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Introduction
The Intelligent Multimedia & Advanced Computing (IMAC) Laboratory fosters innovation at the intersection of intelligent computing and multimedia technologies. We focus on developing cutting-edge solutions by leveraging the power of machine learning (ML) and deep learning (DL) for a wide range of applications.
Our core research directions include:
Machine Learning and Deep Learning for Radio Signal Processing and Wireless Communications: We explore the application of ML and DL techniques to enhance the efficiency and reliability of wireless communication systems. This includes research on channel modeling, signal detection, interference mitigation, and resource allocation, all powered by intelligent algorithms.
Image and Video Analysis for Multimedia Applications: The lab investigates advanced algorithms for image and video understanding. This encompasses object recognition, image/video segmentation, activity analysis, and content-based retrieval. These techniques can be applied to various domains, including medical imaging, autonomous vehicles, security surveillance, and human-computer interaction.
PhD Students
Truong Ngoc Ha
Electronics and Telecommunications
Year: 2024
Topic: Deep Learning-based Channel Estimation
Ngoc-Ha Truong, Gia-Vuong Nguyen, Ngoc Son Truong, Thien Huynh-The, "Towards Robust Channel Estimation in 5G with Atrous Pyramid Attention Networks," IEEE Communications Letters, (SCI(E), IF: 3.7), vol. 29, no. 6, pp. 1305-1309, Jun. 2025. [link]
Dang Phuoc Hai Trang
Electronics and Telecommunications
Year: 2024
Topic: Signal Classification and Spectrum Sensing
Hai-Trang Phuoc Dang, Huu-Tai Nguyen, Quoc-Viet Pham, Van-Ca Phan, Thien Huynh-The, "Adversarial Training Approach for Signal Identification in 5G-LTE Spectrum Sensing," IEEE Wireless Communications Letters, (SCI(E), IF: 5.5), (Early Access), 2025. [link]
Hai-Trang Phuoc Dang, Huu-Tai Nguyen, Quoc-Viet Pham, Van-Ca Phan, Thien Huynh-The, "Compact Spectrum Sensing with RPNet+CLRu: Reducing Model Size for 5G-LTE Signal Identification," IEEE Transactions on Vehicular Technology, (SCI(E), IF: 7.1), (Early Access), 2025. [link]
Nguyen Duc Hoc
Electronics and Telecommunications
Year: 2024
Topic: Video Processing, Object Detection, Deep Learning
Hoang Thi Phuong Anh
Electronics and Telecommunications
Year: 2025
Topic: Wireless Communications & Networking
Master Students
Ham-Thuat Vo
Computer Science & Engineering
Year: 2023 - 2024
Topic: TBD
Undergraduate Students
Thanh-Dat Tran
Computer Engineering
Year: 2022 - 2026
Topic: Signal Processing, Spectrum Sensing , Deep Learning
Publications:
Thanh-Dat Tran, Son Truong, Hoc Phan, Hai-Trang Dang, Thien Huynh-The, "Fusing Gated Spatial-Channel Units and Fractal Cross-Scale Attention for Lightweight Waveform Classification," the 14th International Symposium on Information and Communication Technology (SOICT '25), Nha Trang, Vietnam, Dec. 12-14, 2025. (Accepted)
Thanh-Dat Tran, Thien Huynh-The, "DTANet: High-Performance Network with Decoupled Three-Dimensional Attention for Radar-Communications Waveform Classification," IEEE Communications Letters, (SCI(E), IF: 4.4), (Accepted), 2025.
Huu-Tai Nguyen
Computer Engineering
Year: 2021 - 2025
Topic: Signal Processing, Spectrum Sensing , Deep Learning
Thesis: Mạng học sâu đối nghịch cho phân đoạn phổ tín hiệu 5G-LTE trong cảm biến phổ [Latex Source] [pptx]
Publications:
Hai-Trang Phuoc Dang, Huu-Tai Nguyen, Quoc-Viet Pham, Van-Ca Phan, Thien Huynh-The, "Adversarial Training Approach for Signal Identification in 5G-LTE Spectrum Sensing," IEEE Wireless Communications Letters, (SCI(E), IF: 5.5), (Accepted), 2025.
Huu-Tai Nguyen, Hai-Trang Phuoc Dang, Minh-Thanh Le, Ca V. Phan, Thien Huynh-The, "Spectrum Sensing in RadarCommunications Systems for Signal Identification: Deep Learning with ErrorGuided Refinement," 2025 International Conference on Advanced Technologies for Communications (ATC 2025), Ha Noi, 2025.
