Dr. Minh-Khiem Nguyen

Dr. Minh-Khiem Nguyen

Vietnamese name
Tiến sĩ Nguyễn Minh Khiêm
Tel
+84 7103 831301
Faculty
Faculty of Information Systems
College
College of Information and Communication Technology, Can Tho University, Viet Nam
Address
3/2 str., Ninh Kieu dist., Can Tho city, Vietnam.
ORCIDResearchGate

Research Topics

  • GIS
  • Machine learning
  • Information technology for fisheries
  • Remote sensing

Teaching

  • Database, DBMS
  • UML
  • Production Management Systems
  • Application programming
  • E-commerce
  • Human-Computer Interface

Research Projects

  • Ứng dụng trí tuệ nhân tạo và kỹ thuật nâng cao chất lượng ảnh trong nhận dạng, đếm và phân loại độ chín của cà chua — Đại học Cần Thơ (Chủ nhiệm) — 2025-07-31T17:00:00.000Z–2025-11-30T17:00:00.000Z

Books / Proceedings

  1. Cơ sở dữ liệu

Publications

  1. Khiem, N.M., Van Thanh, T., Hai, N.T., Bao, L.H.Q., Nghe, N.T. (2026). An Approach for Enhancing Ripe Tomato Classification and Counting by Using Deep Learning and SAHI Image Processing. In: Nguyen, N.T., et al. Computational Intelligence in Engineering Science. ICCIES 2025. Communications in Computer and Information Science, vol 2586. Springer, Cham. https://doi.org/10.1007/978-3-031-98167-8_7 DOI International
  2. Khiem, N.M., Quyen, P.N., Thang, L.D. (2026). Enhanced Detection and Classification of Pulmonary Diseases Using an Ensembled Convolutional Neural Network Architecture on Chest X-Ray Images. In: Dang, T.K., Küng, J., Chung, T.M. (eds) Future Data and Security Engineering. FDSE 2025. Communications in Computer and Information Science, vol 2708. Springer, Singapore. https://doi.org/10.1007/978-981-95-4721-0_20 DOI International
  3. Tran, DQ., Khiem, N.M., Thai-Nghe, N. (2026). An Explainable Biased Multi-relational Matrix Factorization Model Using XAI for Recommendation Systems. In: Thai-Nghe, N., Do, TN., Benferhat, S. (eds) Intelligent Systems and Data Science. ISDS 2025. Communications in Computer and Information Science, vol 2713. Springer, Singapore. https://doi.org/10.1007/978-981-95-3355-8_8 DOI International
  4. H. Q. Bao, M. K. Nguyen and T.-N. Nguyen, A Fusion of Graph Neural Networks and Attention Mechanism for Image-Based Recommendation Systems, in Future Data and Security Engineering, 2025, pp. 411–418, doi:10.1007/978-981-95-4724-1_28 DOI International
  5. Khiem NM, Van Thanh T, Dung NH, Takahashi Y (2025) A novel approach combining YOLO and DeepSORT for detecting and counting live fish in natural environments through video. PLoS One 20(6): e0323547. https://doi.org/10.1371/journal.pone.0323547 DOI International
  6. Nguyễn, M. K. (2024). Nghiên cứu GIS và máy học để dự báo bệnh trên tôm ở vùng ven biển phía Đông Đồng bằng sông Cửu Long. Trong N. C. Ngôn & N. T. Nghe (Chủ biên), Công nghệ kỹ thuật và công nghệ thông tin trong tiến trình công nghiệp hóa – hiện đại hóa Đồng bằng sông Cửu Long (Chương 9, tr. 161–180). Nhà Xuất bản Đại học Cần Thơ. National
  7. Nguyen, M. K., Tran, P. H., & Phan, T. T. (2024). Using U-Net models in deep learning for brain tumor detection from MRI scans. CTU Journal of Innovation and Sustainable Development, 16(Special issue: ISDS), 91-97. International
  8. Nguyễn Minh Khiêm, Yuki Takahashi, Nobuo Kimura, Hiroki Yasuma, Tomohiro Masumura, Genki Kotake. 2023. A MACHINE LEARNING ENSEMBLE APPROACH FOR PREDICTING GROWTH OF ABALONE REARED IN LAND-BASED AQUACULTURE IN HOKKAIDO, JAPAN. Aquacultural Engineering. 103. International
  9. Nguyễn Minh Khiêm, Huỳnh Văn Tú, Nguyen Hung Dung. 2023. PREDICTING GRADUATION GRADES USING MACHINE LEARNING: A CASE STUDY OF CAN THO UNIVERSITY STUDENTS. CTU Journal of Innovation and Sustainable Development. 15. 83-92. (Đã xuất bản) International
  10. Nguyễn Minh Khiêm, Trần Ngọc Hải, Vũ Ngọc Út, Đặng Thị Hoàng Oanh, Yuki Takahashi, Hiroki Yasuma, Nobuo Kimura. 2022. USE OF GIS AND MACHINE LEARNING TO PREDICT DISEASE IN SHRIMP FARMED ON THE EAST COAST OF THE MEKONG DELTA, VIETNAM. Fisheries Science. 88. 1-13. (Đã xuất bản) International
  11. Nguyễn Minh Khiêm, Trần Ngọc Hải, Khưu Thị Phương Đông, Yuki Takahashi, Hiroki Yasuma, Nobuo Kimura. 2022. A NOVEL MACHINE LEARNING APPROACH TO PREDICT THE EXPORT PRICE OF SEAFOOD PRODUCTS BASED ON COMPETITIVE INFORMATION: THE CASE OF THE EXPORT OF VIETNAMESE SHRIMP TO THE US MARKET. PLoS ONE. 17. (Đã xuất bản) International
  12. Nguyễn Minh Khiêm, Khưu Thị Phương Đông, Yuki Takahashi, Nobuo Kimura, Hiroki Yasuma. 2021. PREDICTING THE PRICE OF VIETNAMESE SHRIMP PRODUCTS EXPORTED TO THE US MARKET USING MACHINE LEARNING. Fisheries Science. 87. 411–423. (Đã xuất bản) International
  13. Nguyễn Minh Khiêm, Trần Ngọc Hải, Đặng Thị Hoàng Oanh, Hiroki Yasuma, Nobuo Kimura, Yuki Takahashi. 2020. THE USE OF MACHINE LEARNING TO PREDICT ACUTE HEPATOPANCREATIC NECROSIS DISEASE (AHPND) IN SHRIMP FARMED ON THE EAST COAST OF THE MEKONG DELTA OF VIETNAM. Fisheries science. 86. 673–683. (Đã xuất bản) International
  14. Nguyễn Minh Khiêm, Huỳnh Xuân Hiệp, Nguyễn Thanh Hải. 2016. A NOVEL APPROACH FOR ACCESSING SEMANTIC DATA BY TRANSLATING RESTFUL/JSON COMMANDS INTO SPARQL MESSAGES. IEIE Transactions on Smart Processing and Computing. 5. 222-229. (Đã xuất bản) International
  15. Nguyễn Minh Khiêm, Huỳnh Xuân Hiệp, Nguyễn Thanh Hải. 2016. AUTOMATED TRANSLATION BETWEEN RESTFUL/JSON AND SPARQL MESSAGES FOR ACCESSING SEMANTIC DATA. ICEIC 2016, Hyatt Regency Resort and Spa, Danang Vietnam. 27/Jan - 30/Jan/2016. 16285228. 115-118. (Đã xuất bản) International