Dr. Thanh-Dien Tran
Dr. Thanh-Dien Tranthanhdien@ctu.edu.vn
Tiến sĩ Trần Thanh Điện
Faculty of Information Systems
College of Information and Communication Technology, Can Tho University, Viet Nam
Address: 3/2 str., Ninh Kieu dist., Can Tho city, Vietnam. Tel: +84 7103 831301.
Research profiles: Google Scholar, ORCID

Teaching subjects

  • E-commerce
  • Digital Marketing
  • E-learning

Research topics

  • Recommender Systems
  • Educational Data Mining
  • Machine Learning

International Conferences, Journals, Book chapters

  1. Hai Thanh Nguyen, Tuyet Ngoc Huynh, Anh Duy Le, and Tran Thanh Dien, 2023. Topic classification based on scientific article structure: A case study at Can Tho University Journal of Science. The International Conference on Intelligent Systems and Data Science (ISDS 2023). Communications in Computer and Information Science. Springer Nature. Vol. 1949, pp. 208–215. E-ISSN: 1865-0937, P-ISSN: 1865-0929. DOI: 10.1007/978-981-99-7649-2_16 (Scopus, DBLP)
  2. Tran Thanh Dien, Nguyen Thanh-Hai and Nguyen Thai-Nghe, 2023. Novel Approaches for Searching and Recommending Learning Resources. Cybernetics and Information Technologies (CIT). Vol. 23, No. 2, pp. 151-169. E-ISSN: 1314-4081, P-ISSN: 1311-9702. DOI: 10.2478/cait-2023-0019 (Scopus, ESCI)
  3. Nguyen Thai-Nghe, Nguyen Thi Kim Xuyen, Tran Cong An, and Tran Thanh Dien, 2023. Dealing with new user problem using content-based Deep Matrix Factorization. The 36th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2023). Lecture Notes in Computer Science. Springer Nature. Vol. 13925, pp 177-188. E-ISSN: 1611-3349, P-ISSN: 0302-9743. DOI: 10.1007/978-3-031-36822-6_16 (Scopus)
  4. Tran Cong An, Tran Duc Thien, Nguyen Thai-Nghe, Tran Thanh Dien, Nguyen Thanh-Hai, 2023. Course recommendation based on Graph Convolutional Neural Network. The 36th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2023). Lecture Notes in Computer Science. Springer Nature. Vol. 13926, pp  235-240. E-ISSN: 1611-3349, P-ISSN: 0302-9743. DOI: 10.1007/978-3-031-36819-6_20 (Scopus)
  5. Hai Thanh Nguyen, Vi Hung Ngo, and Tran Thanh Dien, 2023. Context-Based and Collaboration-Based Product Recommendation Approaches for a Clothes Online Sale System. Machine Learning and Mechanics Based Soft Computing Applications. Studies in Computational Intelligence. Springer Nature. Vol. 1068, pp 41–52. E-ISSN: 1860-9503, P-ISSN: 1860-949X. DOI: 10.1007/978-981-19-6450-3_6 (Scopus) 
  6. Tran Thanh Dien, Nguyen Thanh-Hai and Nguyen Thai-Nghe, 2022. An approach for learning resource recommendation using deep matrix factorization. Journal of Information and Telecommunication, pp. 1-18. E-ISSN: 2475-1847, P-ISSN: 2475-1839. DOI: 10.1080/24751839.2022.2058250 (Scopus, ESCI)
  7. Nguyen Thai-Nghe, Nguyen Thanh-Hai, Tran Thanh Dien, 2022. Recommendations in E-Commerce Systems based on Deep Matrix Factorization. The 9th International Conference on Future Data and Security Engineering (FDSE 2022). Communications in Computer and Information Science. Springer Nature. Vol. 1688, pp. 419–431. E-ISSN: 1865-0937, P-ISSN: 1865-0929. DOI: 10.1007/978-981-19-8069-5_28 (Scopus, DBLP) 
  8. Nguyen Thanh-Hai, Le Anh Duy, Thai-Nghe Nguyen and Tran Thanh Dien, 2022. An Approach for Similarity Vietnamese Documents Detection from English Documents. The 9th International Conference on Future Data and Security Engineering (FDSE 2022). Communications in Computer and Information Science. Springer Nature. Vol. 1688, pp. 574–587. E-ISSN: 1865-0937, P-ISSN: 1865-0929. DOI: 10.1007/978-981-19-8069-5_39 (Scopus, DBLP) 
  9. Nguyen Thanh-Hai, Trinh Kieu Nguyen, Minh Tri Pham, Chi Le Hoang Tran, Tran Thanh Dien and Thai-Nghe Nguyen, 2022. Similar Vietnamese Document Detection in Online Assignment Submission System. The Third International Conference on Artificial Intelligence and Computational Intelligence (AICI 2022). Studies in Computational Intelligence. Springer Nature. Vol. 1045, pp. 251–264. E-ISSN: 1860-9503, P-ISSN: 1860-949X. DOI: 10.1007/978-3-031-08580-2_23 (Scopus) 
  10. Hai Thanh Nguyen, Linh Thuy Thi Pham, Truc Thuy Mai Nguyen, Vo Ngoc Kieu Trinh and Tran Thanh Dien, 2022. Letter Recognition in Hand Sign Language with VGG-16. The second International Conference on Intelligent Systems and Networks (ICISN 2022). Lecture Notes in Networks and Systems. Springer Nature. Vol. 471, pp. 410–417. E-ISSN: 2367-3389, P-ISSN: 2367-3370. DOI: 10.1007/978-981-19-3394-3_47 (Scopus) 
