Vị trí hiện tại: Assistant Professor
Đơn vị: National Taipei University of Technology
POSITIONS
- 2020 – present : Assistant Professor, Department of Electronic Engineering, National Taipei University of Technology, Taiwan
- 2010 – present : Lecturer, Faculty of Information Technology, Hung Yen University of Technology and Education, Vietnam
EDUCATION
- 9/2017 – 5/2020 : Doctor of Philosophy in Electrical Engineering and Computer Science, National Taipei University of Technology (NTUT), Taiwan.
- 9/2011 – 4/2013 : Master of Science in Electronics Engineering, Hanoi University of Science And Technology (HUST), Vietnam.
- 9/2005– 9/2009: Bachelor of Engineering, Hung Yen University of Technology and Education (UTEHY), Vietnam.
RESEARCH INTERESTS
- Machine learning/deep learning
- Image processing.
- Object detection.
HONOURS AND AWARDS
- Doctoral Dissertation Excellence Award – Chinese Image Processing & Pattern Recognition Society (8/2020)
- Certificate of Merit – Minister of Ministry of Education and Training Vietnam (8/2016)
- Certificate of Merit – President of Hung Yen University of Technology and Education (10/2016)
- Certificate of Merit – President of Hung Yen University of Technology and Education (10/2015)
PROFESSIONAL ACTIVITIES AND SOCIETIES
- Visiting Professor, Data Analysis and Machine Learning Department, Financial University, Moscow, Russia (11/2021)
- Visiting Professor, Department of Electrical and Computer Engineering, University of Washington, Seattle, USA (4/2020)
- Guest Speaker, School of Electrical & Electronic Engineering, Nanyang Technological University, Nanyang, Singapore (2/2020)
- Guest Speaker, oToBrite electronics Inc., Taiwan (3/2020)
- Guest Speaker, oToBrite electronics Inc., Taiwan (3/2019)
PUBLICATIONS
Text Book
Shih-Chia Huang and Trung-Hieu Le, Principles and Labs for Deep Learning (1st Edition), Academic Press (London), 2021, ISBN: 9780323901987.
Top journals
[1]. Shih-Chia Huang, Quoc-Viet Hoang, and Trung-Hieu Le (Corresponding Author), SFA-Net: A Selective Features Absorption Network for Object Detection in Rainy Weather Conditions, “in IEEE Transactions on Neural Networks and Learning Systems, 2022, doi: 10.1109/TNNLS.2021.3125679 (IF = 10.451, rank 3/334 in Computer Networks and Communications)
[2]. Shih-Chia Huang, Trung-Hieu Le, and Da-Wei Jaw, “DSNet: Joint Semantic Learning for Object Detection in Inclement Weather Conditions,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 8, pp. 2623-2633, 1 Aug. 2021 (IF = 16.389, rank 1/548 in Applied Mathematics
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