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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

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Projects 2006 2018

Research Output 2005 2017

File
Decision Tree
Compression
Entropy
Experiment
1 Citations

Investigating the Impact of Epilepsy on EEG-based Cryptographic Key Generation Systems

Nguyen, D., Tran, D., Sharma, D. & Ma, W. 1 Sep 2017 Procedia Computer Science: International Conference on Knowledge Based and Intelligent Information and ENgineering Systems (KES 2017). 2017 ed. Netherlands: Elsevier, Vol. 112, p. 177-185 9 p. (Procedia Computer Science)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Electroencephalography
Error correction
Brain
Experiments
1 Citations

On the Study of EEG-based Cryptographic Key Generation

Nguyen, D., Tran, D., Sharma, D. & Ma, W. 1 Sep 2017 Procedia Computer Science: International Conference on Kno wledge Based and Intelligent Information and Engineering Systems (KES2017). Marseille, France: Elsevier, Vol. 112, p. 936-945 10 p. (Procedia Computer Science)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Biometrics
Electroencephalography
Data mining
Bioelectric potentials
Security systems
Open Access
File
Watermarking
Data mining
Time series
Electroencephalography
Electrocardiography
3 Citations

Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compression

NGUYEN, T. B., Nguyen, D., Ma, W. & Tran, D. 14 May 2017 2017 International Joint Conference on Neural Networks (IJCNN 2017) - Proceedings. Anchorage, USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3153-3160 8 p. 7966249

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electroencephalography
Wavelet transforms
Brain computer interface
Security systems
Authentication