Section: Overview
Overview
Key publications
Research funding
Supervising & teaching
Career

Key details

Areas of expertise

  • Artificial Intelligence and its application to power systems
  • Big data analytics
  • Cyber security
  • Data mining

Available to supervise research students

Not available for media queries

About Hua Wang

Hua Wang carries out research on machine learning and data analysis, with a particular focus on data mining, artificial intelligence, deep learning, big data, privacy preserving, access control and cyber security. Hua is now a full time professor in the Institute for Sustainable Industries and Liveable Cities (ISILC) at Victoria University.  As a Chief Investigator, Hua has successfully received six Australian Research Council (ARC) grants including four discovery grants and two linkage grants with $3.1M since 2006. He is also a successor for international grants such as two grants from Japan Society for the Promotion of Science (JSPS), one German–Australian grant (DAAD), one Norwegian government grant, three grants from Hong Kong and two from China.

Hua has published 312 refereed scholar papers, including 81 Q1 (ERA2018 ranked) Journal papers in machine learning, cyber security, Artificial Intelligence, privacy preserving and data analysis. Representative publications are on:

  • ACM Transactions on Internet Technology
  • ACM Transactions on Information Systems
  • ACM Transactions on Knowledge Discovery from Data
  • IEEE Transactions on Dependable and Secure Computing
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Automation Science and Engineering
  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Services Computing
  • Proceedings of ACL, AAAI, CIKM, ICDE, ICDM and PAKDD.

Hua's h-index is 43 based on Google Scholar website. As a principal supervisor, he currently has 14 PhD students at VU.

Hua has been appointed as a College of Expert by the ARC since 2021, and has already been an ARC reviewer since 2009. He reviews various proposals each year for ARC DP, LP, DECRA, LIEF. Hua is Editor-in-Chief, Featured Journals, European Alliance for Innovation (EAI) Transactions on Scalable Information Systems, and also editor for PLOS ONE and World Wide Web Journal, Springer. He is involved in many prestigious international conferences such as PC members (AAAI2019, IJCAR2019) and chairs for the International Conference on Web Information Systems Engineering (WISE) 2015-2018.

Hua is the discipline leader of technology in engineering and science at VU, and a director of Oceania Cyber Security Centre (OCSC) consisting of eight Victorian universities with substantial support from the Victorian government, with engagement of industry. He is working as a committee member for:

  • IEEE Blockchain Standards group
  • IEEE COMSOC Project 1912 Privacy and Security Architecture for Consumer Wireless Devices Working Group
  • Japan Society for the Promotion of Science Alumni Association in Australia (JSPSAAA)
  • Data61 University Planning Committee.

Hua sat on the Research and Research Training Committee at VU for two years.

Qualifications

  • PhD in Computer Science, University of Southern Queensland, Australia, 2004

Key publications

Year Citation
2022 Ge, Y. F., Orlowska, M., Cao, J., Wang, H., & Zhang, Y. (220101). MDDE: multitasking distributed differential evolution for privacy-preserving database fragmentation Paper presented at VLDB Journal.

doi: 10.1007/s00778-021-00718-w

Year Citation
2022 Alvi, A. M., Siuly, S., Wang, H., Wang, K., & Whittaker, F. (220701). A deep learning based framework for diagnosis of mild cognitive impairment. Knowledge-Based Systems, 248 (108815-108815).

doi: 10.1016/j.knosys.2022.108815

2022 Yin, J., Tang, M. J., Cao, J., Wang, H., & You, M. (220201). A real-time dynamic concept adaptive learning algorithm for exploitability prediction. Neurocomputing, 472 (252-265).

doi: 10.1016/j.neucom.2021.01.144

2022 Ghimire, S., Deo, R. C., Wang, H., Al-Musaylh, M. S., Casillas-Perez, D., & Salcedo-Sanz, S. (220201). Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results. Energies, 15(3),

doi: 10.3390/en15031061

2022 Xiao, L., Xue, Y., Wang, H., Hu, X., Gu, D., & Zhu, Y. (220130). Exploring fine-grained syntactic information for aspect-based sentiment classification with dual graph neural networks. Neurocomputing, 471 (48-59).

doi: 10.1016/j.neucom.2021.10.091

2022 Li, J. Y., Du, K. J., Zhan, Z. H., Wang, H., & Zhang, J. (220101). Distributed Differential Evolution With Adaptive Resource Allocation. IEEE Transactions on Cybernetics,

doi: 10.1109/TCYB.2022.3153964

2022 Yin, J., Tang, M. J., Cao, J., Wang, H., You, M., & Lin, Y. (220101). Vulnerability exploitation time prediction: an integrated framework for dynamic imbalanced learning. World Wide Web, 25(1), (401-423).

doi: 10.1007/s11280-021-00909-z

2022 Huang, T., Gong, Y. J., Chen, W. N., Wang, H., & Zhang, J. (220101). A Probabilistic Niching Evolutionary Computation Framework Based on Binary Space Partitioning. IEEE Transactions on Cybernetics, 52(1), (51-64).