  11. Hai Thanh Nguyen, Tan Nguyen Lam Thanh, Tai Le Ngoc, Anh Duy Le, and Tran Thanh Dien, 2022. Evaluation on Noise Reduction in Subtitle Generator for Videos. The 16th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2022). Lecture Notes in Networks and Systems. Springer Nature. Vol. 496, pp. 140–150. E-ISSN: 2367-3389, P-ISSN: 2367-3370. DOI: 10.1007/978-3-031-08819-3_14 (Scopus, DBLP) 
  12. Tran Thanh Dien, Pham Huu Phuoc, Nguyen Thanh-Hai, Nguyen Thai-Nghe, 2021. Personalized Student Performance Prediction Using Multivariate Long Short-Term Memory. The 8th International Conference on Future Data and Security Engineering (FDSE 2021). Communications in Computer and Information Science. Springer Nature. Vol. 1500, pp. 238-247. E-ISSN: 1865-0937, P-ISSN: 1865-0929. DOI: 10.1007/978-981-16-8062-5_16 (Scopus, DBLP) 
  13. Tran Thanh Dien, Nguyen Thanh-Hai and Nguyen Thai-Nghe, 2021. Deep Matrix Factorization for Learning Resources Recommendation. 13th International Conference on Computational Collective Intelligence (ICCCI 2021). Lecture Notes in Computer Science. Springer Nature. Vol. 12876, pp. 167-179. E-ISSN: 1611-3349, P-ISSN: 0302-9743. DOI: 10.1007/978-3-030-88081-1_13 (Scopus, DBLP)
  14. Tran Thanh Dien, Le Duy-Anh, Nguyen Hong-Phat, Nguyen Van-Tuan, Trinh Thanh-Chanh, Le Minh-Bang, Nguyen Thanh-Hai and Nguyen Thai-Nghe, 2021. Four Grade Levels-based Models with Random Forest for Student Performance Prediction at a Multidisciplinary University. The 15th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS 2021). Lecture Notes in Networks and Systems. Springer Nature. Vol. 278, pp. 1-12. E-ISSN: 2367-3389, P-ISSN: 2367-3370. DOI: 10.1007/978-3-030-79725-6_1 (Scopus, DBLP)
  15. Hai Thanh Nguyen, Toan Tran, Nhi Phan Kim Yen, Tran Thanh Dien and Thai-Nghe Nguyen, 2021. Feature Selection Based on Shapley Additive Explanations on Metagenomic Data for Colorectal Cancer Diagnosis. The Second International Conference on Artificial Intelligence and Computational Intelligence (AICI 2021). Studies in Computational Intelligence. Springer Nature. Vol. 981,  pp. 69-80. E-ISSN: 1860-9503, P-ISSN: 1860-949X. DOI: 10.1007/978-3-030-76620-7_6 (Scopus)
  16. Tran Thanh Dien, Luu Hoai Sang, Thanh Hai Nguyen, Nguyen Thai-Nghe. 2020. Course Recommendation with Deep Learning Approach. The 7th International Conference on Future Data and Security Engineering (FDSE 2020). Communications in Computer and Information Science. Springer Nature. Vol. 1306, pp. 63-77. E-ISSN: 1865-0937, P-ISSN: 1865-0929. DOI: 10.1007/978-981-33-4370-2_5 (Scopus, DBLP) 
  17. Tran Thanh Dien, Luu Hoai Sang, Thanh Hai Nguyen, Nguyen Thai-Nghe, 2020. Deep Learning with Data Transformation and Factor Analysis for Student Performance Prediction. International Journal of Advanced Computer Science and Applications (IJACSA). Vol. 11, No. 8, pp. 711-721. E-ISSN: 2156-5570, P-ISSN: 2158-107X. DOI: 10.14569/IJACSA.2020.0110886 (Scopus; ESCI)
  18. Tran Thanh Dien, Thanh Hai Nguyen, Nguyen Thai-Nghe, 2020. Deep Learning Approach for Automatic Topic Classification in An Online Submission System. Advances in Science, Technology and Engineering Systems Journal, Vol. 5, No. 4, pp. 700-709. ISSN: 2415-6698. DOI: 10.25046/aj050483 (Scopus)
  19. Tran Thanh Dien, Huynh Ngoc Han and Nguyen Thai-Nghe, 2019. An Approach for Plagiarism Detection in Learning Resources. The 6th International Conference on Future Data and Security Engineering (FDSE 2019). Lecture Notes in Computer Science. Springer Nature. Vol. 11814, pp. 722-730. E-ISSN: 1611-3349, P-ISSN: 0302-9743. DOI: 10.1007/978-3-030-35653-8_52 (Scopus, DBLP)
  20. Tran Thanh Dien, Le Van Trung, Nguyen Thai-Nghe, 2020. An approach for semantic-based searching in learning resources. The 12th IEEE International Conference on Knowledge and Systems Engineering (KSE 2020), pp 183-188, IEEE. ISBN: 978-1-7281-4510-5. DOI: 10.1109/KSE50997.2020.9287798 (Scopus, DBLP)
  21. Tran Thanh Dien, Bui Huu Loc and Nguyen Thai-Nghe, 2019. Article Classification using Natural Language Processing and Machine Learning. 2019 International Conference on Advanced Computing and Applications (ACOMP), pp. 78-84. ISBN: 978-1-7281-4723-9. DOI: 10.1109/ACOMP.2019.00019 (Scopus, DBLP)
  22. Tran Thanh Dien, 2010. Effectiveness of an Online Learning Environment: A framework for measuring effectiveness of an online learning environment: A case study of Can Tho University. LAP LAMBERT Academic Publishing, Editor: Vciumacenco. ISBN: 978-3-8383-8046-9.

