I am always open to collaboration with different Topics. Please get in touch with me if you feel our research interests overlap. 

Di Wu, PhD, MIEEE

Lecturer/Assistant Professor

HDR Coordinator

Research Seminar Coordinator, School Research Committee

Major Convenor, Software Application and Cloud Computing

Founder/Director, TAGIR Group

School of Mathematics, Physics, and Computing

Centre for Future Materials (CFM)

University of Southern Queensland

TAGIR Group

 

Visiting Fellow

School of Computer Science

University of Technology Sydney

 

Guest Lecturer

School of Design

Inner Mongolia Normal University

T:+61 7 4631 5561 

E:di.wu@unisq.edu.au

A: 204C, D Block, 487-535 West St, Darling Heights QLD 4350

 

Oppotunities

Long-term Recruitment: I am always looking for self-motivated Ph.D. Students, Master by Research Students, Honours Students, and Visiting Researchers. Meanwhile, I am happy and open to co-supervising internal and external research students.

  • You can apply directly by emailing me your CV and research statement to di.wu@unisq.edu.au (tell me about the work you are proud of and the plan during your PhD).
  • You can apply for our UniSQ scholarship. If you want to work with me, mention it in your research statement.

Current Open Recruitment:

  • Looking for one full scholarship Ph.D. student (AUD 33,000 per year for three years) for Prof. Yan Li‘s ARC DP project: AI for CyberSecurity. You will work with Prof. Yan Li on the Cybersecurity issues on Federated Learning. If you are interested, please send me your CV and publication list.

News!

  • (02/2024)(Paper) One paper has been accepted by the IEEE Transaction on Arificial Intelligence
  • (01/2024)(Paper) One paper has been accepted by the ICLR 2024 (Core A*)
  • (12/2023)(Service)Three Special Sessions have been accepted by IJCNN 2024
  • (11/2023)(Award) Awarded Teaching and Learning Awards, School of Mathematics, Physics and Computing, University of Southern Queensland, 2023
  • (10/2023)(Seminar) Give the talk about privacy issues in Federated Learning for Neural Computing and Applications (NCAA), Springer
  • (10/2023)(Grant) Successfully granted AUD 4, 000 Internal 2023 Teaching Innovation Grants.
  • (09/2023)(Grant) Successfully granted AUD 4, 000 Internal 2023 Academic Affairs Collaboration Grants for research collaboration.
  • (03/2023)(Paper) One paper has been accepted by the Journal of Information Security and Applications (SJR-Q1, CCF-C, IF:5.6)
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