The Integrated Information Systems Laboratory (IIS Lab) was established in January 2016 to conduct experimental and theoretical research on the integration of information systems. In addition, IIS Lab is dedicated to supporting the teaching, supervisory activities, and research of FIS faculty members.

Currently, IIS Lab’s members are involved in various research projects, including developing machine learning-based applications, creating intelligent systems for agriculture, and improving healthcare services through artifical intelligence. IIS Lab’s members have participated in and collaborated on multiple research projects and have supervised or supported faculty members in numerous student research projects. They have also published several papers in collaboration with undergraduate students. As a result, many students have been awarded prestigious scholarships and have won student research awards for their achievements in research supervised by IIS Lab’s members.

• Thanh-Hai Nguyen (Nguyễn Thanh Hải), Head of IIS Lab
• Thai-Nghe Nguyen (Nguyễn Thái Nghe), Dean of FIS, Head of IIS Lab from 2016 to 2022.
• Thanh-Dien Tran (Trần Thanh Điện), Director of Can Tho University Publisher
• Quoc-Dinh Truong (Trương Quốc Định)
• Diem-Ngoc-Thi Pham (Phạm Thị Ngọc Diễm)
• Khiem-Minh Nguyen (Nguyễn Minh Khiêm)
• Tan-Tai Phan (Phan Tấn Tài)
• Dang-Ha-Phuong Bui (Bùi Đăng Hà Phương)
• Thi-Cam-Nhung Mai (Mai Thị Cẩm Nhung)
• Thi-Thanh-Hien Nguyen (Nguyễn Thị Thanh Hiền)
• Kim-Anh Su (Sử Kim Anh)

• Computer vision, Data analysis and Machine learning-based applications
• Natural language processing, Information retrieval, and Social network analysis
• Intelligent systems for health, argiculture, education and business

• 2023  – 2024: Research on Engineering Technology and Information Technology in the process of industrialization - modernization of the Mekong Delta region. Can Tho University.
• 2022  – 2023: Detection of Fence Climbing Behavior in Surveillance Videos. Can Tho University.
• 2022  – 2023: Similarity Vietnamese Documents Detection from English Documents Supporting CTU Journal. Can Tho University.
• 2021 – 2023: Measuring technology level and production capacity of enterprises in Vinh Long province
• 2020 – 2022: Evaluate the current state of technology application and innovation in small and medium-sized enterprises in Kien Giang province
• 2020 – 2021: Metagenomic Visualizations and Deep learning for Supporting Disease Classification. Can Tho University.
• 2019—2021 An Approach on building a HoneyWall system for website protection in Can Tho city- Vietnam, funded by Can Tho’s People's Committee.
• 2019 – 2021: Research on building database and information system for community health management in An Giang province
• 2019—2020: Binning Approaches for enhancing disease prediction on Metagenomic data. Can Tho University.
• 2017 – 2022: Objective 4 in Program F-7: Engineering and Information Technology development and Application in Aquaculture and Fisheries. Can Tho University Improvement Project VN14-P6 (ODA PROJECT).
• 2017 – 2022: Objective 5 in Program E-1: Water and Land Resources Monitoring. Can Tho University Improvement Project VN14-P6 (ODA PROJECT).
