Thach-Thao Duong

Lecturer

College of Science and Engineering

place Bedford Park (4.13)

Dr. Thach-Thao Duong is a lecturer in Computer Science at the College of Science and Engineering, Flinders University. She holds a Ph.D. in Computer Science from Griffith University, Brisbane and has a rich academic and research background.

Her area of expertise lies in optimization, data analytics, and machine learning. She has previous teaching experience at the School of Mathematics, Physics and Computing, University of Southern Queensland and has several years of postdoctoral research experience, where she worked on applied machine learning projects at the University of Bordeaux and the University of Wollongong.

Her academic contributions are noteworthy, with numerous publications in highly respected peer-reviewed conferences and journals such as the AAAI Conference on Artificial Intelligence, JICAI The International Joint Conference on Artificial Intelligence, and the EJOR European Journal of Operational Research. One of her works was also awarded the best paper award at the prestigious Australian AI conference.

Qualifications

2014, PhD of Computer Science, Griffith University, Australia

2009, Master of Computer Science, Vietnam National University of Science, Ho Chi Minh City

2006, Bachelor of Information Technology, Vietnam National University of Science, Ho Chi Minh City

Honours, awards and grants

2012, Finalist in “Ph.D. Career Start Award”, WiT Women In Technology 2012

2013, Best paper award and Best student paper award, Australasian Joint Conference on Artificial Intelligence

Topic coordinator
COMP2031 Data Engineering
COMP8031 Data Engineering
COMP1711 Database Modelling and Information Management
COMP8711 Database Modelling and Information Management
Topic lecturer
COMP2031 Data Engineering
COMP8031 Data Engineering
COMP1711 Database Modelling and Information Management
COMP8711 Database Modelling and Information Management
Supervisory interests
Combinatorial optimisation
Experimental design and data analysis
Machine learning