PhD. Thai Dinh Kim


  • Position: Lecturer, Head of Applied Information Technology Program and Head of the Computer Vision and Robotics Research Group (CVR Research Group)
  • Title:  Ph.D
  • Email: thaikd@vnu.edu.vn and thaikd@vnuis.edu.vn
  • Working offices: Faculty of Applied Sciences, Room 408, Building C, HACINCO Student Village, 99-Nguy Nhu Kon Tum Street, Thanh Xuan District, Hanoi

Academic Degrees

  • Bachelor of Control and Automation Engineering, Hanoi University of Science and Technology
  • Master of Control and Automation Engineering, Thai Nguyen University of Technology
  • Ph.D. in Electrical and Communications Engineering, Feng Chia University, Taichung, Taiwan

Research Areas

  • Research interests:
  1. Data Science and Artificial Intelligence
  2. Control Theory and Robotics
  3. Embedded Systems and IoT
  • Teaching subjects:
  1. C/C++ Programming Techniques
  2. Programming Languages for Data Science
  3. Computer Vision
  4. Artificial Intelligence
  5. Machine Learning
  6. Deep Learning
  7. Introduction to Applied IT
  8. Control Theory
  9. Microprocessors and Microcontrollers

Publications

  • Tran, H. L., Pham, V. N., Nguyen, D. T., Do Ba, Q. H., Le, X. H., & Kim, D. T. (2024). Diagnosing electric motor faults based on vibration signals using YOLOv8. Proceedings of the 2024 9th International Conference on Integrated Circuits, Design, and Systems.
  • Do Ba, Q. H., Pham, V. N., Nguyen, V. T., Nguyen, Q. M., Vo, B. T., Ha, M. H., & Kim, D. T. (2024). Developed a tomato-condition classification system using image processing and YOLO technology. Proceedings of the 2024 9th International Conference on Integrated Circuits, Design, and Systems.
  • Le, D. A. T., Vo, B. T., Pham, V. N., Do Ba, Q. H., Nguyen, T. N., Ha, M. H., & Kim, D. T. (2024). Patient remote monitoring system using MQTT protocol for ECG signals. Proceedings of the 2024 9th International Conference on Integrated Circuits, Design, and Systems.
  • Kim, T. D., Duc, Q. A. N., Nguyen, T. M., Nguyen, M. A., Pham, H. B., & Do, T. T. (2024). Lychee instance segmentation at different growth stages using YOLOv8-seg model. Proceedings of the 2024 9th International Conference on Integrated Circuits, Design, and Systems.
  • Kim, T. D., Dao, N. N., Tran, D. V., Tran, A. L. Q., & Pham, D. A. (2024). Surgical tool detection and pose estimation using YOLOv8-pose model: A study on clipper tool. Proceedings of the 2024 9th International Conference on Integrated Circuits, Design, and Systems.
  • Duc, Q. A. N., Kim, T. D.*, Nguyen, Q. C., Thi, T. H. N., Vu, Q., Do Xuan, M. D., & Nguyen, V. N. (2024). Optimizing traffic light control using YOLOv8 for real-time vehicle detection and traffic density. Proceedings of the 2024 9th International Conference on Integrated Circuits, Design, and Systems.
  • Anh, N. D. Q., Ha, M. H., Nguyen, Q. C., Thi, T. H. N., Vu, Q., Minh-Duc, D. X., Nguyen, D. C. & Kim, T. D. (2024). VNEMOS: Vietnamese speech emotion inference using deep neural networks. Proceedings of the 2024 9th International Conference on Integrated Circuits, Design, and Systems.
  • Ha, N. T. P. M., Nguyen, D. C., Do, M. T., Kim, D. T., & Le, X. H. (2024). Plant pathology identification using local-global feature level based on transformer. Indonesian Journal of Electrical Engineering and Computer Science, 34(3).
  • Ha, M. H., Thai, K. D., & Vinh, D. C. (2024). Lightweight rendezvous model based on pruning and knowledge distillation for action triplet recognition in laparoscopic surgery videos. Proceedings of the International Conference on Intelligent Systems & Networks, 11–20.
  • Do, V. Q., Hoang-Thi, C., Pham, T. T., Bui, N. L., Kim, D. T., & Chu, D. T. (2024). Computational tools supporting known miRNA identification. Progress in Molecular Biology and Translational Science, 203, 225–242.
