Research

description logics, OWL, inductive logic programming, applied machine learning, morphological operations

Textbooks

1. Trần Công Án (Chủ biên), Phạm Thế Phi, Nguyễn Thanh Hải, Thái Minh Tuấn. Giáo trình Nguyên lý Hệ quản trị Cơ sở dữ liệu. Nhà xuất bản đại học Cần Thơ, 2020.

2. Trần Công Án (Chủ biên), Nguyễn Hữu Vân Long. Giáo trình Công nghệ J2EE. Nhà xuất bản Đại học Cần Thơ, 2019.

3. Trần Công Án (Chủ biên), Nguyễn Công Huy. Giáo trình Lập trình Hướng đối tượng. Nhà xuất bản Đại học Cần Thơ, 2016.

4.  Đỗ Thanh Nghị (Chủ biên), Trần Công Án, Phan Thượng Cang, Lâm Chí Nguyện. Giáo trình Lập trình Web. Nhà xuất bản Đại học Cần Thơ, 2015.

Publications

1. Tran, A. C., & Tran, N. C. (2025). VeinKAN: A Finger Vein Recognition Model Based on Kolmogorov–Arnold Networks. Applied Computer Systems, 30(1), 68-74.

2. An Cong Tran, Binh Diep-Phuoc, Hai Thanh Nguyen. Ontology-Based Semantic Search for Physics Subject: A Case Study at a Vietnamese High School. Knowl. Organ. 2025, 52(2), 40034. https://doi.org/10.31083/KO40034

3. An C. Tran, Bao Thai Le & Hai Thanh Nguyen (2024). Efficiency evaluation of filter sizes on graph convolutional neural networks for information extraction from receipts.  International Journal of Information Technology. https://doi.org/10.1007/s41870-024-02089-1 (ISSN: 2511-2112)

4. Tran, A.C., Nguyen-Van, L. & Duong-Trung, N. (2023), Towards real-time secured IP camera via state machine architecture. Int. j. inf. tecnol., vol 16. https://doi.org/10.1007/s41870-023-01573-4 (ISSN: 2511-2112)

5. Tran, An Cong, et al. "Blockchain-Based Platform for IoT Sensor Data Management." International Conference on Intelligent Systems and Data Science. Singapore: Springer Nature Singapore, 2023 (ISBN: 978-981-99-7649-2, ISSN: 1865-0929 )

6. An C. Tran, Thien Khai Tran, Nguyen Minh Nhut & Nguyen Huu Van Long (2023), Building a deep ontology-based herbal medicinal plant search system. International Journal of Information Technology, volume 15, pages 2209–2223 (2023). https://doi.org/10.1007/s41870-023-01250-6

7. An Cong Tran, Duc-Thien Tran, Nguyen Thai-Nghe, Tran Thanh Dien, and Hai Thanh Nguyen (2023), Course Recommendation Based on Graph Convolutional Neural Network. In: 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023 (ISBN: 978-3-031-36819-6, ISSN: 0302-9743)

8. An Cong Tran, Thuy Mong Nguyen-Thi, Nguyen Huu Van Long, and Hai Thanh Nguyen (2023), A Transfer Learning-Based Approach for Rice Plant Disease Detection. In: 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023 (ISBN: 978-3-031-36819-6, ISSN: 0302-9743)

9. Nguyen Thai-Nghe, Nguyen Thi Kim Xuyen, An Cong Tran, and Tran Thanh Dien (2023), Dealing with New User Problem Using Content-Based Deep Matrix Factorization. In: 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023 (ISBN: 978-3-031-36822-6, ISSN: 0302-9743)

10. An Cong Tran, Thanh Trinh Thi Kim, and Hai Thanh Nguyen (2023), An Image-Based Rice Weighing Estimation Approach on Clock Type Weighing Scale Using Deep Learning and Geometric Transformations, Adv. technol. innov., Feb. 2023. https://doi.org/10.46604/aiti.2023.10926 - Scopus (ISSN: 2415-0436)

11. Tran, A.C., Lam, L.P., Nguyen, H.T. (2023). Medical Records Sharing System Based on Blockchain: A Case Study in Vietnam. In: So-In, C., Londhe, N.D., Bhatt, N., Kitsing, M. (eds) Information Systems for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 324. Springer, Singapore. https://doi.org/10.1007/978-981-19-7447-2_16 (ISBN: 978-981-19-7447-2, ISSN: 2190-3018)

12. Tran, A.C., Thanh, V.V., Tran, N.C., Nguyen, H.T. (2022). An Implementation and Evaluation of Layer 2 for Ethereum with zk-Rollup. In: Dinh, T.N., Li, M. (eds) Computational Data and Social Networks. CSoNet 2022. Lecture Notes in Computer Science, vol 13831. Springer, Cham. https://doi.org/10.1007/978-3-031-26303-3_10 (ISBN: 978-3-031-26303-3, ISSN: 0302-9743)

