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RESEARCH INTERESTS
RESEARCH INTERESTS
Machine learning, Imbalanced learning
Deep learning, Time series analysis
Natural language processing (NLP)
Data analysis, Data mining, Pattern mining
EDUCATION
EDUCATION
1. [2017 – 2020], Ph.D. in Computer Science, Sejong University, South Korea
2. [2011 – 2014], M.S. in Computer Science, University of Information Technology, Vietnam National University Ho Chi Minh City, Vietnam
3. [2005 – 2009], B.S. in Information Technology, University of Science, Vietnam National University Ho Chi Minh City, Vietnam
EMPLOYMENT
EMPLOYMENT
[2023 – now], Lecturer, Faculty of Information Technology, HUTECH University, Ho Chi Minh City, Vietnam
[2022 – 2023], Researcher, AI Lab, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam
[2020 – 2022], Researcher, Ton Duc Thang University (TDTU), Ho Chi Minh City, Vietnam
[2014 – 2017], Researcher, Division of Data Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam
[2010 – 2014], Lecturer, Faculty of Information Technology, Ho Chi Minh City University of Food Industry, Vietnam
TEACHING EXPERIENCE
TEACHING EXPERIENCE
TDTU - Programming Methodology (Undergraduate): Fall 2020, Fall 2021, Fall 2022.
TDTU - Data Mining and Knowledge Discovery (Undergraduate): Spring 2021, Fall 2021, Spring 2022, Fall 2022.
TDTU - Object-Oriented Programming (Undergraduate): Spring 2022.
TDTU - Data mining (Graduate): Spring 2022.
HUTECH - Machine Learning (Graduate): Spring 2024.
AWARDS AND SCHOLARSHIPS
AWARDS AND SCHOLARSHIPS
Outstanding Doctoral Research Award (2019), by Sejong University, South Korea
PhD research fellow (2017–2019), by IMLab, Sejong University, South Korea
Student Travel Grant, IEEE SMC 2013, Manchester, UK by NAFOSTED, Vietnam
Toshiba scholarship 2012 by Toshiba Co., Ltd
Student Travel Grant, IBICA 2012, Kaohsiung, Taiwan by NAFOSTED, Vietnam
RESEARCH PROJECTS
RESEARCH PROJECTS
Development of ensemble methods-based XAI energy platform for effective energy consumption pattern and factor analysis. The National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT), Project ID: 2019M3F2A1073179 (Role: Researcher)
Building improved classifier on imbalanced financial/business transaction data to predict company bankruptcy. Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP), Project ID: 2017-0-00506 (Role: Researcher)
Mining patterns and its applications in text clustering and subspace clustering. NAFOSTED, Project ID: 102.05-2015.10, 2015-2017. (Role: Main researcher)
Developing algorithms for mining frequent sequence patterns and rules from sequence databases. NAFOSTED. Project ID: 102.05-2013.20 (2014-2016, Role: Technician)
Developing algorithms for mining frequent itemsets and top-k frequent itemsets based on Nodeset structure. FOSTECT, Project ID: FOSTECT.2014.BR.07, 2014-2015. (Role: Researcher)
PROFESSIONAL SERVICES
PROFESSIONAL SERVICES
Review Board: Applied Intelligence (SCI, IF: 5.019).
Guest Editor: Special Issue "Artificial Intelligence for Smart Cities" on Intelligent Automation & Soft Computing (SCIE, IF: 3.401);
Reviewer (SCI): (1) International Journal of Machine Learning and Cybernetics; (2) Neural Computing and Applications; (3) International Journal of Information Technology & Decision Making; (4) Intelligent Automation & Soft Computing; (5) Computational Intelligence; (6) IEEE Access; (7) Journal of Intelligent Information Systems; (8) Journal of Intelligent and Fuzzy Systems; (9) Engineering Applications of Artificial Intelligence; (10) Applied Soft Computing; (11) IEEE Transactions on Cybernetics; (12) Data Technologies and Applications; (13) Soft Computing; (14) Applied Intelligence; (15) PLOS ONE; (16) Frontiers in Energy; (17) Science China Information Sciences; (18) Knowledge-Based Systems; (19) Complexity; (20) Scientific Reports; (21) Resources, Conservation & Recycling; (22) Information Sciences; (23) Computers and Electrical Engineering; (24) Expert Systems With Applications; (25) Information Processing and Management; (26) Data Mining and Knowledge Discovery; (27) Arabian Journal for Science and Engineering; (28) Mathematical Problems in Engineering; (29) Scientific Programming; (30) Mobile Information Systems; (31) ACM Transactions on Computing for Healthcare; (32) Supercomputing; (33) Journal of Sensors; (34) Transactions on Knowledge Discovery from Data; (35) IEEE Transactions on Systems, Man and Cybernetics: Systems; (36) Technological and Economic Development of Economy; (37) Software: Practice and Experience; (38) Applied Artificial Intelligence; (39) WIREs Data Mining and Knowledge Discovery; (40) Knowledge and Information Systems; (41) Computers, Environment and Urban Systems; (42) Journal of Forecasting; (43) Concurrency and Computation: Practice and Experience; (44) Artificial Intelligence Review.
