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Dr Taotao Cai

Dr Taotao Cai
Name Taotao Cai
Position Lecturer (Computing)
Section School of Mathematics, Physics and Computing
Office D205D
Location Toowoomba Campus
Phone +61 7 4631 1093
Extension 1093
Email
Qualifications BEng Jinggangshan , MCmpScTch Shenzhen , PhD Deakin
Languages English (non accredited translator)
Mandarin (non accredited translator)
Homepage https://research.usq.edu.au/researcher/vxv08/dr-taotao-cai
The views expressed on staff homepages may not reflect the views of the University.

Biography

Dr. Taotao Cai's primary focus is on research and teaching in Data Science, including graph data processing, social network analytics, recommendation systems, and complexity science. He completed his Ph.D. from Deakin University in 2020 after spending two years at The University of Western Australia (Jan 2017 - Mar 2019) and over one year at Deakin University (Mar 2019 - July 2020) during his Ph.D. studies. In addition to his Ph.D., Dr. Cai also holds a Master's degree in Computer Science from Shenzhen University, which he earned in 2016.

Before joining the faculty at UniSQ, Taotao held positions as a Postgraduate Research Fellow at Macquarie University (Mar 2021 - Jan 2023) and an Associate Research Fellow at Deakin University (July 2020 - Feb 2021). During this time, he made significant research contributions, which have been published in leading international conferences and journals such as IEEE ICDE, Information Systems, and IEEE TKDE.

In addition to his research, Dr. Cai has gained considerable teaching experience in both online and offline settings. He has served as a Course Examiner, Lecturer, and Guest Lecturer in various units and courses, and has received positive feedback from students for his engaging teaching style and ability to effectively convey complex concepts.

Research Career


  • Data Management And Data Science ( 460500 )
  • Neural Networks ( 461104 )
  • Database Systems ( 460505 )
  • Data Mining And Knowledge Discovery ( 460502 )
  • Deep Learning ( 461103 )
  • Machine Learning ( 461100 )
  • Graph ( 460506 )

Graph Query:
• Social Network Analysis and Network Science
• The Boundary of Graph Neural Networks
Information Dissemination:
• User Behavior Analysis and Modeling, Influence Propagation
• Fact Driven Fake News Detection and Blocking


  • Centre for Future Materials (CFM)
  • Centre for Health, Informatics and Economic Research (CHIER)

Teaching


CSC1410 - Software Engineering Foundations
CSC2220 - Artificial Intelligence
CSC3420 - Mobile Internet Technology
CSC6204 - Information Retrieval and Knowledge Management
CSC8710 - Software Design and Modelling
CSC8720 - Programming Algorithms


Major Convenor: Data Science and AI

Supervision


  • Data Management And Data Science ( 460500 )
  • Neural Networks ( 461104 )
  • Database Systems ( 460505 )
  • Data Mining And Knowledge Discovery ( 460502 )
  • Deep Learning ( 461103 )
  • Machine Learning ( 461100 )
  • Graph ( 460506 )