Hai-Trang Phuoc Dang, Huu-Tai Nguyen, Quoc-Viet Pham, Van-Ca Phan, Thien Huynh-The, "Compact Spectrum Sensing with RPNet+CLRu: Reducing Model Size for 5G-LTE Signal Identification," IEEE Transactions on Vehicular Technology, (SCI(E), IF: 7.1), (Accepted), 2025.
Thien Huynh-The, Huu-Tai Nguyen, Thai-Hoc Vu, Daniel Benevides da Costa, and Quoc-Viet Pham, "D2SNet: A Denoising-to-Segmentation Network for Enhanced 5G-LTE Spectrum Awareness," IEEE Wireless Communications Letters, (SCI(E), IF: 5.5), (Early Access), 2025. [link]
Huu-Tai Nguyen, Gia-Phat Hoang, Hai-Trang Phuoc Dang, and Thien Huynh-The, "A Lightweight Full-Resolution Encoder-Decoder Network for 5G-LTE Spectrogram-Based Spectrum Sensing," First International Conference on on Computational Intelligence in Engineering Science (ICCIES 2025), Ho Chi Minh City, Vietnam, July 23–25, 2025, pp. 403–416. [link]
Huu-Tai Nguyen, Hai-Trang Phuoc Dang, Quoc-Viet Pham, Thien Huynh-The, "Resolution-Preserving Multi-Scale Network for 5G-LTE Spectrogram-based Spectrum Sensing," IEEE Wireless Communications Letters, (SCI(E), Q1 JCR, IF: 4.6), (Early Access), 2025.
Huu-Tai Nguyen, Hai-Trang Phuoc Dang and Thien Huynh-The, "A Resolution-Preserving Multi-Scale Network for Spectrogram-Based Semantic Segmentation of 5G-LTE Signals in Spectrum Sensing," 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM), Bangkok, Thailand, 2025, pp. 1-6. [link]
Truong-Thinh Le
Embedded Systems and IoT
Year: 2021 - 2025
Topic: Signal Processing, Spectrum Sensing , Deep Learning
Thesis: Phát hiện phổ tín hiệu 5g và lte hiệu quả thông qua mạng phân đoạn hai đường dẫn đa tỷ lệ [Latex Source] [pptx]
Publications:
Thien Huynh-The, Minh-Thanh Le, Ngoc-Ha Truong, Van-Ca Phan, Truong-Thinh Le, "A Lightweight and Robust Framework for Waveform Classification Using Dynamic Warping and State-Space Models," the 14th International Symposium on Information and Communication Technology (SOICT '25), Nha Trang, Vietnam, Dec. 12-14, 2025. (Accepted)
Truong-Thinh Le, Son Ngoc Truong, Ngoc-Ha Truong, Tan Do-Duy, Thien Huynh-The, "State-Space Spectrum Sensing: the Asymmetric Multi-Scale Vision Network," 2025 International Conference on Advanced Technologies for Communications (ATC 2025), Ha Noi, 2025. [Best Paper Award]
Thien Huynh-The, Truong-Thinh Le, Thai-Hoc Vu, Daniel Benevides da Costa,, "CMNet: Radar-Communication Waveform Recognition via Convolution and Mamba Networks," IEEE Wireless Communications Letters, (SCI(E), Q1 IF: 5.5), vol. 14, no. 9, pp. 2997-3001, Sep. 2025. [link]
Truong-Thinh Le, Daniel Benevides da Costa, Thien Huynh-The, "Efficient Spectrum Sensing via a Multi-Scale Dual-Path Segmentation Network," IEEE Wireless Communications Letters, (SCI(E), IF: 4.6), vol. 14, no. 7, pp. 2134-2138, Jul. 2025. [link]
Truong-Thinh Le and Thien Huynh-The, "Cyberattacks Classification by Tuning Deep Hyperparameters Using Bayesian Optimization," 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM), Bangkok, Thailand, 2025, pp. 1-7. [link]
Phuc-Thinh Huynh
Embedded Systems and IoT
Year: 2021 - 2025
Topic: Network Intrustion Detection, Spectrum Sensing
Thesis: Thiết kế mô hình học sâu phát hiện và nhận dạng chính xác tín hiệu LTE – 5G trong ảnh phổ [Latex Source] [pptx]
Publications:
Phuc-Thinh Huynh, Minh-Thanh Le, Tran Duc Tan, Thien Huynh-The, "SD-YOLO: A Lightweight and High-Performance Deep Model for Small and Dense Object Detection," Signal, Image and Video Processing, (SCI(E), IF: 2.1), (Accepted), 2025.
