PGS. TS ĐẶNG NGỌC MINH ĐỨC

Ts dang ngoc minh duc PGS. TS ĐẶNG NGỌC MINH ĐỨC

Chức vụ: Trưởng Khoa Công nghệ Thông tin

QUÁ TRÌNH ĐÀO TẠO

2005 – Kỹ sư ngành Kỹ thuật Điện tử – Viễn thông tại Trường Đại học Bách Khoa TP. Hồ Chí Minh

2007 – Thạc sĩ ngành Kỹ thuật Điện tử tại Trường Đại học Bách Khoa TP. Hồ Chí Minh

2014 – Tiến sĩ ngành Kỹ thuật Máy tính tại Đại học Kyung Hee, Hàn Quốc

CÁC MÔN HỌC THAM GIA GIẢNG DẠY

  • Programming Fundamentals
  • Internet of Things
  • Introduction to Computer Science
  • Research Methods & Academic Writing Skills
  • Digital Signal and Image Processing

HƯỚNG NGHIÊN CỨU CHÍNH

Hướng nghiên cứu 1: Giao thức MAC trong mạng ad hoc không dây (Wireless Ad Hoc Networks), mạng VANET (Vehicular Ad Hoc Networks), tối ưu điều khiển truy cập kênh truyền và quản lý năng lượng trong mạng truyền thông không dây.

Hướng nghiên cứu 2: Nhận dạng cảm xúc từ giọng nói (Speech Emotion Recognition), học đa phương thức (Multimodal Learning), học liên kết (Federated Learning), học sâu và trí tuệ nhân tạo ứng dụng.

Hướng nghiên cứu 3: Internet of Things – IoT.

