Research Activities

Current Projects:

    Ongoing:

  1. ANR CHAIRE IA BE4musIA project (2020-2025) . This project has received funding from the CNRS in France. The aim of this project is to perform an analysis of pieces of information coming from different sources.
  2. H2020 STARWARS Project (2023-2026). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the MSCA (Marie Skłodowska-Curie Actions, Staff Exchanges)-SE (Staff Exchanges) grant agreement No 101086252; Project title: STARWARS (STormwAteR and WastewAteR networkS heterogeneous data AI-driven management).

    3. Completed:

  3. AniAge project (2016-2020) (Horizon 2020, European commission - H2020-MSCA-RISE-2015). Focused on representing knowledge regarding Vietnamese Traditional Dances videos

Recent Publications:

    2023

  1. R. Mohamed, T-T. Ma, Z. Bouraoui. An Application of Priority-Based Lightweight Ontology Merging. In Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART'23). 2023

    2. 2022

  2. Q. P. Vu Le, M. T. Tran Nguyen, N.K. Pham, V.D. Nguyen. Combine classification algorithm and Centernet model to predict trafic density. Communications in Computer and Information Science (Number In Tran Khanh Dang, Josef Küng, Tai M. Chung (Eds.)). 588-600. 2022
  3. Z. Bouraoui, S. Konieczny, T. -T. Ma, and I. Varzinczak, Tree Edit Distance Based Ontology Merging Evaluation Framework. In Proceedings of the 15th International Conference on Knowledge Science, Engineering and Management (KSEM’ 2022). Singapore. 2022.
  4. Z. Bouraoui, S. Konieczny, T. -T. Ma, N. Schwind, and I. Varzinczak, Region-Based Merging of Open-Domain Terminological Knowledge. In Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning (KR’22). Israel. 2022
  5. S. Benferhet, Z. Bouraoui, K. Tabia, T. -T. MaRepresenting Vietnamese Traditional Dances and handling inconsistent information. In Proceedings of 19th the International conference on information processing and management of uncertainty in knowledge-based systems (IPMU’22). Italy. 2022.
  6. TN. Do , M. T. Tran Nguyen. ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models. Communications in Computer and Information Science (Number of Tran Khanh Dang, Josef Küng, Tai M. Chung). 131-144. 2022
  7. N.-K. Pham, J.-H. Chauchat, J. Dumais. Correspondence Analysis Visualization, CHANCE, 35:2, 50-52. 2022

    8. 2021

  8. N-K.Pham., and Edwin A. Peraza Hernandez. Modeling and design exploration of a tensegrity-based twisting wing. Journal of Mechanisms and Robotics. 2021.
  9. V.L. Cu, X.V. Truong, T.D. Luu, H.V. Nguyen. Region Awareness for Identifying and Extracting Text in the Natural Scene. Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021. 2021
  10. Q. P. Vu Le, M.T. Tran Nguyen, N.K. Pham, N.T. Bui, K.H. Nguyen. Estimating the Traffic Density from Traffic Cameras. Communications in Computer and Information Science (Number 1500). 248-263. 2021
  11. T. -T. Ma, N-K. Chau, Z. Bouraoui, T-N. Do, A Vietnamese Festival Preservation Application. 15th International Conference on Information Technology and Applications (ICITA’21), Dubai, UAE, 2021.
  12. T.N. Do, T.P. Pham, H.H. Nguyen, N.K. Pham. Visual Classification of Intangible Cultural Heritage Images in the Mekong Delta. Data Analytics for Cultural Heritage: Current Trends and Concepts. 71-89. 2021
  13. W. Ho, P.N.Khang, D.H. Lee, Y. Kim. Proposition for LMS Integration for Share, Exchange, and Spread of Online Lectures under Covid-19 Environment. International Journal on Informatics Visualization. 475-480. 2021
  14. N.K. Pham, J.H Chauchat. Une application multilingue pour la visualisation et l'analyse graphique de matrices de données. Extraction et Gestion des Connaissances, EGC 2021, Montpelier, France, 01/2021. 469-475. 2021
  15. T.N.Do, M.T. Tran Nguyen. Training Deep Network Models for Fingerprint Image Classification. Lecture Notes in Networks and Systems. 327-337. 2021
  16. T.N. Do, M.T. Tran Nguyen, T.T. Trang, T.T. Vo. Deep Networks for Monitoring Waterway Traffic in the Mekong Delta. Lecture Notes in Networks and Systems. 315-326. 2021
  17. M.T. Tran Nguyen, T.N. Do. Multi-agent simulation model predicts urban development. The national Conference on Basic and Applied Information Technology (FAIR), HCM, 2021. 291-298. 2021 (Vietnamese)
  18. M.T. Tran Nguyen, X.H. Pham, D.K. nguyen, H.H. Nguyen. Forecasting the water level of Can Tho river based on flow characteristics and model collection method. The national Conference on Basic and Applied Information Technology (FAIR), HCM, 2021. 291-298. 2021 (Vietnamese)
  19. Trung, N. D., Thien, T. D., Luu, T. D., & Huynh, H. X. "Black Friday sale prediction via extreme gradient boosted trees." Proceedings of the 12th National Conference on Basic and Applied Research in Information Technology (FAIR). Vol. 6. 2021.

