Personal information

Cybersecurity, Industrial control systems, Substation automation systems, Anomaly detection
China

Biography

Xuelei Wang received M.Sc. in IT (security) and PhD at the Queensland University of Technology in 2018 and 2023, respectively. He is currently a research assistant at QUT researching cyber security issues in industrial control systems, especially for smart girds. His research interests include network and system security, machine learning, network forensics, anomaly detection, and smart substation protection.

Activities

Employment (2)

Queensland University of Technology: Brisbane, QLD, AU

2023-08-01 to present | Research Assistant (CSCRC) (Computer Science)
Employment
Source: Self-asserted source
Xuelei Wang

Queensland University of Technology: Brisbane, QLD, AU

2023-02 to present | Sessional Academic (Tutroing) (Computer Science)
Employment
Source: Self-asserted source
Xuelei Wang

Education and qualifications (2)

Queensland University of Technology: Brisbane, QLD, AU

2019-02-25 to 2023-05-08 | PhD (Computer Science)
Qualification
Source: Self-asserted source
Xuelei Wang

Queensland University of Technology: Brisbane, QLD, AU

2017-02-27 to 2018-11-29 | Master (Electrical engineering and computer science school )
Education
Source: Self-asserted source
Xuelei Wang

Works (4)

Detecting cyber attacks from untrusted components in smart electricity substations

2023 | Dissertation or Thesis
Source: check_circle
Crossref

Anomaly Detection for Insider Attacks From Untrusted Intelligent Electronic Devices in Substation Automation Systems

IEEE Access
2022 | Journal article
Contributors: Xuelei Wang; Colin Fidge; Ghavameddin Nourbakhsh; Ernest Foo; Zahra Jadidi; Calvin Li
Source: check_circle
Crossref

Feature Selection for Precise Anomaly Detection in Substation Automation Systems

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)
2021-11-21 | Conference poster
Source: Self-asserted source
Xuelei Wang

Assessing Industrial Control System Attack Datasets for Intrusion Detection

2018 Third International Conference on Security of Smart Cities, Industrial Control System and Communications (SSIC)
2018-12-06 | Conference paper
Source: Self-asserted source
Xuelei Wang