CÔNG TRÌNH KHOA HỌC TIÊU BIỂU

a. Bài báo tạp chí khoa học 

  1. T. T. Nguyen, N. M. Nguyen, N. V. H. Phan, K. M. Nguyen, T. T. Pham, P.-N. Tran, C. T. Nguyen, and D. N. M. Dang, “Enhancing handwritten mathematical expression recognition with convolutional block attention refinement module and multi-task learning,” Journal of Information and Telecommunication, 2026, doi: 10.1080/24751839.2026.2716432.
  2. T. T. Le, P.-N. Tran, N. T. Pham, B. Manavalan, L. Shen, C. S. Hong, and D. N. M. Dang, “Federated learning for medical image analysis: Methods, challenges, and future directions,” Advanced Engineering Informatics, 2026, doi: 10.1016/j.aei.2026.104976.
  3. Phan, D. T., Nguyen, N. M., Nguyen, K. P., Tran, P.-N., Pham, N. T., Le, L., Hong, C. S., and Dang, D. N. M., “From object difficulty to image scoring: A strategy for active learning in object detection,” Knowledge-Based Systems, 2026, doi:10.1016/j.knosys.2026.115946.
  4. Nguyen, N. M., Nguyen, T. T., Le, T. T., Dang, N.-H., Vo, P. L., Hien, L. T., and Dang, D. N. M., “HyperDyG: Hypergraph-Driven Dynamic Fusion for Semi-Supervised Multimodal Emotion Recognition,” EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, vol. 13, no. 1, 2026, doi:10.4108/eetinis.131.10903.
  5. Nguyen, N. M., Nguyen, T. T., and Dang, D. N. M., “HemoGAT: Heterogeneous multimodal speech emotion recognition with cross-modal transformer and graph attention network,” Advances in Electrical and Electronic Engineering, 2026, doi:10.15598/aeee.v24i2.250415.
  6. Nguyen, N. M., Nguyen, M. T., Nguyen, T. T., Tran, P.-N., Pham, N. T., Le, L., Othmani, A., El Saddik, A., and Dang, D. N. M., “Enhancing multimodal emotion recognition with dynamic fuzzy membership and attention fusion,” Engineering Applications of Artificial Intelligence, 2026, doi:10.1016/j.engappai.2025.113396.
  7. Nguyen, N. M., Nguyen, T. T., Tran, P.-N., Lim, C. P., Pham, N. T., and Dang, D. N. M., “Multimodal fusion in speech emotion recognition: A comprehensive review of methods and technologies,” Engineering Applications of Artificial Intelligence, vol. 163, 2026, doi:10.1016/j.engappai.2025.112624.
  8. Dang, D. N. M., “Enhancing IEEE 802.11ah Networks: A Spatial Multi-Channel MAC Protocol,” Advances in Electrical and Electronic Engineering, vol. 23, no. 2, pp. 105–116, 2025, doi:10.15598/aeee.v23i2.240513.
  9. Tran, D. T., Nguyen, N. D. H., Pham, T. T., Tran, P.-N., Vu, T.-D. T., Nguyen, C. T., Dang-Ngoc, H., and Dang, D. N. M., “SwinTExCo: Exemplar-based Video Colorization using Swin Transformer,” Expert Systems with Applications, vol. 260, p. 125437, 2025, doi:10.1016/J.ESWA.2024.125437.
  10. Vo, P. T., Tran, A. K., Pham, D. L., Nguyen, H. N., Dang, D. N. M., Le, D.-D., Dang, T.-T., Nguyen, V.-L., Pham, T.-Q., and Nguyen, T.-B., “SMixSL: The Smashed-Mixture Technique for Split Learning With Localizable Features,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2025, doi:10.1109/TETCI.2024.3523698.
  11. Vo, P. T., Son, H. H., Dang, D. N. M., Nguyen, H. N., Le, D.-D., Nguyen, T.-B., Pham, T.-Q., Nguyen, V.-L., Huynh, D.-T., and Tran, A. K., “CroSSHeteroFL: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients,” IEEE Access, vol. 12, pp. 148011–148025, 2024, doi:10.1109/ACCESS.2024.3475737.
  12. Tran, A. K., Dang, T. N., Vo, P. T., Nguyen, H. N., Dang, D. N. M., Son, H. H., and Pham, D. L., “Safety Is Our Friend: A Federated Learning Framework Toward Driver’s State and Behavior Detection,” IEEE Transactions on Computational Social Systems, vol. 11, no. 2, pp. 2340–2358, 2024, doi:10.1109/TCSS.2023.3273727.
  13. Pham, N. T., Dang, D. N. M., Nguyen, N. D., Nguyen, T. T., Nguyen, H., Manavalan, B., Lim, C. P., and Nguyen, S. D., “Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition,” Expert Systems with Applications, vol. 230, p. 120608, 2023, doi:10.1016/J.ESWA.2023.120608.
  14. Son, H. H., Vo, P. T., Dang, D. N. M., Bui, T. D., Le, D.-D., Dang, T.-T., Nguyen, Q.-H., Pham, T.-Q., Nguyen, V.-L., Tran, A. K., and Nguyen, H. N., “A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks,” Journal of Information and Telecommunication, vol. 8, no. 1, pp. 1–17, 2023, doi:10.1080/24751839.2023.2235114.