• 2016 – 2017: Building an online agricultural extension support system in the Mekong Delta region. Ministry of Education
• 2016 – 2018: SALTS - Salinity Advisory as a Location- specific, Timely Service for Vietnam (in collaboration with IRRI - The International Rice Research Institute)
• 2016 – 2016: An examination scheduling and management system

• 04-2023 - 10-2023. Đinh Đông Phong et al. Xây dựng ứng dụng nhận diện trái cây ở miền nam Việt Nam (Building fruit identification applications in South of Vietnam). Instructor: Nguyễn Thái Nghe
• 04-2023 - 10-2023. Nguyễn Phước Duy Khang et al. Hệ thống quản lý công tác giảng dạy thực hành tại Trường Công nghệ thông tin và Truyền thông (Practical teaching management system at CITC). Instructor: Trương Quốc Định
• 04-2023 - 10-2023. Phạm Thành Hưng et al. Xây dựng thiết bị hỗ trợ người khiếm thị khi di chuyển (Building equipment to support the visually impaired people when moving). Instructor: Bùi Đăng Hà Phương
• 04-2023 - 10-2023. Trần Phát Đạt et al. Hệ thống hỗ trợ học tập tiếng Anh dựa trên giải thuật gợi ý (The English learning support system is based on the suggestion algorithm). Instructor: Nguyễn Thái Nghe
• 04/2023 - 10/2023. Trần Khánh Hưng et al. Xây dựng website tìm kiếm và cho thuê phòng trọ (Building website search and rental room). Instructor: Trương Quốc Định
• 01-2023 - 06-2023. Lê Nguyễn Hạt et al. Phát hiện luận văn tương tự trong một hệ thống thông tin nộp bài báo cáo luận văn (the similar thesis detection in a submission system of the thesis report). Instructor: Nguyễn Thanh Hải
• 05-2022 - 11-2022. Nguyễn Chí Bảo et al. Ứng dụng mobile học tiếng anh qua đối tượng được nhận dạng trong hình ảnh và video (A mobile-based application supporting learning English through objects detection in images and videos). Instructor: Nguyễn Thanh Hải
• 05-2022 - 11-2022. Nguyễn Quốc Bảo et al. Xây dựng ứng dụng chuyển đổi từ hình ảnh hoặc file PDF sang văn bản dạng text bằng công nghệ OCR (Building an application conversion application from image or PDF file to text text using OCR technology). Instructor: Nguyễn Thái Nghe
• 05-2022 - 11-2022. Phan Bá Đại Phúc et al. Xây dựng website hỗ trợ học ngôn ngữ lập trình (Building a programming language support website). Instructor: Phạm Thị Ngọc Diễm
• 05-2022 - 11-2022. Hoàng Thị Thanh Hà (B1910216, Lớp DI19V7A3) et al. Nhận dạng và đánh giá các động tác bài luyện tập Taekwondo bằng máy học (Taekwondo Pose Estimation with Machine Learning). Instructor: Nguyễn Thanh Hải 
• 04-2021 - 09-2021. Nguyen Thi Thuy Duy et al. Nhận dạng các cơ quan nội tạng bằng phương pháp máy học (Machine Learning-Based Approaches for Internal Organs Detection on Medical Images). Instructor: Nguyễn Thanh Hải
• 04-2021 - 09-2021. Tran Chau Hai et al. Xây dựng hệ thống truy xuất nguồn gốc thủy sản (Building a seafood traceability system). Instructor: Nguyễn Thái Nghe
• 04-2021 - 09-2021. Le Nguyen Duy Long et al. Xây dựng ứng dụng di động hỗ trợ tình huống khẩn cấp (Building mobile applications to support emergency situations). Instructor: Phạm Thị Ngọc Diễm
• 2021 - 2021. Lê Duy Anh et al. Hệ thống thông tin kết hợp thuật toán máy học để gợi ý lựa chọn môn học cho sinh viên (Information system combines machine algorithm to suggest a subject choice for students). Instructor: Trần Thanh Điện
• 2020 - 2020. Nguyễn Thị Ngọc Chăm et al. Hệ thống thông tin quản lý thực hành tích hợp điểm danh bằng nhận diện khuôn mặt (Automatic Attendance System Based on Face Recognition). Instructor: Nguyễn Thanh Hải
• 2020 - 2020. Nguyễn Trung Thành et al. Ứng dụng kết nối khách du lịch và hướng dẫn viên địa phương (Application to connect tourists and local guides). Instructor: Phạm Ngọc Quyền
• 2020 - 2020. Trần Thanh Phụng et al. Mạng xã hội cho sinh viên Trường Đại học Cần Thơ (Social network for students of Can Tho University). Instructor: Phạm Ngọc Quyền
• 2018 - 2018. Phan Võ Dinh Hiển et al. Hệ thống hỗ trợ canh tác tự động 3 trong 1 cho hoa màu (3 -in -1 automatic cultivation support system for crops). Instructor: Bùi Đăng Hà Phương
• 2018 - 2018. Hồ Thành Lộc et al. Đọc mã vạch trên thẻ bằng điện thoại Android và ứng dụng điểm danh (Read barcodes on cards with Android phones and attendance applications). Instructor: Nguyễn Minh Khiêm
• 2018 - 2018. Nguyễn Thái Bình (Lớp: Khoa học máy tính K41) et al. Ứng dụng công nghệ điện toán đám mây để theo dõi và điều khiển nhiệt độ, độ ẩm trong trồng trọt nấm rơm (Application of cloud computing technology to monitor and control the temperature and humidity in mushroom cultivation). Instructor: Nguyễn Thị Thu An
• 2017 - 2017. Lê Minh Luân et al. Phát triển và xây dựng hệ thống chấm điểm rèn luyện trên web và trên thiết bị android Trường Đại học Cần Thơ (Develop and build a scoring system on the web and on Android equipment at Can Tho University). Instructor: Nguyễn Thái Nghe
• 2016 - 2016. Cam Đại An et al. Xây dựng hệ thống quản lý hoạt động của phòng thí nghiệm và thực hành của khoa CNTT & TT (Building the operation management system of the laboratory and practice of the Faculty of Information and Communications). Instructor: Trương Quốc Định

1. H. T. Nguyen, Tran, Thien Thanh, Nham, Phat Tan, Nguyen, Nhi Uyen Bui and Le, Anh Duy. "AI Chatbot for Tourist Recommendations: A Case Study in Vietnam" Applied Computer Systems, vol.28, no.2, 2023, pp.232-244. 2024.
