Thien Huynh-The

About

Thien Huynh-The 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 a Lecturer 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.

Employment

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Education

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Publications (221)

• A Lightweight and Robust Framework for Waveform Classification Using Dynamic Warping and State-Space Models
  2027 DOI: 10.1007/978-981-92-2597-2_29
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• DeGS-Net: Interference-Resilient Spectrum Sensing via Geometric-Semantic Consensus
  REV Journal on Electronics and Communications 2026 DOI: 10.21553/rev-jec.452
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• Agentic AI in Healthcare 5.0: Reference Architecture, Applications, and Challenges
  Thippa Reddy Gadekallu, Thien Huynh‐The, Abdellah Chehri +10 more
  IEEE Internet of Things Journal 2026 DOI: 10.1109/JIOT.2026.3718925
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• RIS-Based Two-Way Systems: Security-Reliability Trade-Off and Outage-Constrained Max-Min Secrecy Rate
  IEEE Transactions on Vehicular Technology 2026 DOI: 10.1109/TVT.2026.3704602
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• Efficient Multimodal Feature Refinement via Adaptive RGB-IR Interaction for Robust Drone Detection and Classification
  REV Journal on Electronics and Communications 2026 DOI: 10.21553/rev-jec.451
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• Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples
  ACM Transactions on Intelligent Systems and Technology 2026 DOI: 10.1145/3770082
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• Robust Covertness in Joint Radar and Multicast-Unicast Communication With Non-Orthogonal Multiple Access
  IEEE Transactions on Vehicular Technology 2026 DOI: 10.1109/TVT.2025.3635166
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• Compact Spectrum Sensing With RPNet+CLRu: Reducing Model Size for 5G-LTE Signal Identification
  IEEE Transactions on Vehicular Technology 2026 DOI: 10.1109/TVT.2025.3617378
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• A lightweight-to-diffusion framework for semantic image communications
  ICT Express 2026 DOI: 10.1016/j.icte.2025.12.013
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• Federated learning for big data: A survey on opportunities, applications, and future directions
  Thippa Reddy Gadekallu, Quoc‐Viet Pham, Thien Huynh‐The +6 more
  Engineering Applications of Artificial Intelligence 2026 DOI: 10.1016/j.engappai.2025.113614
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• A Lightweight Full-Resolution Encoder-Decoder Network for 5G-LTE Spectrogram-Based Spectrum Sensing
  Communications in Computer and Information Science 2026 DOI: 10.1007/978-3-031-98161-6_30
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• ASTRA-Net: Adaptive Spectro-Temporal Robust Architecture for Spectrum Sensing
  IEEE Wireless Communications Letters 2026 DOI: 10.1109/LWC.2026.3665832
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• Advanced Learning Algorithms for Integrated Sensing and Communication (ISAC) Systems in 6G and Beyond: A Comprehensive Survey
  IEEE Communications Surveys & Tutorials 2026 DOI: 10.1109/COMST.2025.3584333
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• Adversarial Training Approach for Signal Identification in 5G-LTE Spectrum Sensing
  IEEE Wireless Communications Letters 2026 DOI: 10.1109/LWC.2025.3626806
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• Analysis and Optimization Framework for STAR-RIS-Aided Short-Packet Systems With Covert Rate-Splitting Signaling
  IEEE Transactions on Communications 2026 DOI: 10.1109/TCOMM.2026.3701862
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• Autonomous Algorithm Synthesis via Large Language Models for Multi-Hop Routing in IoT Networks
  Tran Cong Dao, Nguyen Cong Luong, Xingwang Li +3 more
  IEEE Wireless Communications Letters 2026 DOI: 10.1109/LWC.2026.3676041
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• Deep Spectrum Sensing via Residual One-For-All Group Convolutions and Hierarchical Auxiliary Fusion
  IEEE Wireless Communications Letters 2026 DOI: 10.1109/LWC.2026.3737138
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• Denoise2Seg: A Deep Denoising-Segmentation Model for Interference-Resilient Spectrum Sensing
  IEEE Wireless Communications Letters 2026 DOI: 10.1109/LWC.2026.3692384
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• DiffRefiner: Uncertainty-Aware Diffusion-Driven Latent Correction for Robust Spectrogram Analysis
  IEEE Communications Letters 2026 DOI: 10.1109/LCOMM.2026.3733310
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• Efficient Wheat Head Detection via Lightweight Deep Learning with YOLOv5 Enhancements
  Communications in Computer and Information Science 2026 DOI: 10.1007/978-3-031-98164-7_6
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