PhD. Pham Dinh Tan


  

  • Position:  Lecturer
  • Title:  Ph.D. 
  • Email: tanpd@vnu.edu.vn; tanpd@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 Degree in Electronics and Telecommunications, Hanoi University of Science and Technology
  • Master Degree in Electrical Engineering, Chulalongkorn University (Bangkok, Thailand)
  • PhD. Degree in Computer Engineering, Hanoi University of Science and Technology

Research Areas

  • Research interests:
  1. Computer Vision
  2. Deep Learning
  3. Computer Engineering
  4. Multimedia
  • Teaching subjects:
  1. Introduction to Computer Networks
  2. Computer Networks
  3. Operating Systems
  4. Webpage Design
  5. Web Authoring and Web Management

Publications

  • Duy-Tung Nguyen, Duc-Manh Nguyen, Dinh-Tan Pham, Khoat Than, Hong-Thai Pham, Hai Vu, Bayesian method for bee counting with noise-labeled data, Proceedings of the 12th International Symposium on Information and Communication Technology, SoICT 2023, Ho Chi Minh City, pp. 401–408, 2023.
  • Dinh-Tan Pham, Quang-Tien Pham, Tien-Thanh Nguyen, Thi-Lan Le, and Hai Vu, A Lightweight Graph Convolutional Network for Skeleton-based Action Recognition, Multimedia Tools and Applications (MTAP), Springer, DOI: 10.1007/s11042-022-13298-w, pp. 1-25, 2022 (SCIE-Q1).
  • Tien-Thanh Nguyen, Dinh-Tan Pham, Hai Vu, and Thi-Lan Le, A robust and efficient method for skeleton-based human action recognition and its application for cross-dataset evaluation, IET Computer Vision, DOI: 10.1049/cvi2.12119, pp. 1-18, 2022 (SCIE-Q3).
  • Dinh-Tan Pham, Quang-Tien Pham, Thi-Lan Le, and Hai Vu, An Efficient Feature Fusion of Graph Convolutional Networks and its application for Real-Time Traffic Control Gestures Recognition, IEEE Access, ISSN: 2169-3536, pp. 121930 – 121943, 2021 (SCIE-Q1).
  • Van-Toi Nguyen, Tien-Nam Nguyen, Thi-Lan Le, Dinh-Tan Pham, and Hai Vu, Adaptive most joint selection and covariance descriptions for a robust skeleton-based human action recognition, Multimedia Tools and Applications (MTAP), Springer, DOI: 10.1007/s11042-021-10866-4, pp. 1-27, 2021 (SCIE-Q1).
  • Dinh Tan Pham, Thi Phuong Dang, Duc Quang Nguyen, Thi Lan Le, and Hai Vu, Skeleton-based Action Recognition Using Feature Fusion for Spatial-Temporal Graph Convolutional Networks, Journal of Science and Technique, Le Quy Don Technical University (LQDTU-JST), ISSN 1859-0209, pp. 7-24, 2021.
  • Dinh-Tan Pham, Van-Nam Hoang, Viet-Duc Le, Tien-Thanh Nguyen, Thanh-Hai Tran, Hai Vu, Van-Hung Le, Thi-Lan Le, Deep Learning Models for Skeleton-based Action Recognition for UAVs, International Conference on Communications and Electronics (ICCE 2022), Nha Trang, Vietnam, pp. 343-348, 2022.
  • Quang-Tien Pham, Viet-Anh Nguyen, Tien-Thanh Nguyen, Duc-Anh Nguyen, Duc-Giang Nguyen, Dinh-Tan Pham, Hai Vu, Thi-Lan Le, Automatic Recognition and Assessment of Physical Exercises from RGB Images, International Conference on Communications and Electronics (ICCE 2022), Nha Trang, Vietnam, pp. 349-354, 2022.
  • Dinh-Tan Pham, Tien-Nam Nguyen, Thi-Lan Le, and Hai Vu, Spatio-Temporal Representation for Skeleton-based Human Action Recognition, Proceedings of International Conference on Multimedia Analysis and Pattern Recognition (MAPR 2020), IEEE, Hanoi, Vietnam, ISBN: 978-1-7281-6555-4, pp.1-6, 2020.
  • Dinh-Tan Pham, Tien-Nam Nguyen, Thi-Lan Le, and Hai Vu, Analyzing Role of Joint Subset Selection in Human Action Recognition, Proceedings of NAFOSTED Conference on Information and Computer Science (NICS 2019), IEEE, Vietnam, ISBN: 978-1-7281-5163-2, pp. 61-66, 2019.
  • Tien-Nam Nguyen, Dinh-Tan Pham, Thi-Lan Le, Hai Vu, and Thanh-Hai Tran, Novel Skeleton-based Action Recognition Using Covariance Descriptors on Most Informative Joints, Proceedings of International Conference on Knowledge and Systems Engineering (KSE 2018), IEEE, Vietnam, ISBN: 978-1-5386-6113-0, pp. 50-55, 2018.
  • Thanh-Hai Tran, Thi-Lan Le, Dinh-Tan Pham, Van-Nam Hoang, Van-Minh Khong, Quoc-Toan Tran, Thai-Son Nguyen, and Cuong Pham, A multi-modal multi-view dataset for human fall analysis and preliminary investigation on modality, Proceedings of International Conference on Pattern Recognition (ICPR 2018), ISBN: 978-1-5386-3787-6, pp. 1947-1952, China, 2018.
  • Thuy-Binh Nguyen, Thi-Lan Le, Dinh-Duc Nguyen, and Dinh-Tan Pham, A Reliable Image-to-Video Person Re-identification Based on Feature Fusion, Proceedings of Asian Conference on Intelligent Information and Database Systems (ACIIDS 2018), ISBN: 978-3-319-75417-8, pp. 433-442, Quang Binh, Vietnam, 2018.

Books

  • Update…

Research Projects

  • NAFOSTED (No. 102.01-2017.12) Improve the efficiency of human action recognition using manifold representation and deep learning on multimodal data, Member, 2017 – 2020
  • NAFOSTED (No. 102.01-2017.315) Human action recognition using wearable sensors using advanced deep learning techniques, Member, 2018 – 2022

Working process

  • 2023 – now: Lecturer, Faculty of Applied Sciences, International School, Vietnam National University
  • 2012 – 2023: Lecturer, Faculty of Information Technology, Hanoi University of Mining and Geology
  • 2007 – 2011: Engineer of Huawei Vietnam