| Year | Citation |
|---|---|
| 2024 | Zhang, X., Zhang, G., Qiu, X., Yin, J., Tan, W., Yin, X., Yang, H., Wang, H., & Zhang, Y. (241201). Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes. Biomarker Research, 12(1), |
| 2024 |
Yin, J., Hong, W., Wang, H., Cao, J., Miao, Y., & Zhang, Y. (240731). A Compact Vulnerability Knowledge Graph for Risk Assessment. ACM Transactions on Knowledge Discovery from Data, 18(8), doi: 10.1145/3671005 |
| 2024 | You, M., Ge, Y. F., Wang, K., Wang, H., Cao, J., & Kambourakis, G. (240701). Hierarchical adaptive evolution framework for privacy-preserving data publishing. World Wide Web, 27(4), |
| 2024 | Yin, J., Chen, G., Hong, W., Cao, J., Wang, H., & Miao, Y. (240701). A heterogeneous graph-based semi-supervised learning framework for access control decision-making. World Wide Web, 27(4), |
| 2024 | Siuly, S., Khare, S. K., Kabir, E., Sadiq, M. T., & Wang, H. (240501). An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network. Computers in Biology and Medicine, 174 |
| 2024 |
Nowrozy, R., Ahmed, K., Kayes, A. SM., Wang, H., & McIntosh, T. R. (240426). Privacy Preservation of Electronic Health Records in the Modern Era: A Systematic Survey. ACM Computing Surveys, 56(8), doi: 10.1145/3653297 |
| 2024 | Siuly, S., Alcin, O. F., Wang, H., Li, Y., & Wen, P. (240401). Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease. IEEE Transactions on Emerging Topics in Computational Intelligence, 8(2), (1609-1623). |
| 2024 | Wang, C., Sun, B., Du, K. J., Li, J. Y., Zhan, Z. H., Jeon, S. W., Wang, H., & Zhang, J. (240301). A Novel Evolutionary Algorithm with Column and Sub-Block Local Search for Sudoku Puzzles. IEEE Transactions on Games, 16(1), (162-172). |
| 2024 | Zhang, X., Zhang, G., Qiu, X., Yin, J., Tan, W., Yin, X., Yang, H., Wang, H., & Zhang, Y. (240201). Non-invasive decision support for clinical treatment of non-small cell lung cancer using a multiscale radiomics approach. Radiotherapy and Oncology, 191 |
Key details
Areas of expertise
- Artificial intelligence & 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
Hua has over 457 publications, with a selection listed here.
A more comprehensive list of Hua's publications is available in the VU Research Repository.
Conference paper (showing 1)
| Year | Citation |
|---|---|
| 2024 | Ge, Y. -F., Wang, H., Cao, J., Zhang, Y., & Kambourakis, G. (240714). Federated Genetic Algorithm: Two-Layer Privacy-Preserving Trajectory Data Publishing Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference (pp. 749-758). ACM. |
Journal article (showing 9 of 197)
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.
2024
|
Differential Evolution Framework for Intelligent Charging Scheduling
From: Australian Research Council - Discovery Project
Other investigators: Mast Yongfeng Ge, Dr Kate Wang
For period: 2024-2026
|
$630,000 |
|
Personalised Privacy-Preserving Network Data Publishing System
From: ARC - Linkage, Victoria University
For period: 2024-2026
|
$654,468 |
2023
|
Economic sustainability of
carpet mass personalisation through niche technology innovation (PhD research
internship collaboration - APR.Intern / Tufting Technology Pty Ltd (Hakeem
Quadri)
From: Tufting Technology Pty Ltd
For period: 2023-2023
|
$19,000 |
2022
|
Privacy preserving and data utility in outsourced systems
From: Australian Research Council - Discovery Project
For period: 2022-2024
|
$465,000 |
2021
|
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 Le Li, Mr Nima Izadyar, Dr Hongen Lu, Mrs Shuo Chen, Dr Melissa Chan, Dr Hing-wah Chau
For period: 2021-2022
|
$1,249,911 |
2020
|
Preventing Sensitive Data Exfiltration from Insiders
From: Australian Research Council - Discovery Project, Victoria University
For period: 2020-2023
|
$600,000 |
2019
|
Strategic Transport Modelling Development; Exploration of Representation of Planned Disruptions in Forecast Modelling
From: APR Intern
For period: 2019-2020
|
Not disclosed |
|
The Impact of Planned Special Events (PSEs) on Urban Traffic Congestion
From: Data61 - CSIRO
For period: 2019-2021
|
$75,192 |
|
Data Utility and Private Data Protection in Outsourced Environments
From: VU Internal Funding, Bistone
For period: 2019-2019
|
Not disclosed |
2018
|
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 |
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 |
|---|---|---|
| 3 | PhD | Associate supervisor |
| 8 | PhD | Principal supervisor |
| 3 | PhD Integrated | Principal supervisor |
| 2 | PhD Integrated | Associate supervisor |
Currently supervised research students at VU
| Students & level | Role |
|---|---|
| PhD (3) | Associate supervisor |
| PhD (8) | Principal supervisor |
| PhD Integrated (3) | Principal supervisor |
| PhD Integrated (2) | Associate supervisor |
Completed supervision of research students at VU
| No. of students | Study level | Role |
|---|---|---|
| 14 | PhD | Principal supervisor |
| 6 | PhD | Associate supervisor |
| 2 | Masters by Research | Principal supervisor |
| 1 | Masters by Research | Associate supervisor |
| 1 | PhD Integrated | Associate supervisor |
| 3 | Master of Research Practice | Principal supervisor |
| 5 | Master of Research | Principal supervisor |
Completed supervision of research students at VU
| Students & level | Role |
|---|---|
| PhD (14) | Principal supervisor |
| PhD (6) | Associate supervisor |
| Masters by Research (2) | Principal supervisor |
| Masters by Research (1) | Associate supervisor |
| PhD Integrated (1) | Associate supervisor |
| Master of Research Practice (3) | Principal supervisor |
| Master of Research (5) | Principal 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.