Thien Huynh-The, Phuc-Thinh Huynh, Quoc-Viet Pham, "Spec-YOLO: An Efficient Deep Network for Spectrogram-based Signals Identification," IEEE Wireless Communications Letters, (SCI(E), IF: 5.5), (Early Access), 2025. [link]
Phuc-Thinh Huynh, Ngoc-Quy Pham, Van-Phuc Nguyen, Thien Huynh-The, "Efficient Wheat Head Detection via Lightweight Deep Learning with YOLOv5 Enhancements," First International Conference on on Computational Intelligence in Engineering Science (ICCIES 2025), Ho Chi Minh City, Vietnam, July 23–25, 2025, pp. 70-83. [link]
Alumni
(M. Eng) Duy-Huan Nguyen
Computer Science & Engineering
Year: 2024 - 2025
Topic: Deep Learning-based Spectrum Sensing
Publications:
Duy-Huan Nguyen, Toan-Van Nguyen, Thien Huynh-The, "Enhancing Spectrum Sensing for 5G and LTE with Improved U-Net Architecture," 2024 International Conference on Advanced Technologies for Communications (ATC), Ho Chi Minh City, Vietnam, 2024, pp. 167-172. [link]
(M. Eng) Quang-Thai Le
Computer Science & Engineering
Year: 2023 - 2024
Topic: Road-Scene Semantic Segmentation Using 3D LiDAR Point Cloud
Publications:
Quang-Thai Le, Quoc-Hung Tran, Thien Huynh-The, "Strategic Improvements of SqueezeSegV2 for Road-Scene Semantic Segmentation Using 3D LiDAR Point Cloud," SoICT 2023, Ho Chi Minh, 2023 (link).
Dat Minh-Tien Nguyen
Embedded Systems and IoT
Year: 2021 - 2025
Topic: Network Intrustion Detection, Remote Sensing
Publications:
Dat Minh-Tien Nguyen, Thien Huynh-The, "XSNet: Lightweight Object Detection Model Using x-shaped Architecture in Remote Sensing Images," IEEE Geoscience and Remote Sensing Letters, (SCI(E), IF: 4.4), (Accepted), 2025.
Dung Ngoc-Hoang, Dat Minh-Tien Nguyen, Thien Huynh-The, "SSC-YOLO: Spectral-Spatial Fusion Convolution for Ship Detection in SAR Imagery," 2025 International Conference on Advanced Technologies for Communications (ATC 2025), Ha Noi, 2025.
Dat Minh-Tien Nguyen and Thien Huynh-The, "RS-YOLOv10: Enhancing YOLOv10 for Accurate Small-Object Detection," 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM), Bangkok, Thailand, 2025, pp. 1-7. [link]
Nhat-Tung Nguyen
Embedded Systems and IoT
Year: 2021 - 2025
Topic: Optimized Deep Networks for Indoor Position and Localization
Publications:
Nhat-Tung Nguyen, Quynh-Nhu Thi Tran, Thien Huynh-The, "Optimized Deep Networks for Indoor Position and Localization Based on IEEE P802.11az," 2024 International Conference on Advanced Technologies for Communications (ATC), Ho Chi Minh City, Vietnam, 2024, pp. 672-677. [link]
Thanh-Lam Mai
Computer Science & Engineering
Year: 2020 - 2024
Topic: Deep Learning for Aerial Lidar Semantic Segmentation
Publications:
Lam Mai-Thanh, Truong Ngoc Son, Thien Huynh-The, "Lite-GrSeg: Lightweight Architecture for 3D Point Cloud Road-Scene Semantic Segmentation," GTSD 2024, Ho Chi Minh, 2024
Thanh-Lam Mai, Minh-Khoi Tran, Thien Huynh-The, "PointGANet: A Lightweight 3D Point Cloud Learning Architecture for Semantic Segmentation," SoICT 2023, Ho Chi Minh, 2023 (link).
Minh-Khoi Tran
Computer Science & Engineering
Year: 2020 - 2024
Topic: Deep Learning for Aerial Lidar Semantic Segmentation
Publications:
Thanh-Lam Mai, Minh-Khoi Tran, Thien Huynh-The, "PointGANet: A Lightweight 3D Point Cloud Learning Architecture for Semantic Segmentation," SoICT 2023, Ho Chi Minh, 2023 (link).