13. Tran, An Cong, Chau, Anh Nhut Nguyen, Tran, Nghi Cong and Nguyen, Hai Thanh (2022). "An Approach for Counting Breeding Eels Using Mathematical Morphology Operations and Boundary Detection". Applied Computer Systems, vol.27, no.2, pp.110-118. https://doi.org/10.2478/acss-2022-0012 - ISI indexing

14. A. C. Tran, L. P. Son, D. T. Lam, N. C. Tran and H. T. Nguyen (2022), Human Voice Recognition for Subtitle Generators on Khmer and Vietnamese Newsletter Videos, 2022 RIVF International Conference on Computing and Communication Technologies (RIVF), Ho Chi Minh City, Vietnam, pp. 124-129, doi: 10.1109/RIVF55975.2022.10013914.

15. Tran, A. C., Ho, L. T., & Nguyen, H. T. (2022). Information Extraction from Invoices by using a Graph Convolutional Neural Network: A Case Study of Vietnamese Stores. IEIE Transactions on Smart Processing & Computing, 11(5), 316-323 - Scopus

16. Tran, A.C., Ngo, T.H., Nguyen, H.T. (2022). Social Distancing Violation Detection in Video Using ChessBoard and Bird’s-eye Perspective. In: Dang, T.K., Küng, J., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2022. Communications in Computer and Information Science, vol 1688. Springer, Singapore. https://doi.org/10.1007/978-981-19-8069-5_31 (ISBN: 978-981-19-8069-5, ISSN: 1865-0929)

17. Tran A.C., V. -Q. -B. Bui, H. G. Huy, H. Van Kieng and V. L. N. Huu (2021), A Model for Car Registration System based on Blockchain Technology, 2021 15th International Conference on Advanced Computing and Applications (ACOMP), pp. 210-214, doi: 10.1109/ACOMP53746.2021.00038.

18. Tran A.C., Van Kieng H., Mai D.X., Huu V.L.N. (2021) A Consortium Blockchain-Based Platform for Academic Certificate Verification. In: Dang T.K., Küng J., Chung T.M., Takizawa M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2021. Communications in Computer and Information Science, vol 1500. Springer, Singapore. https://doi.org/10.1007/978-981-16-8062-5_23 (ISBN: 978-981-16-8062-5, ISSN: 0302-9743)

19. Tran A.C., Nguyen H.T., Huu V.L.N., Duong-Trung N. (2021) Pesticide Label Detection Using Bounding Prediction-Based Deep Convolutional Networks. In: Dang T.K., Küng J., Chung T.M., Takizawa M. (eds) Future Data and Security Engineering. FDSE 2021. Lecture Notes in Computer Science, vol 13076. Springer, Cham. https://doi.org/10.1007/978-3-030-91387-8_13 (ISBN: 978-3-030-91387-8, ISSN: 0302-9743)

20. Tran, T.K.; Dinh, H.; Nguyen, H.; Le, D.-N.; Nguyen, D.-K.; Tran, A.C.; Nguyen-Hoang, V.; Nguyen Thi Thu, H.; Hung, D.; Tieu, S.; Khuu, C.; Nguyen, T.A. The Impact of the COVID-19 Pandemic on College Students: An Online Survey. Sustainability 2021, 13, 10762. https://doi.org/10.3390/su131910762 - ISI Indexing

21. Tran A.C., Fukuzawa M. (2020) Ontology-Based Shrimp and Fish Diseases Diagnosis. In: Dang T.K., Küng J., Takizawa M., Chung T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2020. Communications in Computer and Information Science, vol 1306. Springer, Singapore. https://doi.org/10.1007/978-981-33-4370-2_11 (ISBN: 978-981-33-4370-2, ISSN: 1865-0929)

22. Tran A.C., Tran N.C., Duong-Trung N. (2020) Recognition and Quantity Estimation of Pastry Images Using Pre-training Deep Convolutional Networks. In: Dang T.K., Küng J., Takizawa M., Chung T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2020. Communications in Computer and Information Science, vol 1306. Springer, Singapore. https://doi.org/10.1007/978-981-33-4370-2_15, (ISBN: 978-981-33-4370-2, ISSN: 1865-0929).

