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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Collaborations and top research areas from the last five years
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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., Sharma AM PhD, D. & 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: Research
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Investigating Epileptic Disorders and Brain-Computer Interface Systems
7/01/13 → 10/07/14
Project: Research
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Intelligent Data Mining and Information Fusion
HUANG, X., Li, S., Liao, B., MA, W., Sharma AM PhD, D. & TRAN, D.
1/07/12 → 30/06/14
Project: Research
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Real Estate Price Prediction on GenerativeLanguage Models
Zhao, Y., Chetty, G. & Tran, D., 2023, Proceedings of the 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2023. IEEE, Institute of Electrical and Electronics Engineers, p. 1-7 7 p. (Proceedings of the 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2023).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
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Deep Learning for Real Estate Trading
Zhao, Y., Chetty, G. & Tran, D., 2022, Proceedings of IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022. IEEE, Institute of Electrical and Electronics Engineers, (Proceedings of IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
4 Citations (Scopus) -
A Framework for Navigating and Enhancing the Use of Digital Assessment
Tran, T. P., Sidhu, L. & Tran, D., 21 Aug 2021, ICSET 2021 - 2021 5th International Conference on E-Society, E-Education and E-Technology. Tang, H-W. V. (ed.). United States: Association for Computing Machinery (ACM), p. 1-6 6 p. (ACM International Conference Proceeding Series).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
2 Citations (Scopus) -
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. 9308482. (2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
3 Citations (Scopus) -
Biometric recognition system performance measures for lossy compression on EEG signals
Nguyen, B., Ma, W. & Tran, D., 1 Dec 2021, In: Interest Group in Pure and Applied Logics. Logic Journal. 29, 6, p. 889–905 17 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)