  • Nguyen, M. T., Kim, T. D.*, Ha, M. H., Do, A. L., Nguyen, L. A., & Ngo, D. L. (2023). Advanced learning-based segmentation of liver and tumor 3D images for early disease diagnosis. Proceedings of the 2023 RIVF International Conference on Computing and Communication.
  • Do, M. T., Kim, T. D.*, Ha, M. H., Chen, O. T. C., Nguyen, D. C., & Tran, A. L. Q. (2023). An effective method for detecting personal protective equipment at real construction sites using the improved YOLOv5s with SIoU loss function. Proceedings of the 2023 RIVF International Conference on Computing and Communication.
  • Hoang, D., Pham, N. T., Le, X. H., Do, D. M., Nguyen, N. L., & Kim, T. D. (2023). Adaptive cooperation of optimal linear quadratic regulator and lumped disturbance rejection estimator-based tracking control for robotic manipulators. International Journal of Dynamics and Control, 11(6), 2856–2869.
  • Kim, T. D., Do, D. M., Hoang, D., Pham, T. N., Ha, M. H., & Le, H. X. (2023). A novel separation principle-based stabilization for 6-DoF overhead crane under fault injection data onslaught. IEEE Access.
  • Do, M. T., Ha, M. H., Nguyen, D. C., Kim, T. D., & Do Ba, Q. H. (2023). Human detection based on YOLO backbones-transformer in UAVs. Proceedings of the 2023 International Conference on System Science and Engineering (ICSSE), 576–580.
  • Le, H. B., Kim, T. D., Ha, M. H., Tran, A. L. Q., Nguyen, D. T., & Dinh, X. M. (2023). Robust surgical tool detection in laparoscopic surgery using YOLOv8 model. Proceedings of the 2023 International Conference on System Science and Engineering (ICSSE), 537–542.
  • Dang, S. T., Dinh, X. M., Kim, T. D., Xuan, H. L., & Ha, M. H. (2023). Adaptive backstepping hierarchical sliding mode control for 3-wheeled mobile robots based on RBF neural networks. Electronics, 12(11), 2345. https://doi.org/10.3390/electronics12112345
  • Kim, T. D., Nguyen, T. V., Do, D. M., & Le, H. X. (2022). Adaptive neural network hierarchical sliding mode control for six degrees of freedom overhead crane. Asian Journal of Control, 24(1), 1–16. https://doi.org/10.1002/asjc.2961
  • Le, H. X., Kim, T. D., Hoang, Q. D., Pham, M. V., Nguyen, T. V., Pham, H. V., & Do, D. M. (2022). Adaptive fuzzy backstepping hierarchical sliding mode control for six degrees of freedom overhead crane. International Journal of Dynamics and Control, 10(6), 2174-2192.
  • Kim, T. D., Nguyen, L. N., Dinh, X. M., & Le, H. X. (2022). Adaptive hierarchical sliding mode control design for 3D ship-mounted container crane with saturating actuators. Journal of Control, Automation and Electrical Systems, 1–16.
  • Hoang, D., Do Manh, D., Kim, T. D., Le, H. X., Pham, T. N., Thai, N. H., & Nguyen, L. M. (2022). Optimizing reference model for disturbance rejection controller for a 3-DoF robot manipulator. Annals of Computer Science and Information Systems, 33, 121-127.
  • Ha, M.-H., Kiet, T. M. T., Kim, D. T., Le, X. H., & Pham, N. T. (2022). Convolutional neural network-based attentive model for vehicle license plate identification. Proceedings of the International Conference on Human-centered Artificial Intelligence.
  • Nguyen, V. T., Do, M. T., Kim, D. T., Le, X. H., Ha, M. H., Pham, N. T., Nguyen, L. H., & Dang, H. B. (n.d.). Phát hiện trang bị bảo hộ lao động cá nhân trong các công trường xây dựng dựa trên mạng nơ-ron học sâu YOLOv7. Proceedings of the 25th Vietnam Conference of Selected ICT Problems, Vietnam.
  • Kim, D. T. (2021). Phát hiện dụng cụ phẫu thuật thời gian thực cho phẫu thuật nội soi dựa trên mạng nơ-ron tích chập. Tạp chí Khoa học và Công nghệ Đại học Công nghiệp.