23. Tran, A. C., Thoa, P. K., Tran, N. C., & Duong-Trung, N. (2020, November). Real-time Recognition of Medicinal Plant Leaves Using Bounding-box Based Models. In 2020 International Conference on Advanced Computing and Applications (ACOMP) (pp. 34-41). IEEE. https://doi.org/10.1109/ACOMP50827.2020.00013, (ISBN: 978-1-7281-8167-7)

24. Thanh-Hai N., Tran T.B., Tran A.C., Thai-Nghe N. (2020) Feature Selection Using Local Interpretable Model-Agnostic Explanations on Metagenomic Data. In: Dang T.K., Küng J., Takizawa M., Chung T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2020. Communications in Computer and Information Science, vol 1306. Springer, Singapore. https://doi.org/10.1007/978-981-33-4370-2_24

25. An C. Tran, Duong Lu Dien, Hiep Xuan Huynh, Nguyen Huu Van Long, Nghi C. Tran. A Model for Real-time Traffic Signs Recognition based on the YOLO Algorithm - A Case Study using Vietnamese Traffic Signs, In Proceeding of The 6th International Conference on Future Data and Security Engineering (FDSE-2019), pp 104--116, Springer, 2019 (ISSN: 1611-3349). https://doi.org/10.1007/978-3-030-35653-8_8

26. Nghi Cong Tran, An Cong Tran, Nguyen Huu Van Long, Hiep Xuan Huynh. Counting Brown Planthoppers in Light-Trap Images Using Morphological Operations. EAI Endorsed Transactions on Context-aware Systems and Applications, 6(17), 2019 (ISSN: 2409-0026). http://dx.doi.org/10.4108/eai.13-7-2018.159352

27. An C. Tran, Pham Thi Xuan Diem, Le Thi Thu Lan, Tran Van Toi, Lam Duong Quoc Binh. Building a Product Origins Tracking System based on Blockchain and PoA Consensus Protocol. In Proceedings of The International Conference on Advanced Computing and Applications 2019 (ACOMP-2019), pp. 27--33, IEEE, 2019 (ISBN: 978-1-7281-4723-9). https://doi.org/10.1109/ACOMP.2019.00012

28. An C. Tran, Hans W. Guesgen, Jens Dietrich, Stephen Marsland. Symmetric Parallel Class Expression Learning. Journal of Machine Learning Research (JMLR),  18(64):1−34, 2017 (ISSN: 1532-4435) - ISI indexing.

29. An C. Tran, Nghi C. Tran, Hiep X. Huynh. A Morphological Approach to Counting BPH in Light-Trap Images with Overlapping Individuals. In Proceedings of The 11th International Conference on Advanced Computing and Applications (ACOMP-2017), pp. 10--15, IEEE, 2017 (ISBN: 978-1-5386-0606-3). https://doi.org/10.1109/ACOMP.2017.16

30. An C. Tran, Phuc M. Lu, Duc D. Thanh, Hung B. Ngo, Chien D. Le, Diem T. D. Pham, Pha B. Son, Long H. V. Nguyen. Elderly fall detection based on accelerometer and long short-term memory (Phát hiện té ngã cho người cao tuổi bằng gia tốc kế và mô hình học sâu Long Short-Term Memory.). Can Tho University Journal of Science, 2017(2017), pp. 65--71, 2017 (ISSN: 1859-2333), in Vietnamese.

31. Phuc M. Lu, An C. Tran. Semantic content-based image search (Tìm kiếm ảnh theo nội dung và ngữ nghĩa). Can Tho University Journal of Science, 2017(2017), pp. 58--64, 2017 (ISSN: 1859-2333), in Vietnamese.

32. An C. Tran, Mai T.N. Tong, Lan, T. T. Le. Learning lightweight ontology from the glossary (Xây dựng ontology tự động từ bảng chú giải). Can Tho University Journal of Science, 2017(2017), pp. 133--139, 2017, in Vietnamese (ISSN: 1859-2333).

33. Chien D. Le, Lam V. Le, An C. Tran. Cow behaviour recognition using accelerometer and random forest algorithm (Nhận dạng hành vi của bò sử dụng gia tốc kế và giải thuật máy học rừng ngẫu nhiên). Can Tho University Journal of Science, 2017(2017), pp. 58--64, 2017, in Vietnamese (ISSN: 1859-2333).

34. Long H. V. Nguyen , Anh T. Nguyen, Nguyen H. Truong, Phuong M. Ly, An C. Tran, Hung B. Ngo. Evaluating and selecting an appropriate open source software to build an enterprise service bus (Lựa chọn nền tảng phần mềm nguồn mở xây dựng trục tích hợp ứng dụng và dịch vụ). Can Tho University Journal of Science, 2017(2017), pp. 72-79, 2017, in Vietnamese (ISSN: 1859-2333).

35. Nghi C. Tran, An C. Tran, Hiep X. Huynh. An Approach to Counting Brown Planthopper in Images Containing Overlapping Individuals. In Proceedings of The 2016 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF 2016) Addendum, 2016.

