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Dr. Nguyen Thi Thanh Sang

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Room O1.610, International University.
Block 6, Linh Trung Ward, Thu Duc District, HCM City, Vietnam
Phone: (84-28) 37244270. Ext: 3232
Fax: (84-28) 37244271
Home page: https://sites.google.com/site/nttsteaching/home
Email: nttsang@hcmiu.edu.vn

- Doctor of Philosophy in Software Engineering, University of Technology Sydney, Australia (2009-2012)

Master in Computer Engineering, Hochiminh City (HCMC) University of Technology, Vietnam (2004-2006)

B.Eng. in Computer Engineering, HCMC University of Technology, Vietnam (1999-2004)

BS in English Language, Hanoi University of Foreign Language, Vietnam (1999-2003)

Lecturer (School of Computer Science & Engineering, International University - IU, VNU – HCMC) 2015 - present
Lecturer (School of Engineering, Eastern International University - EIU, Binh Duong New City) 2014
Lecturer (School of Information Technology, HCMC University of Technology - HUTECH) 2013 - 2014
Casual academic (School of Software, University of Technology Sydney - UTS, Australia) 2009 - 2013
Research Fellow (School of Computer Science & Engineering, International University - IU, VNU – HCMC) 2006 - 2008
Software Developer (Internet & Software Co. - Netsoft - VNPT) 2004 - 2006

  • Principles of database management
  • Software engineering
  • Software project management
  • Information systems management

1. Nguyen, T.T.S. 2009, “Efficient Web Usage Mining Process for Sequential Patterns”, the 11th International Conference on Information Integration and Web-based Applications & Services (iiWAS), Kuala Lumpur, Malaysia.
2. Lu, H., Nguyen. T.T.S. 2009, “Experimental Investigation of PSO Based Web User Session Clustering”, the International Conference on Soft Computing and Pattern Recognition, Malacca, Malaysia.
3. Nguyen, T.T.S., Lu, H. & Lu, J. 2010, 'Ontology-Style Web Usage Model for Semantic Web Applications', the 10th International Conference on Intelligent Systems Design and Applications (ISDA), Cairo, Egypt.
4. Tran, T., Nguyen, T., Tsai, P. & Kong, X. 2011, 'BSPNN: boosted subspace probabilistic neural network for email security', Artificial Intelligence Review, vol. 35, no. 4, pp. 369-382.
5. Tran, T.P., Nguyen, T.T.S., Dang, K.C. & Kong, X. 2011, 'An Efficient Web-Page Recommender System using Frequent Pattern Discovery and Dynamic Markov Models', International Journal of Web Application, vol. 3, no. 1, pp. 1-10.
6. Nguyen, T.T.S., Lu, H., Tran, T.P. & Lu, J. 2012, "Investigation of Sequential Pattern Mining Techniques for Web Recommendation", International Journal of Information and Decision Sciences (IJIDS), vol. 4, no. 4, pp. 293-312.
7. Nguyen, T.T.S.; Hai Yan Lu; Jie Lu, "Web-Page Recommendation Based on Web Usage and Domain Knowledge," IEEE Transactions on Knowledge and Data Engineering, vol.26, no.10, pp.2574,2587, Oct. 2014 (Tier A journal).
8. Nguyen, T.T.S., Dao, T.H.C & Quach, D.H.M. 2015, ‘An Efficient Framework of User Behavior Prediction for Sequential Patterns’, the 16th Asia Pacific Industrial Engineering & Management Systems Conference (APIEMS), Hochiminh City International University, Vietnam.
9. Nguyen, T.T.S., Nguyen, T.T. 2015, ‘An Enhanced Web Document Search Engine using a Semantic Network’, Advanced Computational Methods, Systems, and Industrial Engineering Applications, REV Journal on Electronics and Communications, vol. 5, no. 3-4.
10. Thi Thanh Sang Nguyen 2016, ‘A Deep Learning Framework for Book Search’, the 18th International Conference on Information Integration and Web-based Applications & Services (iiWAS2016), Singapore.
11. Thi Thanh Sang Nguyen, Haiyan Lu 2016, ‘Domain Ontology Construction Using Web Usage Data’, paper presented to the 29th Australasian Joint Conference on Artificial Intelligence, Hobart, Australia.
12. Hoang Giang Nguyen, Thi Thanh Sang Nguyen 2017, ‘Transformed Document Modeling for Efficiently Searching’, paper presented at the Seventh International Conference on Information Science and Technology - ICIST 2017, Da Nang, Vietnam, pp. 391-397.
13. Sam Quoc Tuan, Nguyen Thi Thanh Sang, Dao Tran Hoang Chau 2017, ‘An Effective FP-tree-based Movie Recommender System’, paper presented at the 4th International Conference on Information System Design and Intelligent Applications (INDIA - 2017), Da Nang, Vietnam.

One of my research interests is semantic recommender systems which can be developed by integrating Semantic Web technologies into Web mining. Some data mining techniques can be used to discover and process data, and build knowledge bases in the recommender systems. The main goal of this research is often to personalize the built knowledge in order to meet Web user interests.

I am also interested in business intelligence applications which deal with the big data of user profile and transactions. Analysing user behaviour is usually taken into account of such applications.


Topics of:

  • Data mining (Data science)
  • Search engine, e.g., applications of book search, Web search like Google search.
  • Recommender systems, e.g., applications of movie recommender systems like YouTube, music recommender systems, product recommender systems like Amazon.
  • Expert systems, e.g., disease diagnosis system.
  • Business intelligence, e.g., intelligent e-business/ e-commerce systems.


Google Scholar

Science in Buddhism

Cooking, reading books and watching movies