    20. 2020 or Earlier

  20. Z. Bouraoui, S. Konieczny, T. -T. Ma and I. Varzinczak, "Model-based Merging of Open-Domain Ontologies," 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI’20), Baltimore, MD, USA, 2020, pp. 29-34.
  21. Z. Bouraoui, S. Konieczny, T.-T Ma, I. Varzinczak. An application for merging open-domain ontologies. In Proceedings of the Journees d’Intelligence Artificielle Fondamentale, pp. 79-88. Angers, France. 2020. (JIAF@PFIA’20).
  22. N-K. Chau, T.-T Ma. An Automatic Detection of Fundamental Postures in Vietnamese Traditional Dances. In Proceedings of 9th International Conference on Information Technology Convergence and Services (ITCSE’ 2020). DOI: 10.5121/csit.2020.100524. USA. 2020
  23. T.P. Pham , M.T. Tran, T.N. Do , M.T. Tran Nguyen. Combining Support Vector Machines for Classifying Fingerprint Images. Future Data and Security Engineering (Vol Tran Khanh DangJosef KüngMakoto TakizawaTai M. Chung), 2020, pp 399-410. Q2
  24. T.N. Do , T.P. Pham , M.T. Tran Nguyen. Fine-tuning Deep Network Models for Classifying Fingerprint Images. KSE, 2020, pp 79-84.
  25. M.T. Tran Nguyen, T.N. Do, L.D Bui. Decision trees using local support vector regression models for large datasets. Journal of Information & Telecommunication, 2019, Pp 1-19
  26. T.-T. Ma, R. Mohamed, and Z. Bouraoui. On the Fusion of Prioritized EL Ontologies In Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS’19), Sorrento, Italy, 2019, pp. 341-347, doi: 10.1109/SITIS.2019.00062.
  27. T.-T Ma, S. Benferhat, Z. Bouraoui, K. Tabia, T. Do and N. Pham, "An Automatic Extraction Tool for Ethnic Vietnamese Thai Dances Concepts," 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA’19), Boca Raton, FL, USA, 2019, pp. 1527-1530, doi: 10.1109/ICMLA.2019.00252.
  28. T.-T. Pham, S. Benferhat, M. T. Chau, T.-T. Ma, K. Tabia , H. Le Thanh. On the Detection of Video's Ethnic Vietnamese Thai Dance Movements. In Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS’19), Sorrento, Italy, 2019, pp. 355-362, doi: 10.1109/SITIS.2019.00064.
  29. P. Sribunthankul, P. Sureephong, K. Tabia, T-T Ma. Developing the Evaluation System of the Thai Dance Training Tool. 163-167. 10.1109/ECTI-NCON.2019.8692245. Thailand, 2019.
  30. Duong-Trung, N., Hoang, X.N., Tu, T.B.T., Minh, K.N., Tran, V.U. and Luu, T.D. Blueprinting the workflow of medical diagnosis through the lens of machine learning perspective. In 2019 International Conference on Advanced Computing and Applications (ACOMP) (pp. 23-26). IEEE. 2019.
  31. M.T. Tran Nguyen, T.N. Do, L.D. Bui, Yong-Gi Kim. Decision Tree Using Local Support Vector Regression for Large Datasets. Intelligent Information and Database Systems, 2018, pp 255-265.
  32. T.-T. Ma, S. Benferhat, Z. Bouraoui, K. Tabia, T-N. Do and H-H. Nguyen. An Ontology-based Modelling of Vietnamese Traditional Dances. In Proceedings of the 30th Intl Conf. on Software Engineering & Knowledge Engineering (SEKE’18), 2018.
  33. T.-T. Ma, S. Benferhat, Z. Bouraoui, T-N. Do and H-H. Nguyen. Developing Application Based Upon An Ontology-Based Modelling of Vietnamese Traditional Dances. In Proceedings of the 3rd International Congress & Expo. Digital Heritage (DH'18), 2018.
  34. T.N. Do, M.T. Tran Nguyen. Automatic Hyper-parameters Tuning for Local Support Vector Machines. Intl Conf. on Future Data and Security Engineering 2018, 2018, pp 185-199.
  35. L.D. Bui, T.N. Do, M.T. Tran Nguyen, Y-G. Kim, Parallel algorithm of local support vector regression for large datasets, FDSE 2017, pp 139-153
  36. T.-T. Ma, T-N. Do, N-K. Pham, N-K. Chau. Controlling Robot P3-DX with MFCC and NBNN. In Proceedings of the National Symposium Fundamental and Applied IT Research, Vietnam, 2015, pp. 197-206 (FAIR'15).
  37. T.-T. Ma, N-K. Pham, C-N. Lam, T-N. Trieu, D-A. Ha and T-N. Do. Controlling Robot Pioneer P3-DX to track object. Journal of Cantho University, 11-19, 2013.