Thien Huynh-The (Huỳnh Thế Thiện in Vietnamese) [CV] [Google Scholar] [dblp] [ORCID] [WoS] [Scopus]
Lecturer, Department of Computer and Communications Engineering,
Faculty of Electrical and Electronics Engineering,
Ho Chi Minh City University of Technology and Education (HCMUTE), Vietnam
Address: Room C401, No 1, Vo Van Ngan Street, Linh Chieu Ward, Thu Duc, HCM City, 71307, Vietnam.
Email: thienht@hcmute.edu.vn / thienht@ieee.org / thethien2208@gmail.com
News
CMNet: Radar-Communication Waveform Recognition via Convolution and Mamba Networks in IEEE WCL (SCI(E), Q1 JCR, IF: 5.5)
Advanced Learning Algorithms for Integrated Sensing and Communication (ISAC) Systems in 6G and Beyond: A Comprehensive Survey in IEEE COMST (SCI(E), Q1 JCR, IF: 46.7)
Biography
Thien Huynh-The (Senior Member, IEEE) received the B.S. degree in Electronics and Telecommunication Engineering and the M.Sc. degree in Electronics Engineering from Ho Chi Minh City University of Technology and Education, Vietnam, in 2011 and 2013, respectively, and the Ph.D. degree in Computer Science and Engineering from Kyung Hee University (KHU), South Korea, in 2018. He was a recipient of the Superior Thesis Prize awarded by KHU. From March 2018 to August 2018, he was a Postdoctoral Researcher with Ubiquitous Computing Laboratory, KHU. From September 2018 to May 2022, he was a Postdoctoral Researcher with the ICT Convergence Research Center, Kumoh National Institute of Technology, South Korea. He is currently an Assistant Professor in Department of Computer and Communication Engineering, Ho Chi Minh City University of Technology and Education (HCMUTE), Vietnam. He was a recipient of Golden Globe Award 2020 for Vietnamese Young Scientist by Central Ho Chi Minh Communist Youth Union associated with Ministry of Science and Technology. His current research interests include digital image processing, radio signal processing, computer vision, wireless communications, IoT applications, machine learning, and deep learning.
On-going Projects:
01/2025-12/2026: Developing deep learning algorithms to improve radio signal identification performance in next-generation communication networks (This research is funded by Ministry of Education and Training, and hosted by Ho Chi Minh City University of Technology and Education under grant number B2025-SPK-03).
05/2025-04/2028: Deep Learning-based Spectrum Sensing and Waveform Classification in Integrated Radar-Communication Systems (This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 102.02-2024.21).
Granted Projects:
01/2024-12/2024: Semantic segmentation for 3D points cloud point using deep learning, funded by HCMC University of Technology and Education, No. T2024-119. (key member, on-going).
01/2024-12/2024: Urban image segmentation using artificial intelligence algorithms for remote sensing applications, funded by HCMC University of Technology and Education, No. T2024-150. (key member, on-going).
01/2024-12/2024: Artificial Intelligence-Based Spectrum Sensing for 5G-LTE Classification, funded by HCMC University of Technology and Education, No. T2024-114. (project investigator, on-going).
01/2023-12/2023: Deep Learning-Based Waveform Classification for Integrated Radar-Communication Systems, funded by HCMC University of Technology and Education, No. T2023-61. (key member, Finished).
VirtualWorld-VRChat-IoT22.mp4Virtual class with digital contents for education.
ProjectDemoOne_compact.mp4Control IoT devices from the virtual environment with VR headset
Research Interests
Digital image processing: image quality enhancement, digital watermarking for image authentication, foreground segmentation for saliency detection.
Radio signal processing: signal identification, waveform and modulation recognition, and channel estimation in wireless communications.
Computer vision applications: human action recognition, facial expression recognition, and semantic segmentation.
Machine learning and deep learning for visual applications and communications.
Social (in Vietnamese)