  15. Son, H. H., Tran, A. K., Doan, T. P., Tran, H. K., Dang, D. N. M., and Nguyen, H. N., “Design and implementation of a VoIP PBX integrated Vietnamese virtual assistant: a case study,” Journal of Information and Telecommunication, vol. 7, no. 2, pp. 201–226, 2023, doi:10.1080/24751839.2023.2183631.
  16. Pham, N. T., Nguyen, S. D., Nguyen, V. S. T., Pham, B. N. H., and Dang, D. N. M., “Speech emotion recognition using overlapping sliding window and Shapley additive explainable deep neural network,” Journal of Information and Telecommunication, vol. 7, no. 3, pp. 317–335, 2023, doi:10.1080/24751839.2023.2187278.
  17. Tran, A.-T., Pham, N. T., Huynh, V. V., and Dang, D. N. M., “Stabilizing and Enhancing Frequency Control of Power System Using Decentralized Observer-Based Sliding Mode Control,” Journal of Control, Automation and Electrical Systems, vol. 34, pp. 541–553, 2023, doi:10.1007/S40313-022-00979-Y.
  18. Tran, A. K., Nguyen, Q. M., Son, H. H., Khoa, C. N. D., Tan, D. N., Nguyen, V., Nguyen, H. N., Dang, D. N. M., and Tin, N. T., “Wireless sensor networks and machine learning meet climate change prediction,” International Journal of Communication Systems, vol. 34, no. 3, pp. 1–18, 2021, doi:10.1002/DAC.4687.
  19. Dang, D. N. M., Ngo, Q. T., and Le-Trung, Q., “An adaptive and cooperative MAC protocol in vehicular ad hoc network: design and performance analysis,” International Journal of Ad Hoc and Ubiquitous Computing, vol. 35, no. 4, pp. 191–204, 2020, doi:10.1504/IJAHUC.2020.10033621.
  20. Ngo, Q. T., Dang, D. N. M., and Le-Trung, Q., “Extreme Power Saving Directional MAC Protocol in IEEE 802.11ah Networks,” IET Networks, vol. 9, no. 4, pp. 180–188, 2020, doi:10.1049/iet-net.2019.0176.
  21. Tran, A. K., Phuc, C. H., Pham, D. L., Nhu, L. M. B., Trong, N. M., Phuong, N. T. H., Nguyen, V. D., Tan-Y, N., Nguyen, H. N., and Dang, D. N. M., “Waste Management System Using IoT-Based Machine Learning in University,” Wireless Communications and Mobile Computing, vol. 2020, pp. 1–13, 2020, doi:10.1155/2020/6138637.
  22. Tran, A. K., Nhu, L. M. B., Son, H. H., Trong, N. M., Phuc, C. H., Phuong, N. T. H., Nguyen, V. D., Nguyen, H. N., Chau, D. S. T., and Dang, D. N. M., “Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study,” Wireless Communications and Mobile Computing, vol. 2020, pp. 1–18, 2020, doi:10.1155/2020/8896637.
  23. Pham, N. T., Dang, D. N. M., and Nguyen, S. D., “A Method upon Deep Learning for Speech Emotion Recognition,” Journal of Advanced Engineering and Computation, vol. 4, no. 4, pp. 273–285, 2020, doi:10.25073/JAEC.202044.311.
  24. Ngo, Q. T., Dang, D. N. M., and Tran, K. A., “Flying Height Optimization for Unmanned Aerial Vehicles in Cellular-Flying Adhoc Network,” Journal of Advanced Engineering and Computation, vol. 2, no. 4, pp. 216–223, 2018, doi:10.25073/JAEC.201824.210.
  25. Dang, D. N. M., Nguyen, V., Le, T. H. T., Hong, C. S., and Choe, J., “An efficient multi-channel MAC protocol for wireless ad hoc networks,” Ad Hoc Networks, vol. 44, pp. 46–57, 2016, doi:10.1016/j.adhoc.2016.02.013.
  26. Oo, T. Z., Tran, N. H., Dang, D. N. M., Han, Z., Le, L. B., and Hong, C. S., “OMF-MAC: An Opportunistic Matched Filter-Based MAC in Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, vol. 65, no. 4, pp. 2544–2559, 2016, doi:10.1109/TVT.2015.2415033.
  27. Vo, P. L., Dang, D. N. M., Lee, S., Hong, C. S., and Le, T.-Q., “A coalitional game approach for fractional cooperative caching in content-oriented networks,” Computer Networks, vol. 77, pp. 144–152, 2015, doi:10.1016/j.comnet.2014.12.005.
  28. Dang, D. N. M., Hong, C. S., and Lee, S., “A hybrid multi-channel MAC protocol for wireless ad hoc networks,” Wireless Networks, vol. 21, pp. 387–404, 2015, doi:10.1007/S11276-014-0789-8.
  29. Dang, D. N. M., Hong, C. S., Lee, S., and Huh, E.-N., “An Efficient and Reliable MAC in VANETs,” IEEE Communications Letters, vol. 18, no. 4, pp. 616–619, 2014, doi:10.1109/LCOMM.2014.030114.132504.
  30. Dang, D. N. M., Hong, C. S., Lee, S., and Lee, J., “A SINR-based MAC protocol for wireless ad hoc networks,” IEEE Communications Letters, vol. 16, no. 12, pp. 2016–2019, 2012, doi:10.1109/LCOMM.2012.111412.121916.