  • Nguyen, T. V., Kim, D. T., Le, H. X., & Nguyen, H. L. (2021). Thiết kế hệ thống điều khiển cho Camera nội soi dựa trên mạng nơ-ron học sâu. Proceedings of the National Conference on Fundamental and Applied IT Research (FAIR’2021).
  • Kim, D. T., Nguyen, V. T., Cheng, C.-H., Liu, D.-G., Liu, K. C. J., & Huang, K. C. J. (2018). Speed improvement in image stitching for panoramic dynamic images during minimally invasive surgery. Journal of Healthcare Engineering, 2018.
  • Kim, D. T., Cheng, C. H., Liu, D. G., Liu, K. C. J., Huang, S. W. W., & Tran, S. T. (2019). Performance improvement for two-lens panoramic endoscopic system during minimally invasive surgery. Journal of Healthcare Engineering, 2019.
  • Kim, D. T., Cheng, C.-H., Liu, D.-G., Liu, K. C. J., & Huang, W. S. W. (2020). Designing a new endoscope for panoramic view with focus-area 3D-vision in minimally invasive surgery. Journal of Medical and Biological Engineering, 40(2), 204–219.
  • Vu, Q. V., Dinh, T. A., Nguyen, T. V., Tran, H. V., Le, H. X., Pham, H. V., Kim, D. T., & Nguyen, L. (2021). An adaptive hierarchical sliding mode controller for autonomous underwater vehicles. Electronics, 10(18), 18.
  • Hoang, U. T. T., Kim, T. D., Le, H. X., Pham, D. X., Phan, M. X., & Nguyen, T. V. (2022). Adaptive fuzzy hierarchical sliding mode control for ball segway. Automatic Control and Computer Sciences, 56(6), 519-532.
  • Dang, S. T., Dinh, X. M., Kim, T. D., & Cheng, C.-H. (2019). A stable video stitching technique for minimally invasive surgery. Proceedings of the 2019 9th International Conference on Biomedical Engineering and Technology, New York, NY, USA, 2019, 266–269.
  • Kim, D. T., & Cheng, C. (2016). A panoramic stitching vision performance improvement technique for minimally invasive surgery. Proceedings of the 2016 5th International Symposium on Next-Generation Electronics (ISNE), Hsinchu, Taiwan, May 2016, 1–2.
  • Hoang, U. T. T., Kim, T. D., Pham, A. V., Dinh, M. X., & Le, X. H. (2014). Designing an adaptive controller for a two-wheeled self-balancing mobile robot using hierarchical sliding control strategy and radial basis function neural network. HaUI Journal of Science and Technology, 126(04) (Vietnamese).
  • Kim, D. T., & Bui, A. T. (2014). Tổng hợp hệ thống điều khiển nhiệt độ lò nung cho nhà máy cán thép Thái Nguyên trên nền Simatic S7-300 và phần mềm WinCC. Tạp chí Khoa học và Công nghệ, Đại học Thái Nguyên, 04(118), 2014.
  • Bui, A. T., & Kim, D. T. (2014). Sử dụng FPGA để xây dựng hệ thống điều khiển cho Robot tự hành. Tạp chí Khoa học và Công nghệ, Đại học Thái Nguyên, 04(116), 2014.
  • Kim, D. T., & Trinh, H. T. (2014). Design of a control and monitoring system for television transmitters based on Simatic S7-300 and WinCC software. Tạp chí Khoa học và Công nghệ, Đại học Thái Nguyên, 26(04), 2014.

Books

  • Do, V. Q., Hoang-Thi, C., Pham, T. T., Bui, N. L., Kim, D. T., & Chu, D. T. (2024). Computational tools supporting known miRNA identification. Progress in Molecular Biology and Translational Science, 203, 225–242.

Research Projects

  • Intelligent Minimum Invasive Surgery based on Image Processing Technology (Project  in Ministry of Science and Technology of Taiwan)
  • Design of an adaptive state observer for a 3D crane system with six degrees of freedom based on artificial neural networks (Project in VNU-IS)
  • Research on designing an adaptive trajectory tracking control algorithm for autonomous vehicles (Project in VNU-IS)
  • Research and development of advanced deep learning methods to support the detection of strawberry plant diseases in Vietnam (Project in VNU-IS)
  • Research on designing a disturbance compensation control algorithm for dual-arm robotic manipulators (Project in VNU-IS)

Tìm kiếm