Biography

Dr. Di Wu is a Lecturer at the School of Mathematics, Physics, and Computing, the University of Southern Queensland and a Visiting Fellow at School of Computer Science, University of Technology Sydney. 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. He has published papers in high quality refereed books, conferences, and journals including top-tier conferences such as ICLR. He also serves as a reviewer for many high-quality academic conferences and journals, such as CoRL, PR, TETCI, and so on.

He graduated with a Ph.D. from the School of Computer Science & Australian Artificial Intelligence Institute(AAII), University Technology Sydney, Sydney, Australia under the supervision of Prof. Michael Blumenstein (principal), A.Prof. Nabin Sharma (co-), Prior to joining UTS, he was an HDR (Higher Degree Research) candidate at School of ICT, Griffith University, Gold Coast, Australia. Previous to this, he completed his M.Sc. in Information Technology (Professional) and B.Sc. in Information Technology (Honours) as a top honours student under supervision of Prof. Yang Xiang at Deakin University, Melbourne, Australia in 2012 and 2013 respectively. 

He worked as a Chief Investigator on the two major projects in collaboration with industry and academia with secured funds of ~AUD 200,000. The project SharkSpotter and Codebots he worked with awarded multiple awards including The Australian Information Industry Association (AIIA) NSW iAwards 2018 in Research and Development Project of the Year, Artificial Intelligence or Machine Learning Innovation of the Year, and Community Service Markets. Additionally, the SharkSpotter Project is also a winner of National iAwards 2018 in the Artificial Intelligence or Machine Learning Innovation of the Year, Merit Award at Asia Pacific ICT Alliance Awards (APICTA) 2018, and Australian Association for Unmanned Systems (AAUS) industry awards 2020. The Codebots projects received the Start-up of The year Queensland State iAward in 2020. 

Research Career

  1. Lecturer, School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, Australia (Working Here Now)
    • Teaching, Researching and Servicing
  2. Grant-Funded Researcher (A), Australian Institute for Machine Learning (AIML), University of Adelaide, Adelaide, Australia
    • Successfully developed the demonstration for CRC SmartSat project with the new algorithm for DNN compression and updating from the ground base to the satellite.
  3. Associate Research Fellow, Artificial Intelligence, School of Information Technology, Deakin University, Melbourne, Australia
    • Successfully Developed the demonstration industry project for applying the AI recommendation and blockchain into the intelligent marketing system.
  4. Postdoctoral Fellow, School of Computing Science, University of Technology Sydney, Sydney, Australia
    • Successfully Developed the first SharkSpotter System with a great team 
    • Successfully Developed the prototype of transferring the handwriting database structure into codes via simple photos.

Industry Career

  1. Founder & CEO, Novitam Pty Ltd., Melbourne, Australia
  2. Project Manager, China Telecom, Shanghai, China
  3. Customer Support Manager, Guangye Software Pty Ltd, Shanghai, China

Casual Career

  1. Research Assistant, Enterprise AI and Data Analytics Hub, RMIT, Melbourne, Australia
  2. Lecturer, International Design Art College, Inner Mongolia Normal University, Hohhot, China
  3. Lecturer, School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia
  4. Teacher, TAFE, Swinburne University of Technology, Melbourne, Australia
  5. Lecturer, School of Computer Science, University of Technology Sydney, Sydney, Australia
  6. Lecturer, School of Information Technology, Deakin University, Melbourne, Australia
    • Deliver Deakin University subjects at Inner Mongolia Normal University
  7. Tutor, School of Computer Science, University of Technology Sydney, Sydney, Australia
  8. Tutor, School of Information and Communication Technology, Griffith University, Gold Coast, Australia
  9. Tutor, School of Information Technology, Deakin University, Melbourne, Australia

Education

  • Doctor of Philosophy (Ph.D.), University of Technology Sydney, Sydney, Australia
  • Doctor of Philosophy (Ph.D.), Griffith University, Gold Coast, Australia (Transfer to University of Technology Sydney after first year study)
  • Master of Information Technology (Professional), Deakin University, Melbourne, Australia
  • Bachelor of Information Technology (Honours), Deakin University, Melbourne, Australia
Scroll to Top