Reviewer (ESCI/Scopus): (1) Journal of Electronic Science and Technology; (2) Electrical and Computer Engineering; (3) Progress in Artificial Intelligence; (4) International Journal of Intelligent Computing and Cybernetics; (5) Jordanian Journal of Computers and Information Technology; (6) Vietnam Journal of Computer Science.
Reviewer (Conferences): ICCASA (2013), KSE (2014), ACIIDS (2015, 2016), IJCRS (2018), ICISN (2023).
Project Peer Review: The Science Fund of the Republic of Serbia (2023).
Conference Attendance: (1) IBICA 2012, Kaohsiung, Taiwan; (2) ACIIDS 2013, Kuala Lumpur, Malaysia; (3) IEEE SMC 2013, Manchester, UK; (4) ACIIDS 2015, Bali, Indonesia; (5) Next Generation Computing Conference 2017, Jeju, Korea; (6) ICNGC 2018, Vung Tau, Vietnam; (7) FAIR 2020, Nha Trang, Vietnam; (8) RIVF 2022, Ho Chi Minh City, Vietnam.
PUBLICATIONS (SCI)
PUBLICATIONS (SCI)
2023
31. Ham Nguyen, Nguyen Le, Huong Bui, Tuong Le*. Mining frequent weighted utility patterns with dynamic weighted items from quantitative databases. Applied Intelligence, 53, 19629–19646, 2023
30. Ham Nguyen, Nguyen Le, Huong Bui, Tuong Le*. A new approach for efficiently mining frequent weighted utility patterns. Applied Intelligence, 53, 121–140, 2023
2022
29. Ham Nguyen, Dang Vo, Huong Bui, Tuong Le*, Bay Vo. An Efficient Approach for Mining Weighted Uncertain Interesting Patterns. Information Sciences, 615, 1-23, 2022
28. Minh Thanh Vo, Anh H. Vo, Tuong Le. A Robust Framework for Shoulder Implant X-ray Image Classification. Data Technologies and Applications, 56(3), 447-460, 2022
27. Ham Nguyen, Tuong Le*, Minh Nguyen, Philippe Fournier-Viger, Vincent S. Tseng, Bay Vo. Mining Frequent Weighted Utility Itemsets in Hierarchical Quantitative Databases. Knowledge-Based Systems, 237, 107709, 2022
2021
26. Quoc-Hoan Doan, Tuong Le, Duc-Kien Thai. Optimization strategies of neural networks for impact damage classification of RC panels in a small dataset. Applied Soft Computing, 102, 107100, 2021
25. Minh Thanh Vo, Trang Nguyen, Anh H. Vo, Tuong Le*. Noise-adaptive synthetic oversampling technique. Applied Intelligence, 51(11), 7827–7836, 2021
24. Huong Bui, Tu-Anh Nguyen-Hoang, Bay Vo, Ham Nguyen, Tuong Le. A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams. IEEE Access, 9, 56318-56329, 2021
23. Tuong Le, Thanh-Long Nguyen, Bao Huynh, Hung Nguyen, Tzung-Pei Hong, Vaclav Snasel. Mining Colossal Patterns with Length Constraints. Applied Intelligence, 51(12), 8629–8640, 2021
22. Bay Vo, Huy-Cuong Nguyen, Bao Huynh, Tuong Le. Efficient methods for clickstream pattern mining on incremental databases. IEEE Access, 9, 161305-161317, 2021
2020
21. Minh Thanh Vo, Trang Nguyen, Tuong Le*. Robust Head Pose Estimation using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network. IEEE Access, 8(1), 3687-3694, 2020
20. Bay Vo, Huong Bui, Thanh Vo, Tuong Le*. Mining top-rank-k frequent weighted itemsets using WN-list structures and an early pruning strategy. Knowledge-Based Systems, 201-202, 106064, 2020
19. Tuong Le, Bay Vo, Van-Nam Huynh, Ngoc Thanh Nguyen, Sung Wook Baik: Mining top-k frequent patterns from uncertain databases. Applied Intelligence, 50(5), 1487-1497, 2020
