Embedded Files
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
Dang Phuoc Hai Trang
Electronics and Telecommunications
Year: 2024
Topic: Signal Classification and Spectrum Sensing
Nguyen Duc Hoc
Electronics and Telecommunications
Year: 2024
Topic: Video Processing, Object Detection, Deep Learning
Master Students
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]
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).
Ham-Thuat Vo
Computer Science & Engineering
Year: 2023 - 2024
Topic: TBD
Undergraduate Students
Thanh-Dat Tran
Computer Engineering
Year: 2022 - 2026
Topic: Spectrum Sensing
Publications:
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: Spectrum Sensing
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, "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: Network Intrustion Detection, Spectrum Sensing
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, 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 JCR, IF: 5.5), (Accepted), 2025.
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), Q1 JCR, IF: 4.6), (Early Access), 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:
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]
Dat Minh-Tien Nguyen
Embedded Systems and IoT
Year: 2021 - 2025
Topic: Network Intrustion Detection, Remote Sensing
Publications:
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).
Alumni
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:
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:
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).
Page updated
Google Sites
Report abuse