PhD. Ha Manh Hung

  • Position:  Lecturer
  • Title: PhD
  • Email: hunghm@isvnu.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

  • Ph.D in Electrical Engineering, Special in Computer Vision and Robot

Research Areas

  • Research interests:
  1. Image|Video understanding, SpatioTemporal Activity Recognition
  2. Event Recognition
  3. Behaviors Analysis
  4. 2D3D Object Detection
  5. Multi-object Tracking
  6. Pattern Recognition
  7. Artificial Intelligence, Machine Learning
  8. and Knowledge Representation
  9. Real-Time Systems
  • Teaching subjects: Introduction to applied, Data structure and algorithm, Information technology, Programming techniques, Artificial intelligence, Data mining, Optimization models and algorithm, Python, Machine learning, and Deep learning.

Publications

  • Manh-Hung Ha*, Chen, O. T.-C. “Rectified Attention Gate Unit in Recurrent Neural Networks for Effective Attention Computation,” In IEEE Statistical Signal Processing (SSP),
  • Manh-Tuan Do, Manh-Hung Ha*, Duc-Chinh Nguyen, Kim Thai and Quang-Huy Do, “Human Detection Based Yolo Backbones-Transformer in UAVs,” In Procceding of International Conference on System Science and Engineering, 2023.
  • Manh-Hung Ha, Anh-Luyen Do, Oscal Tzyh-Chiang Chen, Cong-Doan Truong and Van-Tinh Nguyen “NDAU: Non-Local Dual Attention-Gated Unet for Brain Tumor Segmentation,” In Procceding of International Conference on System Science and Engineering, 2023.
  • Dang, S.T. Dinh, X.M. Kim, T.D. Xuan, H.L. Manh-Hung Ha. “Adaptive Backstepping Hierarchical Sliding Mode Control for 3-Wheeled Mobile Robots Based on RBF Neural Networks”. Electronics 2023, 12, 2345(SCIE, Q2) https://doi.org/10.3390/electronics12112345
  • Manh-Hung Ha, Pham, T. A., Thanh, D. T. & Luan, T. V. Attention correlated appearance and motion feature followed temporal learning for activity recognition (SCIE, Q2). International Journal of Electrical and Computer Engineering (IJECE), 2023
  • Binh Le, Thai Kim, Manh-Hung Ha and Anh Tran, “Robust Surgical Tool Detection in Laparoscopic Surgery Using YOLOv8 Model”, International conference on system science and engineering (ICSSE), 2023
  • Manh-Hung Ha, Chen, O. T.-C. “Non-local based correlation spatial temporal feature for action recognition,” In IEEE international conference on multimedia and expo (ICME), Rank-A, Taiwan, 2022
  • Manh-Hung Ha, Minh-Huy Le, Khoa Nguyen Dang, Dinh-Thai Kim, Van Luan Tran. “Action Recognition of Traffic Police by Attentive for Self-Driving Vehicles,” International Conference on Advanced Technologies for Communications (ATC), 2022
  • Van Luan Tran, Huei-Yung Lin, and Manh-Hung Ha, “Semantic vehicle segmentation from aerial images using deep learning,” International Conference on Advanced Technology and Sustainable Development (ICATSD), 2022
  • Tran Thi Van; Nguyen Dang Khoa; Ha Manh Hung; Pham Duy Duong; Le Minh Huy; Pham Duc Dai, “A framework for simulation and testing of UAVs structure and algorithms,” The International scientific conference on Applying new Technology in Green Buildings (ATiGB), 2022
  • Manh-Hung Ha, Tran Mach Tuan Kiet, Kim Dinh Thai, Le Xuan Hai, Pham Ngoc Thanh, “Convolutional Neural Network Based Attentive Model for Vehicle License Plate Identification”, International Conference on Human-centered Artificial Intelligence, 2022
  • Anh Tran, Thai Kim, Manh-Hung Ha, Hai Le, Thanh Pham and Linh Nguyen, “Deep Neural network for Surgical-tools Detection in minimally invasive surgery,” International Conference on Human-centered Artificial Intelligence, 2022
  • Nguyễn Văn Thiện, Đỗ Mạnh Tuấn, Kim Đình Thái, Lê Xuân Hải, Hà Mạnh Hùng, Phạm Ngọc Thành, Nguyễn Lê Hoàng, Đặng Hải Bình, “Phát hiện trang bị bảo hộ lao động cá nhân trong các công trường xây dựng dựa trên mạng nơ-ron học sâu YOLOv7,” In the 25th vietnam conference of selected ict problems, Vietnam