doi: 10.1109/TCYB.2020.2972907

2022 Zhang, Y., Al-Fuqaha, A., Fortino, G., Peng, L., Humar, I., & Wang, H. (220101). Guest Editorial: Introduction to the Special Section on Advanced Networking Technologies in the Battle Against the Outbreak of Epidemic Diseases. IEEE Transactions on Network Science and Engineering, 9(1), (245-246).

doi: 10.1109/TNSE.2021.3134379

2022 Sarki, R., Ahmed, K., Wang, H., Zhang, Y., & Wang, K. (220101). Automated detection of COVID-19 through convolutional neural network using chest x-ray images. PLoS ONE, 17(1 January),

doi: 10.1371/journal.pone.0262052

Research funding for the past 5 years

Please note:

  • Funding is ordered by the year the project commenced and may continue over several years.
  • Funding amounts for contact research are not disclosed to maintain commercial confidentiality.
  • The order of investigators is not indicative of the role they played in the research project.

Privacy preserving and data utility in outsourced systems
From: Australian Research Council - Discovery Project
For period: 2022-2024
$465,000

Digital transformation of construction industry for improved quality and safety
From: Victorian Higher Education Strategic Investment Fund
Other investigators: Prof Zora Vrcelj, Prof Yuan Miao, Dr Malindu Sandanayake, Dr Ayad Turky, Dr Hing-wah Chau
For period: 2021-2022
$1,249,911

Preventing Sensitive Data Exfiltration from Insiders
From: Australian Research Council - Discovery Project, Victoria University
For period: 2020-2022
$600,000

Strategic Transport Modelling Development; Exploration of Representation of Planned Disruptions in Forecast Modelling
From: APR Intern
For period: 2019-2020
Not disclosed
Project Jigsaw
From: NEM Australasia
Other investigators: Dr Joanne Pyke, Dr Xiaocui Lou, Prof Terry De lacy, Dr Khandakar Ahmed
For period: 2019-2019
$6,132
The Impact of Planned Special Events (PSEs) on Urban Traffic Congestion
From: Data61 - CSIRO
For period: 2019-2021
$75,192
Business Processing Modelling, Information Management & Data Analytics
From: APR Intern
For period: 2019-2019
Not disclosed
Data Utility and Private Data Protection in Outsourced Environments
From: VU Internal Funding, Bistone
For period: 2019-2019
Not disclosed

Deep Mining Neurological Abnormalities from Brain Signal Data
From: ARC - Linkage
Other investigators: Prof Yanchun Zhang
For period: 2018-2021
$371,662
Increasing data quality with group associations in outsourcing environment
From: Australian Research Council - Discovery Project, College of Engineering and Science, PVC (Research and Research Training)
Other investigators: Prof Yanchun Zhang
For period: 2018-2021
$754,989

A model for decision-making in team sport complex systems: Using analytics to explain what humans can't!
From: CHAMPION DATA PTY LTD, ISEAL, VU Internal Funding
Other investigators: Prof Samuel Robertson, Dr Damian Farrow
For period: 2017-2018
$96,172

Privacy preserving data sharing in electronic health environment
From: Nexus Grant, PVC (Research and Research Training), ARC - Linkage
Other investigators: Prof Yanchun Zhang, Prof Yuan Miao
For period: 2016-2019
$589,808

Supervision of research students at VU

Available to supervise research students

Not available for media queries

Currently supervised research students at VU

No. of students Study level Role
5 PhD Associate supervisor
7 PhD Principal supervisor
1 Masters by Research Principal supervisor
3 PhD Integrated Principal supervisor
1 PhD Integrated Associate supervisor
5 Master of Research Principal supervisor
1 Master of Research Practice Principal supervisor

Currently supervised research students at VU

Students & level Role
PhD (5) Associate supervisor
PhD (7) Principal supervisor
Masters by Research (1) Principal supervisor
PhD Integrated (3) Principal supervisor
PhD Integrated (1) Associate supervisor
Master of Research (5) Principal supervisor
Master of Research Practice (1) Principal supervisor

Completed supervision of research students at VU

No. of students Study level Role
9 PhD Principal supervisor
4 PhD Associate supervisor
1 Masters by Research Principal supervisor
1 Masters by Research Associate supervisor
1 PhD Integrated Associate supervisor

Completed supervision of research students at VU

Students & level Role
PhD (9) Principal supervisor
PhD (4) Associate supervisor
Masters by Research (1) Principal supervisor
Masters by Research (1) Associate supervisor
PhD Integrated (1) Associate supervisor

Other supervision of research students

Hua is currently supervising PhD students at USQ.

Teaching activities & experience

Hua has taught units from undergraduate students to masters students at both VU and USQ.

Careers

Details of this Researcher's career are currently unavailable.