2019
18. Anh H. Vo, Le Hoang Son, Minh Thanh Vo, Tuong Le*. A novel framework for trash classification using deep transfer learning. IEEE Access, 7(1), 178631-178639, 2019
17. Tuong Le, Bay Vo, Hamido Fujita, Ngoc-Thanh Nguyen, Sung Wook Baik. A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting. Information Sciences, 494, 294-310, 2019
16. Tuong Le, Bay Vo, Philippe Fournier-Viger, Mi Young Lee, Sung Wook Baik. SPPC: A New Tree Structure for Mining Erasable Patterns in Data Streams. Applied Intelligence, 49(2), 478-495, 2019
2018
15. Tuong Le, Anh Nguyen, Bao Huynh, Bay Vo, Witold Pedrycz. Mining Constrained Inter-Sequence Patterns: A Novel Approach to Cope with Item Constraints. Applied Intelligence, 48(5), 1327-1343, 2018
14. Tuong Le, Bay Vo, Sung Wook Baik. Efficient algorithms for mining top-rank-k erasable patterns using pruning strategies and the subsume concept. Engineering Applications of Artificial Intelligence, 68, 1-9, 2018
2017
13. Bay Vo, Tuong Le*, Witold Pedrycz, Giang Nguyen, Sung Wook Baik. Mining erasable itemsets with subset and superset itemset constraints. Expert Systems with Applications, 69, 50-61, 2017
12. Tung Kieu, Bay Vo, Tuong Le*, Zhi-Hong Deng, Bac Le. Mining top-k co-occurrence items with sequential pattern. Expert Systems with Applications, 85, 123-133, 2017
11. Bay Vo, Tuong Le*, Giang Nguyen, Tzung-Pei Hong. Efficient algorithms for mining erasable closed patterns from product datasets. IEEE Access, 5(1), 3111-3120, 2017
10. Bay Vo, Sang Pham, Tuong Le*, Zhi-Hong Deng. A novel approach for mining maximal frequent patterns. Expert Systems with Applications, 73, 178-186, 2017
2016
9. Tuong Le, Bay Vo. The lattice-based approaches for mining association rules: a review. WIREs Data Mining and Knowledge Discovery, 6(2), 140-151, 2016
8. Bay Vo, Tuong Le*, Frans Coenen, Tzung-Pei Hong. Mining frequent itemsets using the N-list and subsume concepts. International Journal of Machine Learning and Cybernetics, 7(2), 253-265, 2016
2015
7. Tuong Le, Bay Vo. An N-list-based algorithm for mining frequent closed patterns. Expert Systems with Applications, 42(19), 6648-6657, 2015
6. Giang Nguyen, Tuong Le*, Bay Vo, Bac Le. EIFDD: An efficient approach for erasable itemset mining of very dense datasets. Applied Intelligence, 43(1), 85-94, 2015
5. Bay Vo, Tuong Le*, Tzung-Pei Hong, Bac Le. Fast updated frequent-itemset lattice for transaction deletion. Data and Knowledge Engineering, 96-97, 78-89, 2015
4. Quyen Huynh, Tuong Le, Bay Vo, Bac Le. An efficient and effective algorithm for mining top-rank-k frequent patterns. Expert Systems with Applications, 42(1), 156-164, 2015
2014
3. Tuong Le, Bay Vo. MEI: An efficient algorithm for mining erasable itemsets. Engineering Applications of Artificial Intelligence, 27, 155-166, 2014
2. Bay Vo, Tuong Le, Tzung-Pei Hong, Bac Le. An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining. Applied Intelligence, 41(3), 759-775, 2014
1. Tuong Le, Bay Vo, Giang Nguyen. A survey of erasable itemset mining algorithms. WIREs Data Mining and Knowledge Discovery, 4(5), 356-379, 2014
*: corresponding author
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