Projects per year
Personal profile
Biography
Dr Wanli Ma received his PhD degree in Computer Science and Technology from the Australian National University, Canberra, Australia, in 2001.
He had 8 years first hand experience in running IT infrastructure, IT security operations, and digital forensic investigation before joining the Faculty of Information Sciences and Engineering in January 2004.
His research areas are of application nature and mainly concentrate on the application of machine learning and artificial intelligence techniques into cyber security, anomaly (intrusion, spam email, and virus, etc.) discovery and detection, Internet identity management, digital evidence gathering and analysis, and human biological signals.
Research interests
- Machine learning and data mining
- eHealth and IT security
- Digital forensics
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Projects
- 5 Finished
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Cyber Security Standards (ISMS) Research on Australian mining and mineral industries
Barkat Ullah, A., Ma, W. & Ahmed, M.
1/07/21 → 31/10/21
Project: Research
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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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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: Other
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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. 9308482. (2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
1 Citation (Scopus) -
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 AccessFile3 Citations (Scopus)9 Downloads (Pure) -
EEG-Based Person Authentication System in Different Brain States
Tran, N., TRAN, D., LIU, S., MA, W. & PHAM, T., 16 May 2019, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. IEEE, Institute of Electrical and Electronics Engineers, p. 1050-1053 4 p. 8716949. (International IEEE/EMBS Conference on Neural Engineering, NER; vol. 2019-March).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
4 Citations (Scopus) -
EEG-Based Person Authentication with Variational Universal Background Model
Tran, H., Tran, D., Ma, W. & Nguyen, P., 1 Jan 2019, Network and System Security - 13th International Conference, NSS 2019, Proceedings. Liu, J. K. & Huang, X. (eds.). Netherlands: Springer, p. 418-432 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11928 LNCS).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
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Investigating the effects of lossy compression on age, gender and alcoholic information in EEG signals
Nguyen, B., Ma, W. & Tran, D., 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. 231-240 10 p. (Procedia Computer Science).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
Open AccessFile2 Citations (Scopus)1 Downloads (Pure)