National Conferences, Journals, Book chapters

  1. Trần Thanh Điện, Nguyễn Ngọc Tuấn, Nguyễn Thanh Hải, Nguyễn Thái Nghe, 2020. Tăng tốc tìm kiếm tài nguyên học tập theo nội dung bằng kỹ thuật xử lý dữ liệu lớn. Kỷ yếu Hội thảo khoa học Quốc Gia lần thứ 9: Công nghệ Thông tin và Ứng dụng trong các lĩnh vực (CITA 2020). Trang 171-178. Nhà xuất bản Đà Nẵng. ISBN: 978-604-84-5517-0.
  2. Lưu Hoài Sang, Trần Thanh Điện, Nguyễn Thanh Hải và Nguyễn Thái Nghe, 2020. Dự báo kết quả học tập bằng kỹ thuật học sâu với mạng nơ-ron đa tầng. Tạp chí Khoa học Trường Đại học Cần Thơ. 56(3A): 20-28. DOI: 10.22144/ctu.jvn.2020.049
  3. Nguyễn Thanh Hải, Trịnh Thị Tuyết Lan, Trần Bảo Toàn, Phan Kim Yến Nhi, Trần Thanh Điện, Nguyễn Thái Nghe, 2020. Giải pháp điểm danh Sinh viên bằng Nhận dạng gương mặt với đặc trưng Haar-like Kết hợp thuật toán Rừng Ngẫu Nhiên. Kỷ yếu Hội thảo khoa học Quốc Gia lần thứ 9: Công nghệ Thông tin và Ứng dụng trong các lĩnh vực (CITA 2020). Trang 179-186. Nhà xuất bản Đà Nẵng. ISBN: 978-604-84-5517-0.
  4. Trần Thanh Điện, Thái Nhựt Thanh và Nguyễn Thái Nghe, 2019. Giải pháp phân loại bài báo khoa học bằng kĩ thuật máy học. Tạp chí Khoa học Trường Đại học Cần Thơ. ISSN 1859–2333. Số 55(4A): 29-37. DOI: 10.22144/ctu.jvn.2019.093
  5. Trần Thanh Điện và Nguyễn Thái Nghe, 2017. Các mô hình e-learning hỗ trợ dạy và học. Tạp chí Khoa học Trường Đại học Cần Thơ. Số chuyên đề: Công nghệ thông tin 2017: 103-111. ISSN 1859 – 2333. DOI: 10.22144/ctu.jsi.2017.014
  6. Trần Minh Tân, Nguyễn Văn Linh, Trần Thanh Điện, Lưu Trùng Dương, 2014. Một hướng tiếp cận sử dụng mã nguồn mở moodle hỗ trợ giảng dạy và đánh giá tại Trường Đại học Cần Thơ. Tạp chí Khoa học Trường Đại học Cần Thơ. ISSN 1859–2333. Số 31: 62-71. 
  7. Trương Quốc Định , Nguyễn Thái Nghe, Nguyễn Thanh Hải, Trần Thanh Điện, Sử Kim Anh, 2020. Thương mại điện tử. Nhà xuất bản Đại học Cần Thơ. ISBN: 978-604-965-352-0