2. Nguyen, H.T., Nguyen, P.M., Tran, Q.D., Bui, P.H.D. (2024). An Approach Using Threshold-Based Noise Reduction and Fine-Tuned ShuffleNetV2 for Plant Leaf Disease Detection. In: Hà, M.H., Zhu, X., Thai, M.T. (eds) Computational Data and Social Networks. CSoNet 2023. Lecture Notes in Computer Science, vol 14479. Springer, Singapore. https://doi.org/10.1007/978-981-97-0669-3_1
3. D. T. Nguyen, C. N. Ha, H. T. T. Hoang, T. N. Nguyen, T. N. Huynh, and HT. Nguyen, “TAEKWONDO POSE ESTIMATION WITH DEEP LEARNING ARCHITECTURES ON ONE-DIMENSIONAL AND TWO-DIMENSIONAL DATA”, Journal of Computer Science and Cybernetics, vol. 39, no. 4, p. 343–368, Nov. 2023.
4. Pham Thi Ngoc Diem, Chau Si Quych Di, Duong Quang Thien, Tran Hoang Le Chi, HT. Nguyen, Tran Thanh Dien. 2023. DETECTION OF FENCE CLIMBING BEHAVIOR IN SURVEILLANCE VIDEOS USING YOLO V4. Lecture Notes in Networks and Systems. In: Thi Dieu Linh Nguyen · Elena Verdú · Anh Ngoc Le · Maria Ganzha. 418-425.
5. Nguyen, H.T., Cao, A.H., Bui, P.H.D. (2023). Electrocardiogram-Based Heart Disease Classification with Machine Learning Techniques. In: Nguyen, N.T., et al. Advances in Computational Collective Intelligence. ICCCI 2023. Communications in Computer and Information Science, vol 1864. Springer, Cham. https://doi.org/10.1007/978-3-031-41774-0_54
6. Nguyen, H.T., Do K. Toan., Le, K.V., Nguyen, T.T., Luong, H.H. (2023). Removal of Various Noise Types and Voice-Based Gender Classification for Dubbed Videos. 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 2023. Communications in Computer and Information Science, vol 1925. Springer, Singapore. https://doi.org/10.1007/978-981-99-8296-7_7
7. H. T. Nguyen, Vo, Linh Dan and Tran, Thien Thanh. "Approximate Nearest Neighbour-based Index Tree: A Case Study for Instrumental Music Search" Applied Computer Systems, vol.28, no.1, 2023, pp.156-162. 2023.
8. Nguyen, D.T.T. et al. (2023). Machine Learning-Based Approaches for Internal Organs Detection on Medical Images. In: Phuong, N.H., Kreinovich, V. (eds) Deep Learning and Other Soft Computing Techniques. Studies in Computational Intelligence, vol 1097. Springer, Cham. https://doi.org/10.1007/978-3-031-29447-1_9
9. H. T. T. Hoang, C. N. Ha, D. T. Nguyen, T. N. Nguyen, T. N. Huynh, T. T. Phan, and H. T. Nguyen, Poses classification in a taekwondo lesson using skeleton data extracted from videos with shallow and deep learning architectures, in Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. Springer Nature Singapore, 2022, pp. 447-461. 
