After graduating from the HCMC University of Technology, I worked at the company for a few years. After that, I continued to study for a master’s degree and returned to School of Industrial Management faculty to teach since 2003 year. I have also published 2 book chapters and several research articles. These research activities help to make my lectures more vivid, richer and closer to reality.

Vo Ngoc Phu, Vo Thi Ngoc Tran, Artificial Intelligence and Machine Learning for Large-Scale Data: Intelligence and Sustainable Computing, Computational Intelligence and Sustainable Systems, , 71-85, 2019, 978-3-030-02674-5

Vo Ngoc Phu, Vo Thi Ngoc Tran, Neural Network for Big Data Sets, Computational Intelligence in the Internet of Things, Copyright: © 2019, 33, 2019, 2327-0411

Vo Ngoc Phu, Vo Thi Ngoc Tran, Chapter 7: Semantics for Big Data Sets, Handbook of Research on Big Data and the IoT, © Springer Nature Switzerland AG 2019, 24, 2019, 978-3-030-02674-5

Vo Ngoc Phu, Vo Thi Ngoc Tran, (Chapter 9) Data Mining for Social Network Analysis Using a CLIQUE Algorithm, (Book) Cognitive Social Mining Applications in Data Analytics and Forensics, December, 2018, 160-187, 2018, 9781522575221

Vo Ngoc Phu, Vo Thi Ngoc Chau, Vo Thi Ngoc Tran, Shifting Semantic Values of English Phrases for Classification, International Journal of Speech Technology (IJST), v.20 n.3, 509-533, 2017, 1381-2416

Vo Thi Ngoc Chau, Nguyen Hua Phung, Vo Thi Ngoc Tran, A robust and effective algorithmic framework for incomplete educational data clustering., the 2nd National Foundation for Science and Technology Development Conf. on Information and Computer Science (NICS), 2015, Ho Chi Minh – Việt Nam, T-KHMT-2015-27, 978-1-4673-6638-0

Vo Thi Ngoc Chau, Phan Huu Loc, Vo Thi Ngoc Tran, A robust mean shift-based approach to effectively clustering incomplete educational data., the 2015 International Conference on Advanced Computing and Applications, 2015, Ho Chi Minh – Việt Nam, T-KHMT-2015-27, 978-1-4673-8234-2

Võ Thị Ngọc Trân, Võ Ngọc Phú, Phan Thị Tươi, Learning More Chi Square Feature Selection to Improve the Fastest and Most Accurate Sentiment Classification, ACIS 2014, 2014, Nha Trang – Việt Nam, ISBN 978-4-88686-089