He is Head of the Computational Intelligence, Knowledge and Data Mining (CIKADA) research cluster.
Dr Tran received his B.Sc. and M.Sc. degrees from University of Science, Vietnam, in 1984 and 1994, respectively. He received his Graduate Diploma in Information Sciences and Ph.D. degree in Information Sciences & Engineering from University of Canberra, Australia in 1996 and 2001, respectively. He was an IBM intern in Pen Technologies Group, IBM T. J. Watson Research, Yorktown Heights, New York, USA from June 2000 to September 2000.
He has served as reviewer for IEEE Transaction on Fuzzy Systems, IEEE Transaction on Systems, Man and Cybernetics Part B, IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition, Pattern Recognition Letters, Physica and Bioinformatics journals. He has also served as Conference Chair, Session Chair and member of Program Committee for some international conferences.
Dr Tran focuses on learning and classification algorithms and applications for people with disability. He has published over 100 peer-reviewed research papers to date and is an experienced research student supervisor. He is a senior member of the IEEE.
Research interests
- Pattern recognition and data mining
- Machine learning and computational intelligence
- Brain-computer interfaces and robotics
- Natural language processing
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Projects
- 8 Finished
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eLiving Lab (Schedule # 3 under the Umbrella Agreement - 2011000120)
Waddington, G., Chetty, G., Davey, R., Hanlen, L., Scarvell, J., D, S. & Tran, D.
28/02/14 → 28/02/17
Project: Other
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Enhancing Interactions using Vision and Depth based Techniques (HDR student Stuart James Anderson)
1/04/13 → 31/03/16
Project: Other
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Investigating Epileptic Disorders and Brain-Computer Interface Systems
7/01/13 → 10/07/14
Project: Other
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Intelligent Data Mining and Information Fusion
Huang, X., Li, S., Liao, B., Ma, W., D, S. & Tran, D.
Australia-China Science and Research Fund
1/07/12 → 30/06/14
Project: Other
Research Output
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Application of Deep Learning in Automated Meal Recognition
Mao, J., Tran, D., Ma, W., Naumovski, N., Kellett, J., martinez-marroquin, E. & Slattery, A., 5 Jan 2021, 2020 IEEE Symposium Series on Computational Intelligence (SSCI). Abbass, H., Coello Coello, C. A. & Singh, H. K. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 58-63 6 p.Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
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Improving SVM Classification on Imbalanced Datasets for EEG-Based Person Authentication
Tran, N., Tran, D., Liu, S., Trinh, L. & Pham, T., 1 Jan 2020, International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019). CISIS 2019, ICEUTE 2019. Sáez Muñoz, J. A., Corchado, E., Martínez Álvarez, F., Troncoso Lora, A. & Quintián, H. (eds.). Switzerland: Springer, p. 57-66 10 p. (Advances in Intelligent Systems and Computing; vol. 951).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
1 Citation (Scopus) -
Mathematics teaching pedagogies to tertiary engineering and information technology students: a literature review
Albeshree, F., Al-Manasia, M., Lemckert, C., Liu, S. & Tran, D., 2020, In: International Journal of Mathematical Education in Science and Technology. p. 1-21 21 p.Research output: Contribution to journal › Article › peer-review
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Deep learning approach to biogeographical ancestry inference
Qu, Y., Tran, D. & Ma, W., 2019, 23rd KES International Conference on Knowledge-Based and Intelligent Information & Engineering Systems KES2019. Rudas, I. J., Janos, C., Toro, C., Botzheim, J., Howlett, R. J. & Jain, L. C. (eds.). Netherlands: Elsevier, Vol. 159. p. 552-561 10 p. (Procedia Computer Science).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
Open AccessFile1 Citation (Scopus)1 Downloads (Pure) -
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 › peer-review