Gia-Vuong Nguyen
Current Position: Combined MS-PhD candidate at Sejong University
Major: Embedded Systems and IoT. Year: 2020- 2024
Topic: Spectrum Sensing for 5G Signals Identification
Publications:
Nguyen Cong Luong, Thien Huynh-The, Thai-Hoc Vu, Huy T. Nguyen, Nguyen Duc Hai, Gia-Vuong Nguyen, Nguyen Duc Duy Anh, Dusit Niyato, Dong In Kim, and Quoc-Viet Pham, "Advanced Learning Algorithms for Integrated Sensing and Communication (ISAC) Systems in 6G and Beyond: A Comprehensive Survey," IEEE Communications Surveys & Tutorials (SCI(E), IF: 46.7), (Early Access), 2025. [link]
Ngoc-Ha Truong, Gia-Vuong Nguyen, Ngoc Son Truong, Thien Huynh-The, "Towards Robust Channel Estimation in 5G with Atrous Pyramid Attention Networks," IEEE Communications Letters, (SCI(E), IF: 3.7), vol. 29, no. 6, pp. 1305-1309, Jun. 2025. [link]
Thien Huynh-The, Gia-Vuong Nguyen, Thai-Hoc Vu, Daniel Benevides da Costa, Quoc-Viet Pham, "SRNet: Deep Semantic Segmentation Network for Spectrum Sensing in Wireless Communications," IEEE Wireless Communications Letters, (SCI(E), Q1 JCR, IF: 4.6), vol. 14, no. 2, pp. 355-359, Feb. 2025. [link]
Gia-Vuong Nguyen, Thien Huynh-The, "Prune and Quantize Semantic Segmentation Network for Aerial Objects Recognition," REV Journal on Electronics and Communications, vol. 14, no. 3, Jul-Sep, 2024. [link]
Thien Huynh-The, Ngoc Son Truong, Gia-Vuong Nguyen, "HBSeNet: A Hybrid Bilateral Network for Accurate Semantic Segmentation of Remote Sensing Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (SCI(E), Q1 JCR, IF: 4.7), vol. 17, pp. 14179-14193, Aug. 2024. [link]
Gia-Vuong Nguyen, Thien Huynh-The, "Enhancing Aerial Semantic Segmentation with Feature Aggregation Network for DeepLabV3+," IEEE Geoscience and Remote Sensing Letters (SCI(E), Q1 JCR, IF: 4.0), vol. 21, pp. 1-5, Jul. 2024. (link)
Gia-Vuong Nguyen, Thien Huynh-The, "Accurate Spectrum Sensing with Improved DeepLabV3+ for 5G-LTE Signals Identification," SoICT 2023, Ho Chi Minh, 2023 (link).
Anh-Kiet Vo
Current Position: Combined MS-PhD candidate at Chungbuk National University
Major: Computer Science & Engineering. Year: 2020 - 2024
Topic: LiDAR Point Cloud based Object Detection
Publications:
Van-Sang Doan, Anh-Kiet Vo, Thien Huynh-The, "Multi-Task Deep Learning with Transpose Processing Pipeline for Joint Modulation Classification and DOA Estimation," IEEE Communications Letters, (SCI(E), IF: 4.4), (Early Access), 2025. [link]
Thien Huynh-The, Minh-Thanh Le, Won Jae Ryu, Anh-Kiet Vo, "CosPoint Transformer: Enhancing 3D Semantic Segmentation With Cosine Similarity Attention and Cross-Attention," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (SCI(E), IF: 5.3), vol. 18, pp. 18614-18632, 2025. [link]
Anh-Kiet Vo, Minh-Tuan Nguyen, Thien Huynh-The, "Enhancing Cost-Efficient Image Captioning through ExpansionNet v2 Optimization," GTSD 2024, Ho Chi Minh, 2024.
Anh-Kiet Vo, Thien Huynh-The, "LiPoSeg: A Lightweight Encoder-Decoder Network for LiDAR-based Road-Object Semantic Segmentation," SoICT 2023, Ho Chi Minh, 2023 (link).
Quoc-Hung Tran
Major: Computer Science & Engineering
Year: 2020 - 2024
Topic: LiDAR Point Cloud based Semantic Segmentation
Publications:
Quang-Thai Le, Quoc-Hung Tran, Thien Huynh-The, "Strategic Improvements of SqueezeSegV2 for Road-Scene Semantic Segmentation Using 3D LiDAR Point Cloud," SoICT 2023, Ho Chi Minh, 2023 (link).
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