Dr. Di Wu is a Senior Lecturer at the School of Mathematics, Physics, and Computing, the University of Southern Queensland  (UniSQ). Prior to that, he was a Lecturer at the same School. Prior to that, he was a Researcher Fellow at the Australian Institute for Machine Learning (AIML) and 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 federated learning, AI security and privacy, and trustworthy AI. He has published papers in high-quality refereed books, conferences, and journals, including top-tier venues such as ICLR, IJCAI, TKDE etc. He also serves as an associate editor in NLPJ and a reviewer for many high-quality academic conferences and journals, such as ICLR, KDD, ACM MM, CoRL, TMC, TNNLS, TETCI, PR, etc.

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 270,000. 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.