Dr Taotao Cai
Name | Dr Taotao Cai |
---|---|
Email Address | taotao.cai@unisq.edu.au |
Job Title | Senior Lecturer (Computing) |
Qualifications | BEng Jinggangshan, MCmpScTch Shenzhen, PhD Deakin |
Department | School of Mathematics, Physics and Computing |
ORCID | https://orcid.org/0000-0002-3624-6120 |
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Biography
Dr. Taotao Cai is a Lecturer in Computing at the University of Southern Queensland (UniSQ). His primary focus is on research and teaching in the field of Data Science, including graph data processing, social network analytics, recommendation systems, and complexity science. He completed his Ph.D. degree 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.
Prior to joining the faculty at UniSQ, Taotao held positions as a Postdoctoral 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.
Employment
Position | Organisation | From | To |
---|---|---|---|
Senior Lecturer | University of Southern Queensland | 2024 | |
Lecturer | University of Southern Queensland | 2023 | 2024 |
Expertise
Graph Query, Information Dissemination, Complexity Science
Teaching
CSC2220 - Artificial Intelligence (Curriculum Designing, Lecturer, and Unit Convenor)
CSC1410 - Software Engineering Foundations
CSC8710 - Software Design and Modelling
CSC6204 - Information Retrieval and Knowledge Management
CSC8720 - Programming Algorithms
CSC3420 - Mobile Internet Technology
Fields of Research
- 460502. Data mining and knowledge discovery
- 460505. Database systems
- 460506. Graph, social and multimedia data
- 461103. Deep learning
- 461104. Neural networks
Current Supervisions
Research Title | Supervisor Type | Level of Study | Commenced |
---|---|---|---|
Investigating Causal Approaches for Graph Neural Networks Classification | Associate Supervisor | Doctoral | 2023 |
Accurate and automated coronary artery plaque detection using computed tomography angiography images | Associate Supervisor | Doctoral | 2023 |
Opinion mining and topic modelling for social media analysis | Associate Supervisor | Doctoral | 2017 |