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Dr Di Wu

Dr Di Wu
Name Di Wu
Pronoun He/Him/His
Position Lecturer (Computing)
Section School of Mathematics, Physics and Computing
Office D204C
Location Toowoomba Campus
Phone +61 7 4631 5561
Extension 5561
Email
Qualifications BIT(Hons) Deakin , MIT Deakin , PhD UTS
Languages Chinese (accredited translator)
English (accredited translator)
Homepage https://diwu.work
The views expressed on staff homepages may not reflect the views of the University.

Dr. Di Wu is a Lecturer at the School of Mathematics, Physics, and Computing, at the University of Southern Queensland. Prior to that, he was a Researcher at the Australian Institute for Machine Learning (AIML) & School of Computer Science, University of Adelaide, Adelaide, Australia. Previous to this, he was an Associate Research Fellow, Artificial Intelligence at Deakin Blockchain Innovation Lab, School of Information Technology, Deakin University, Melbourne, Australia, and worked as a Postdoc Fellow at the School of Computer Science, University of Technology Sydney (UTS), Sydney, Australia. He has more than 10 years of experience in research & development and academia. He has substantial industry experience in large project management, software development, and large system maintenance experience while working on various projects at China Telecom (Global 500), Shanghai. His research area focuses on applying AI on edge devices and AI applications.


  • Adversarial Machine Learning ( 461101 )
  • Deep Learning ( 461103 )
  • Machine Learning ( 461100 )
  • Cybersecurity And Privacy ( 460400 )
  • System And Network Security ( 460407 )
  • Data And Information Privacy ( 460402 )
  • Neural Networks ( 461104 )
  • Data Security And Protection ( 460403 )
  • Cybersecurity And Privacy not elsewhere classified ( 460499 )
  • Machine Learning not elsewhere classified ( 461199 )
  • Reinforcement Learning ( 461105 )
  • Autonomous Agents And Multiagent Systems ( 460202 )
  • Artificial Intelligence ( 460200 )
  • Knowledge Representation And Reasoning ( 460206 )
  • Artificial Intelligence not elsewhere classified ( 460299 )
  • Planning And Decision Making ( 460209 )

AI on Edge, Federated Learning, Deep Learning, Computer Vision, CyberSecurity


Member of IEEE, Member of ACM


  • Centre for Future Materials (CFM)

Current Teaching:
CSC8510 Internetworking
CSC8540 Routing and Switching
CSC1310 Networking 1: Internetworking
CSC3427 Switching, Wireless and WAN Technologies

Capstone Supervising:
CSC3600 ICT Professional Project
CSC6200 Advanced ICT Professional Project


8 Years


10 Years


School Research Seminar Coordinator (2023-2024)
Major Convenor (2023-now)
HDR Coordinator (2024-now)


  • Adversarial Machine Learning ( 461101 )
  • Deep Learning ( 461103 )
  • Machine Learning ( 461100 )
  • Cybersecurity And Privacy ( 460400 )
  • System And Network Security ( 460407 )
  • Data And Information Privacy ( 460402 )
  • Neural Networks ( 461104 )
  • Data Security And Protection ( 460403 )
  • Cybersecurity And Privacy not elsewhere classified ( 460499 )
  • Machine Learning not elsewhere classified ( 461199 )
  • Reinforcement Learning ( 461105 )