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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- 4 Similar Profiles
Electroencephalography
Engineering & Materials Science
Data description
Engineering & Materials Science
Authentication
Engineering & Materials Science
Support vector machines
Engineering & Materials Science
Entropy
Engineering & Materials Science
Vector quantization
Engineering & Materials Science
Experiments
Engineering & Materials Science
Intrusion detection
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2012 2018
- 4 Finished
Does the smart phone based, heart rate variability application improve the quality of life of people living with arthritis?: A pilot study
Thomas, J., Kellett, J., Ma, W., Mellor, D., Mckune, A., Isbel, S., Naumovski, N., GEORGOUSOPOULOU, E. & GEORGOUSOPOULOU, E.
1/04/17 → 1/01/18
Project: Other
Enhancing Interactions using Vision and Depth based Techniques (HDR student Stuart James Anderson)
1/04/13 → 31/03/16
Project: Other
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 2005 2019
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
Electroencephalography
Authentication
Brain
Security systems
Neurons
A Study of Combined Lossy Compression and Person Identification on EEG Signals
Nguyen, B., Ma, W. & Tran, D., 7 Jun 2018, International Joint Conference SOCO’18-CISIS’18-ICEUTE’18, San Sebastian, Spain, June 6-8 Proceedings. Grana, M., Lopez-Guede, J. M., Etxaniz, O., Herrero, A., Saez, J. A., Quintian, H. & Corchado, E. (eds.). Cham, Switzerland: Springer, Vol. 771. p. 449-458 10 p. (Advances in Intelligent Systems and Computing; vol. 771).Research output: A Conference proceeding or a Chapter in Book › Conference contribution
Electroencephalography
Identification (control systems)
Biometrics
A Study of Combined Lossy Compression and Seizure Detection on Epileptic EEG Signals
NGUYEN, T. B., MA, W. & TRAN, D., 3 Sep 2018, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2018). Howlett, R. J., Toro, C., Hicks, Y. & Jain, L. C. (eds.). Belgrade, Serbia: Elsevier, Vol. 126. p. 156-165 10 p. (Procedia Computer Science).Research output: A Conference proceeding or a Chapter in Book › Conference contribution
Open Access
File
Electroencephalography
1
Citation
(Scopus)
2
Downloads
(Pure)
Emotional Influences on Cryptographic Key Generation Systems using EEG signals
NGUYEN, D., TRAN, D., SHARMA, D. & MA, W., 3 Sep 2018, 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018. Howlett, R. J., Jain, L. C., Popovic, Z., Popovic, D., Vukosavic, S., Toro, C. & Hicks, Y. (eds.). Belgrade, Serbia: Elsevier, Vol. 126. p. 703-712 10 p. (Procedia Computer Science).Research output: A Conference proceeding or a Chapter in Book › Conference contribution
Open Access
File
Electroencephalography
Error correction
Feature extraction
Experiments
Impact of lossy data compression techniques on EEG-based pattern recognition systems
NGUYEN, T. B., MA, W. & TRAN, D., 20 Aug 2018, 2018 24th International Conference on Pattern Recognition (ICPR). Beijing, PRC: IEEE, p. 2308-2313 6 p.Research output: A Conference proceeding or a Chapter in Book › Conference contribution
Pattern recognition systems
Data compression
Electroencephalography
Experiments