b. Bài báo hội nghị 

  1. H. Dang-Ngoc, D. N. M. Dang, and M. L. M. Dang, “Secrecy performance of sidelobe-controlled UPA beamforming for UAV communications under ground eavesdropper location uncertainty,” in Proc. 5th Int. Conf. Intelligence of Things (ICIT), 2026.
  2. H. Dang-Ngoc, N. M. Nguyen, and D. N. M. Dang, “A UAV-enabled framework for early rip-current warning using lightweight patch-based inference and temporally stabilized risk estimation,” in Proc. 5th Int. Conf. Intelligence of Things (ICIT), 2026.
  3. D. T. Phan, L. P. Nguyen, N. V. H. Phan, T. N. Thai, and D. N. M. Dang, “Three-rank calibrated entropy-weighted clustering for active learning with vision-language models,” in Proc. 5th Int. Conf. Intelligence of Things (ICIT), 2026.
  4. N. M. Nguyen, N. T. Pham, Q. N. Hoang, H. Dang-Ngoc, A. N. T. Mai, and D. N. M. Dang, “Prompt-guided missing modality completion for multimodal emotion recognition,” in Proc. Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2026.
  5. B. Q. Nguyen, H. K. Trang, N. M. Nguyen, and D. N. M. Dang, “Relational and sequential learning for transition-aware multimodal emotion recognition in conversation,” in Proc. Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2026.
  6. D. T. Phan, T. N. Thai, K. Nguyen, N. Nguyen, and D. N. M. Dang, “CorrTie: Correction-aware tie-breaking for active learning with vision-language models,” in Proc. APWeb-WAIM Joint Int. Conf. Web and Big Data, 2026.
  7. K. Nguyen, N. Phan, P. Nguyen, D. T. Phan, T. Pham, and D. N. M. Dang, “LexiChem: Shared-latent alignment for faithful text-to-molecule generation in SELFIES space,” in Proc. APWeb-WAIM Joint Int. Conf. Web and Big Data, 2026.
  8. Q. N. Hoang, M. T. Nguyen, and D. N. M. Dang, “Hybrid quantum federated learning for brain tumor MRI analysis,” in Proc. IEEE 11th Int. Conf. Communications and Electronics (ICCE), Nha Trang, Vietnam, 2026.
  9. T. T. Nguyen, N. M. Nguyen, D. T. Phan, Q. N. Hoang, T. M. Pham, and D. N. M. Dang, “Swin Transformer V2 for optical chemical structure recognition: Comparison with convolutional neural networks and Swin Transformer variants,” in Proc. ECTI-CON, Chonburi, Thailand, 2026.
  10. D. T. Nguyen, A. T. M. Trang, Q. T. Do, D. H. Ngo, N. D. H. Nguyen, and D. N. M. Dang, “Benchmarking DNA foundation models for splice site prediction across varying context lengths,” in Proc. ECTI-CON, Chonburi, Thailand, 2026.
  11. K. T. Duong, T. L. P. Vo, T. Kieu, and D. N. M. Dang, “Multi-domain time series reconstruction with frequency-enhanced transformers,” in Proc. FLINS-ISKE, Sydney, Australia, 2026.
  12. Q. N. Hoang, D. N. H. Dang, T. K. H. Vuong, and D. N. M. Dang, “DisQuan: A Hybrid Quantum-Classical Architecture for Plant Disease Detection in Staple and Specialty Crops,” in Proc. 4th Int. Conf. Advanced Sensing and Intelligent Systems (ICASIS), Hong Kong, China, May 2026.
  13. Q. N. Hoang, D. N. H. Dang, T. K. H. Vuong, and D. N. M. Dang, “QMicroNet: A Quantum Hybrid Approach to Robust Cross-Domain Medical Image Analysis,” in Proc. 4th Int. Conf. Advanced Sensing and Intelligent Systems (ICASIS), Hong Kong, China, May 2026.
  14. Q. N. Hoang, M. T. Pham, and D. N. M. Dang, “HQM-Net: A Hybrid Quantum-Classical Medical Imaging Architecture for Multi-Disease Classification across Heterogeneous Modalities,” in Proc. 7th Int. Conf. Machine Learning and Human-Computer Interaction (MLHMI), Tokyo, Japan, Mar. 2026.