  • Manh-Hung Ha, Chen, O. T.-C. “Deep neural networks using residual fast-slow refined highway and global atomic spatial attention for action recognition and detection,” IEEE Access, doi: 10.1109/ACCESS.2021.3134694, 9, 164887–164902(SCI, EI, Q1-R1)
  • Manh-Hung Ha, and Oscal. T.-C. Chen, “Deep Neural Networks Using Capsule Networks and Skeleton-Based Attentions for Action Recognition,” IEEE Access, vol. 9, pp. 6164-6178, 2021. (SCI, EI, Q1).
  • Manh-Hung Ha, and Oscal. T.-C. Chen, “Action recognition improved by correlations and attention of subjects and scene” IEEE International Conference on Visual Communications and Image Processing (VCIP, Rank_B), Germany, 2021
  • Manh-Hung Ha, Oanh, N. T. & Anh, P. T. (2021). Exploration of temporal network topologies in a recurrent neural network for activity recognition, In the 24th vietnam conference of selected ict problems (VNICT2021), Vietnam
  • Manh-Hung Ha, Pham, T.-A., Nguyen, V.-T. & Nong, V.-H. (2021). Mô hình học sâu nâng cao ứng dụng cho xe tự hành phát hiện đối tượng và nhận dạng hành động điều khiển của cảnh sát giao thông, In national conference on electronics, communications and information technology (REV-ECIT), Vietnam
  • Manh-Hung Ha & Chen, O. T.-C. Traffic police action recognition by local-global feature-based attention, In IEEE international conference on science, education, and viable engineering (ICSEVEN), Taiwan, 2021
  • T.-C. Chen, Manh-Hung Ha, and Y. L. Lee, “Computation-affordable recognition system for activity identification using a smart phone at home,” in Proceedings of the IEEE International Symposium on Circuits and Systems, Rank-A, pp. 1-5, Italy, 2020
  • Manh-Hung Ha (Invited Talk). Evaluation of tracking and recognition of multiple subjects for homecare. Yunlin University, Taiwan, seminar at the Workshop, 2019.
  • T.-C. Chen, Manh-Hung Ha, and W.-C. Lai, “Activity recognition of multiple subjects for homecare,” in Proceedings of the 10th International Conference on Knowledge and Smart Technology, pp. 242–247, Thailan, 2018.
  • T.-C. Chen, C.-H. Tsai, Manh-Hung Ha, and W.-C. Lai, “Activity recognition using a panoramic camera for homecare.” in Proceedings of 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, Rank_B, pp. 1-6, Italy, 2017.
  • Ha Manh Hung, N. H. M. “Improved Efficiency of CBIR Using Contourlet Transform,” TNU Journal of Science and Technology, VietNam, 43, 45–51, 2016.

Books

  • Update…

Research Projects

  • Web mining and application for searching and retrieval of topic information. Thai Nguyen University (2015-2016)
  • Action recognition for Traffic Police, Automotive Research Testing Center (ARTC), (05/2020-05/202)
  • Advance deep learning for multiple actions recognition, Ministry of Education (MOE), 109-2622-E-194-004 (05/2020-07/2021)
  • Abnormal action recognition for elder in homecare system, Center for Innovative Research on Aging Society (CIRAS), 110-2221-E-194-025, (10/2016-10/2020)
  • Action recognition analyses for homecare, Ministry of Science and Technology (MOST), 108-2221-E-194-054 (10/2017-10/2020)

Working process

  • From 09/2009-06/2021: Lecture -Researcher at Computer Science of Department, Information Communication Technology of University (ICTU).
  • From 2021-2022: Visiting Lecture -Researcher. Fundamental Computing of Department, FPT University
  • From 2021-07/2022: Lecturer-Researcher. Electrical Engineering of Department, Phenikaa University
  • From 15/07/2022-Now: Lecturer-Researcher at International School, Vietnam National University.

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