Home » User

Dr. Nguyen Thi Thanh Sang

Dr. Nguyen Thi Thanh Sang
Dr. Nguyen Thi Thanh Sang
Head, Office of Quality Assurance and Testing
Thi Thanh Sang Nguyen is a senior lecturer at the school of CSE at the International University (VNU-HCMC) in VN. She has received the PhD degree at UTS, Australia in 2013.
This user account status is Approved
Head, Office of Quality Assurance and Testing

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 Languages, 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
  • Data Mining
  • Introduction to Data Science
  • Data Analysis

IU2016, IU2017, IU2020

NAFOSTED2018

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.

Supervision:

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, chatbot.
  • Business intelligence, e.g., intelligent e-business/ e-commerce/ e-learning systems.

International Journals

  • 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.
  • 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 Applications, vol. 3, no. 1, pp. 1-10.
  • 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.
  • Nguyen, T. T. S., et al. 2014, ‘Web-Page Recommendation Based on Web Usage and Domain Knowledge’, IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 10, pp. 2574-2587.
  • Nguyen, T.T.S. and 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.
  • T.T.S. Nguyen, P.M.T. Do and T.T. Nguyen 2018, ‘Improving Customer Behaviour Prediction with the Item2Item model in Recommender Systems’, EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, vol. 5, no. 17, pp. 1-13.
  • T.T.S. Nguyen and P.M.T. Do 2020, ‘Classification optimization for training a large dataset with Naïve Bayes’, Journal of Combinatorial Optimization, 40, pp. 141-169, Springer Nature.
  • T.T. Sang Nguyen, D.H. Trong Ho, and N.T. Anh Nguyen, ‘An Ontology-Based Question Answering System for University Admissions Advising,’ Intelligent Automation & Soft Computing, vol. 36, no. 1, pp. 601--616, 2023. https://doi.org/10.32604/iasc.2023.032080
  • P.M.T. Do, T.T.S. Nguyen, ‘Semantic-enhanced neural collaborative filtering models in recommender systems’, Knowledge-Based Systems, vol. 257, p. 109934, 2022/12/05, 2022, https://doi.org/10.1016/j.knosys.2022.109934.
  • N. N. T., L. Long, V. P. L., N. S. T. Thi, D. C. T., and N. Ngoc-Thanh, "Reinforcement learning - based adaptation and scheduling methods for multi-source DASH," Computer Science and Information Systems, vol. 20, pp. 157-173, 2023. https://doi.org/10.2298/CSIS220927055N.
  • Nguyen, T. T. S., Do, P. M. T., Nguyen, T. T., & Quan, T. T. (2023). Transforming Data with Ontology and Word Embedding for an Efficient Classification Framework. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 10(2), e2. https://doi.org/10.4108/eetinis.v10i2.2726.