10. H. T. Nguyen, Cham Ngoc Thi Nguyen, Thao Minh Nguyen Phan, Tinh Cong Dao. Pleural Effusion Diagnosis using Local Interpretable Model-agnostic Explanations and Convolutional Neural Network. IEIE Transactions on Smart Processing & Computing, Vol. 10, Issue 2, 2021.
11. Dao, T.C., Nguyen, H.T. (2021). Human Mobility Prediction Using k-Latest Check-ins. 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. Communications in Computer and Information Science, vol 1500. Springer, Singapore. https://doi.org/10.1007/978-981-16-8062-5_3. 2021.
12. Tran Thanh Dien, Le Duy-Anh, Nguyen Hong-Phat, Nguyen Van-Tuan, Trinh Thanh-Chanh, Le Minh-Bang, Nguyen Thanh-Hai, Nguyen Thai-Nghe (2021). Four Grade Levels-Based Models with Random Forest for Student Performance Prediction at a Multidisciplinary University. In: Barolli, L., Yim, K., Enokido, T. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2021. Lecture Notes in Networks and Systems, vol 278. Springer, Cham. https://doi.org/10.1007/978-3-030-79725-6_1
13. Phan, T.M.N., Nguyen, H.T. (2021). Clinical Decision Support Systems for Pneumonia Diagnosis Using Gradient-Weighted Class Activation Mapping and Convolutional Neural Networks. In: Phuong, N.H., Kreinovich, V. (eds) Soft Computing: Biomedical and Related Applications. Studies in Computational Intelligence, vol 981. Springer, Cham. https://doi.org/10.1007/978-3-030-76620-7_7
14. Nguyen, TH., Dao, CT., Phan, NMT., Nguyen, TNC., Phan, TT., Pham, HN. (2020). Automatic Attendance System Based on Face Recognition Using HOG Features and Cosine Distance. 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. Communications in Computer and Information Science, vol 1306. Springer, Singapore. 2020.

1. Luyl-Da Quach, Khang Nguyen Quoc, Anh Nguyen Quynh, Hoang Tran Ngoc, Nguyen Thai-Nghe. Tomato Health Monitoring System: Tomato Classification, Detection, and Counting System Based on YOLOv8 Model with Explainable MobileNet Models using Grad-CAM++. IEEE Access. 2024 (SCIE, Q1)
2. Nguyen, Tran, T.D., Nguyen, T.T. et al. Strawberry disease identification with vision transformer-based models. Multimedia Tools and Applications. 2024. (SCIE, Scopus Q1)
3. Khiem Nguyen, 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. 2023. (SCIE, Scopus Q2)
4. Luyl-Da Quach, KHANG NGUYEN Quoc, Anh Nguyen Quynh, Nguyen Thai-Nghe, Tri Gia Nguyen. Explainable deep learning models with gradient-weighted class activation mapping for smart agriculture. IEEE Access. 2023. (SCIE, Scopus Q1).
5. Luyl-Da Quach, Khang Nguyen Quoc, Anh Nguyen Quynh, Nguyen Thai-Nghe, Tri Gia Nguyen. Using gradient-weighted class activation mapping to explain deep learning models on agricultural dataset. IEEE Access. 2023. (SCIE, Scopus Q1).
6. Nguyen, H.T., Dang Le, K.D., Pham, N.H. et al. Deep bidirectional LSTM for disease classification supporting hospital admission based on pre-diagnosis: a case study in Vietnam. International Journal of Information Technology. 15, 2677–2685 (2023). (Scopus Q2)
7. Nguyen, 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. (SCIE, Scopus Q1).
8. Nguyen et al.. HS-UNET-ID: An approach for human skin classification integrating between UNET and improved dense convolutional network. International Journal of Imaging Systems and Technology, vol. 32, no. 6, pp. 1832–1845, Nov. 2022. (SCIE, Scopus Q2).