36. An C. Tran, Nghi C. Tran, Hiep X. Huynh. An Approach to Detecting Brown Plant Hopper Based on Morphological Operations. In Proceedings of The 2nd EAI International Conference on Nature of Computation and Communication (ICTCC-2016), Lecture Notes of ICST, Springer, 2016 (ISBN: 978-3-319-46909-6). https://doi.org/10.1007/978-3-319-46909-6_6

37. Trần Công Án. Máy học logic mô tả: Kỹ thuật và Ứng dụng. Nghiên cứu và ứng dụng công nghệ thông tin ở Đồng bằng sông Cửu Long - Trần Cao Đệ (Chủ biên). Nhà xuất bản Đại học Cần Thơ, pp.21-47, 2015 (ISBN 978-604-919-637-9).

38. Trần Công Nghị, Trần Công Án, Huỳnh Xuân Hiệp. Phương pháp khử nhiễu trong phát hiện quần thể rầy nâu dựa trên xử lý ảnh hình thái. Tạp chí Khoa học, Đại học Cần Thơ, 2015 (ISSN: 1859-2333).

39. Trần Công Nghị, Trần Công Án, Huỳnh Xuân Hiệp. Phát hiện phổ quần thể rầy nâu dựa trên tiếp cận xử lý ảnh hình thái. Kỷ yếu hội nghị khoa học công nghệ quốc gia lần thứ VIII (FAIR 2015). pp. 555-563, 2015 (ISBN: 978-604-913-397-8)

40. An C. Tran. Application of Description Logic Learning in Abnormal Behaviour Detection in Smart Homes. In Proceedings of The 2015 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF 2015), pp. 7-12, 2015 (ISBN: 978-1-4799-8044-7). https://doi.org/10.1109/RIVF.2015.7049866

41. Trần Công Án. Máy học song song cho logic mô tả. Kỷ yếu hội thảo quốc gia lần thứ XVII: Một số vấn đề chọc lọc của CNTT&TT (@2014). Nhà xuất bản Khoa học và kỹ thuật, pp. 82--87, 2014.

42. Tran, C. An and Dietrich, Jens and Guesgen, Hans W and Marsland, Stephen. Improving Predictive Specificity of Description Logic Learner by Fortification. Journal of Machine Learning Research - Proceedings Track, volume 29, pp. 419-434, 2013 (ISSN: 1938-7228). 

43. Tran, C. An and Dietrich, Jens and Guesgen, Hans W and Marsland, Stephen. An Approach to Numerical Refinement in Description Logic Learning for Learning Activities Duration in Smart Homes. In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13) Workshop on Space, Time and Ambient Intelligence, pp. 22--28, 2013.

44. Tran, C. An and Dietrich, Jens and Guesgen, Hans W and Marsland, Stephen. Two-way Parallel Class Expression Learning. Journal of Machine Learning Research - Proceeding Track, volume 25, pp. 443--458, 2012 (ISSN: 1938-7228)

45. Tran, C. An and Dietrich, Jens and Guesgen, Hans W and Marsland, Stephen. An approach to parallel class expression learning. In Rules on the Web: Research and Applications, pp. 302--316, 2012, Springer (ISBN 978-3-642-32689-9).

46. Lyons, Paul and, Tran C. An and Steinhauer, H Joe and Marsland, Stephen and Dietrich, Jens and Guesgen, Hans W. Exploring the responsibilities of single-inhabitant Smart Homes with Use Cases. Journal of Ambient Intelligence and Smart Environments, 2(3), pp. 211--232, 2010, IOS Press (ISSN: 1876-1364), ISI indexing.

47. Tran, C. An and Marsland, Stephen and Dietrich, Jens and Guesgen, Hans W and Lyons, Paul. Use cases for abnormal behaviour detection in smart homes. In Aging Friendly Technology for Health and Independence, pp. 144--151, 2010, Springer (ISBN: 978-3-642- 13777-8). 

Francesca Toni, Antonio Tabasco, Donata Pedrazzani, María Julia Yagüe, Tran Cong An, Phan Minh Dung, Nguyen Duy Hung, Vo Duy Khoi, Phan Minh Thang. eBusiness application scenarios. ArguGRID deliverable D.1.2, Technical report, ArguGRID, 2007.

Reviewer

• Journal of Universal Computer Science.

• The International Conference on Intelligent Environments.

• The International Symposium on Rules: Research-Based and Industry Focus.

• The book Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security, IGI Global.

• The IEEE-RIVF International Conference on Computing and Communication Technologies.

• Journal of Computer Science and Cybernetics.

• PLOS ONE (medicine) journal.

• The International Conference on Advanced Computing and Applications (ACOMP).