    • International Conferences

  • Nguyen, T.T.S. 2009, ‘Efficient Web Usage Mining Process for Sequential Patterns’, paper presented to the 11th International Conference on Information Integration and Web-based Applications & Services (iiWAS), Kuala Lumpur, Malaysia.
  • Lu, H., Nguyen. T.T.S. 2009, ‘Experimental Investigation of PSO Based Web User Session Clustering’, paper presented to the International Conference on Soft Computing and Pattern Recognition, Malacca, Malaysia.
  • Nguyen, T.T.S., Lu, H. & Lu, J. 2010, 'Ontology-Style Web Usage Model for Semantic Web Applications', paper presented to the 10th International Conference on Intelligent Systems Design and Applications (ISDA), Cairo, Egypt.
  • Nguyen, T.T.S., Dao, T.H.C & Quach, D.H.M. 2015, ‘An Efficient Framework of User Behavior Prediction for Sequential Patterns’, paper presented to the 16th Asia Pacific Industrial Engineering & Management Systems Conference (APIEMS), Hochiminh City International University, Vietnam.
  • Thi Thanh Sang Nguyen 2016, ‘A Deep Learning Framework for Book Search’, paper presented to the 18th International Conference on Information Integration and Web-based Applications & Services (iiWAS2016), Singapore.
  • 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.
  • 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.
  • 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.
  • Tuan T. Nguyen, Sang T. T. Nguyen, and Luu C. Nguyen 2017, ‘Learning to Solve Sudoku Problems with Computer Vision aided Approaches’, Proceedings of the 6th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2017), Information and Decision Sciences, Springer Singapore.
  • Luong Huy Nguyen and Thi Thanh Sang Nguyen, ‘Document Ontology Evolution for Large Datasets’, Proceedings of the 10th International Conference on Knowledge and Systems Engineering (KSE2018), Hochiminh City, Vietnam.
  • Thanh Huy Ly, Song Toan Do, and Thi Thanh Sang Nguyen, ‘Ontology-based Recommender System for the Million Song Dataset Challenge’, Proceedings of the 10th International Conference on Knowledge and Systems Engineering (KSE2018), Hochiminh City, Vietnam.
  • Tien-Dung Nguyen, Thi-Thanh-Sang Nguyen, Nhat-Tan Nguyen, ‘Calibration of Conductivity Sensor using Combined Algorithm Selection and Hyperparameter Optimization: A Case Study’, Proceedings of the 2018 International Conference on Advanced Technologies for Communications (ATC)
  • Nguyen TTS (2019) ‘Model-Based Book Recommender Systems using Naïve Bayes enhanced with Optimal Feature Selection’, Proceedings of the 8th International Conference on Software and Computer Applications, Association for Computing Machinery, Penang, Malaysia. doi:10.1145/3316615.3316727
  • Viet Thang Nguyen, Tran Hoai Nam Nguyen, Triet Le, Thi Thanh Sang Nguyen and Lam Huynh (2020), ‘Estimation of Heat of Formation for Chemical Systems using the Lasso Regression-Based Approach’, Paper presented at the Proceedings of the 2020 9th International Conference on Software and Computer Applications, Langkawi, Malaysia. https://doi.org/10.1145/3384544.3384600
  • Minh Quang Pham, Thi Thanh Sang Nguyen, Pham Minh Thu Do, Adrianna Kozierkiewicz (2020), ‘Incremental SVD-based Collaborative Filtering Enhanced with Diversity for Personalized Recommendation’, Proceedings of the 12th International Conference on Computational Collective Intelligence, Da Nang, Vietnam. https://doi.org/10.1007/978-3-030-63119-2_18
  • Duc Duy Tran, Thi Thanh Sang Nguyen, Tran Hoang Chau Dao (2021), ‘Sentiment Analysis of Movie Reviews using Machine Learning Techniques’, Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021, London, Vol.1, Springer Singapore. ISBN: 978-981-16-2377-6, DOI: 10.1007/978-981-16-2377-6.
  • Nguyen H., Pham D.L., Doan M.H., Nguyen T.T.S., Dinh D.A.V., Kozierkiewicz A. (2021) Reinforcement Learning for Optimizing Wi-Fi Access Channel Selection. In: Wojtkiewicz K., Treur J., Pimenidis E., Maleszka M. (eds) Advances in Computational Collective Intelligence. ICCCI 2021. Communications in Computer and Information Science, vol 1463. Springer, Cham. https://doi.org/10.1007/978-3-030-88113-9_27.
  • Nguyen N.T., Vo P.L., Nguyen T.T.S., Le Q.M., Do C.T., Nguyen NT. (2021) A Reinforcement Learning Framework for Multi-source Adaptive Streaming. In: Nguyen N.T., Iliadis L., Maglogiannis I., Trawiński B. (eds) Computational Collective Intelligence. ICCCI 2021. Lecture Notes in Computer Science, vol 12876. Springer, Cham. https://doi.org/10.1007/978-3-030-88081-1_31.
  • Thanh Luan Nguyen, Thi Thanh Sang Nguyen and Adrianna Kozierkiewicz. (2023) Hybrid approaches to sentiment analysis of social media data, Proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, 24-26 July 2023 Phuket, Thailand.

    • Science in Buddhism

    Cooking, reading books and watching movies