9. Nguyen, YukiTakahashi, Dang Thi Hoang Oanh, Hiroki Yasuma, Tran Ngoc Hai, Vu Ngoc Ut, 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. Fisheries Science 88(1):3. DOI:10.1007/s12562-021-01577-8. Best paper awards by The Japanse Society of Fisheries Science. 2022. (SCIE, Scopus Q2)
10. Huynh, H.X., Phan, N.M.L., Luong, H.H. LMT. Ong, TH. Nguyen, Bernard Pottier. Brown Planthopper Sensor Network Optimization Based on Climate and Geographical Factors using Cellular Automata Technique. Mobile Netw Appl 26, 1311–1328 (2021). https://doi.org/10.1007/s11036-021-01763-z (SCIE, Scopus Q2)
11. Nguyen, Bao Tran T, Luong HH, Nguyen Huynh TK. 2021. Decoders configurations based on Unet family and feature pyramid network for COVID-19 segmentation on CT images. PeerJ Computer Science 7:e719. 2021. (SCIE, Scopus Q1).
12. Nguyen, Toan B. Tran, Phuong HD Bui. 2021. An effective way for Taiwanese stock price prediction: Boosting the performance with machine learning techniques. Concurrency and Computation: Practice and Experience. 2021. (SCIE, Scopus Q3).
13. Thi Thu Hien Nguyen, Thai Binh Nguyen, Ngoc Phuong Pham, Quoc-Dinh TRUONG, Tu Luc Le, Chi Mai Luong. Toward Human-Friendly ASR Systems: Recovering Capitalization and Punctuation for Vietnamese Text. IEICE TRANSACTIONS on Information and Systems. 2021. (Scopus Q3)
14. Nguyen, Phan, T. T., Dao, T. C., Ta, P. V. D., Nguyen, C. N. T., Pham, N. H., & Huynh, H. X. (2021). Gene Family Abundance Visualization based on Feature Selection Combined Deep Learning to Improve Disease Diagnosis. Journal of Engineering and Technological Sciences, 53(1), 210109. https://doi.org/10.5614/j.eng.technol.sci.2021.53.1.9. 2021. (ESCI, Scopus Q2)
15. Huynh, H.X., UB Lai, D-T Nghia, TH. Nguyen, CT Phan. Modeling population dynamics for information dissemination through Facebook. Concurrency and Computation: Practice and Experience. 2021. (SCIE, Scopus Q2).
16. Tran Thanh Dien, Sang Hoai Luu, HT. Nguyen and Nguyen Thai-Nghe, “Deep Learning with Data Transformation and Factor Analysis for Student Performance Prediction” International Journal of Advanced Computer Science and Applications(IJACSA), 11(8), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110886. 2020. (ESCI, Scopus Q4)
17. Nguyen Thai-Nghe, HT. Nguyen, Chi Ngon Nguyen (2020). Deep Learning Approach for Forecasting Water Quality in IoT Systems. International Journal of Advanced Computer Science and Applications, 11(8), 686-693. Open Access version : https://archimer.ifremer.fr/doc/00646/75836/ . 2020. (ESCI, Scopus Q4)
18. Nguyen and J. -D. Zucker, "Enhancing Metagenome-based Disease Prediction by Unsupervised Binning Approaches," 2019 11th International Conference on Knowledge and Systems Engineering (KSE), Da Nang, Vietnam, 2019, pp. 1-5, doi: 10.1109/KSE.2019.8919295.
19. Nguyen, E. Prifti, N. Sokolovska and J. -D. Zucker, "Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks," 2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF), Danang, Vietnam, 2019, pp. 1-6, doi: 10.1109/RIVF.2019.8713670.
20. Tran Thanh Dien, B. H. Loc and Nguyen Thai-Nghe, "Article Classification using Natural Language Processing and Machine Learning," 2019 International Conference on Advanced Computing and Applications (ACOMP), Nha Trang, Vietnam, 2019, pp. 78-84, doi: 10.1109/ACOMP.2019.00019.

Vingroup and Vallet Scholarship Programs are among the prestigious scholarships award students who are talented or excellent in study and research. Master students, PhD students: Phan Kim Yen Nhi, Tran Bao Toan, Luong Hoang Huong participated in research was led and supervised by IIS Lab’s members achieved Vingroup Scholarship in 2020, 2021, 2023, respectively. Undergraduate students: Phan Nguyen Minh Thao, Dao Cong Tinh participated in research was led and supervised by IIS Lab members achieved Vallet Scholarship in 2020, 2021, respectively.