  15. N. M. Nguyen, T. T. Le, T. T. Nguyen, and D. N. M. Dang, “SemiFedER: Semi-supervised Federated Averaging for Multimodal Emotion Recognition,” in Proc. 7th Int. Conf. Machine Learning and Human-Computer Interaction (MLHMI), Tokyo, Japan, Mar. 2026.
  16. N. V. H. Phan, K. M. Nguyen, P. N. N. Thien, N. D. H. Nguyen, T. M. Pham, and D. N. M. Dang, “ChemAligner-T5: A Unified Text-to-Molecule Model via Representation Alignment,” in Proc. 2nd Int. Conf. Computational Intelligence in Engineering Science (ICCIES), Nha Trang, Vietnam, Apr. 2026.
  17. P. L. Nguyen, D. T. Phan, T. T. Nguyen, N. M. Nguyen, and D. N. M. Dang, “YOLOv5-powered Smart Parking System with IoT-based Real-Time Slot Monitoring,” in Proc. 19th Int. Conf. Computing and Communication Technologies (RIVF), Vietnam, 2025.
  18. Q. N. Hoang, T. T. Pham, and D. N. M. Dang, “Efficient Hybrid Quantum-Classical Convolutional Neural Network with Feature Propagation Layer for Multi-Class Image Classification,” in Proc. 10th Int. Conf. Advanced Engineering – Theory and Applications (AETA), Vietnam, 2025.
  19. T. T. Le, N. M. Nguyen, N. T. Pham, P.-N. Tran, N. D. H. Nguyen, P. L. Vo, B. Manavalan, and D. N. M. Dang, “Federated Semi-Supervised FixMatch: Enhancing CutMix for Medical Image Segmentation,” in Proc. IEEE Int. Conf. Big Data, Macau SAR, China, 2025.
  20. D. T. Phan, N. M. Nguyen, and D. N. M. Dang, “DAAL: Dual Ambiguity in Active Learning for Object Detection with YOLOE,” in Proc. 17th Int. Conf. Management of Digital EcoSystems (MEDES), Ho Chi Minh City, Vietnam, Nov. 24–26, 2025.
  21. N. M. Nguyen, D. T. Phan, and D. N. M. Dang, “GloMER: Towards Robust Multimodal Emotion Recognition via Gated Fusion and Contrastive Learning,” in Proc. 17th Int. Conf. Management of Digital EcoSystems (MEDES), Ho Chi Minh City, Vietnam, Nov. 24–26, 2025.
  22. T. N. P. Linh, N. K. Ly, H. Dang-Ngoc, L. K. Kim, and D. N. M. Dang, “Towards Scalable EEG-Based Emotion Recognition for Mental Health: A Multi-Task Learning Approach,” in Proc. Int. Symp. Electrical and Electronics Engineering (ISEE), Ho Chi Minh City, Vietnam, Oct. 23–24, 2025.
  23. V. D. Tai, N. X. Tuyen, H. Dang-Ngoc, V. Q. Son, and D. N. M. Dang, “Enhancing Urban Traffic Safety with VANET: A Simulation-Based Multi-Scenario Alert System,” in Proc. Int. Symp. Electrical and Electronics Engineering (ISEE), Ho Chi Minh City, Vietnam, Oct. 23–24, 2025.
  24. D.-H. Hoang, D. T. Nguyen, Q. H. Tran, T. T. Nguyen, N. M. Nguyen, and D. N. M. Dang, “YOLO-Powered Traffic Sign Detection and OpenStreetMap Integration for Intelligent Navigation,” in Proc. Asia-Pacific Network Operations and Management Symposium (APNOMS), Kaohsiung, Taiwan, Sep. 2025.
  25. N. M. Nguyen, T. T. Le, T. T. Nguyen, D. T. Phan, A. K. Tran, and D. N. M. Dang, “CemoBAM: Advancing Multimodal Emotion Recognition through Heterogeneous Graph Networks and Cross-Modal Attention Mechanisms,” in Proc. Asia-Pacific Network Operations and Management Symposium (APNOMS), Kaohsiung, Taiwan, Sep. 2025.
  26. D. T. Phan, N. M. Nguyen, K. P. Nguyen, T. Pham, and D. N. M. Dang, “ALMUS: Enhancing Active Learning for Object Detection with Metric-Based Uncertainty Sampling,” in Proc. Asia-Pacific Network Operations and Management Symposium (APNOMS), Kaohsiung, Taiwan, Sep. 2025.
  27. N. V. H. Phan, M.-K. Nguyen, T. T. Nguyen, T. T. Pham, P.-N. Tran, and D. N. M. Dang, “Mask CoMER: Enhancing Handwritten Mathematical Expression Recognition with Masked Language Pretraining and Regularization,” in Proc. Int. Conf. Document Analysis and Recognition (ICDAR), Wuhan, China, Sep. 16–21, 2025.
  28. B. H. T. Phan, H. H. S. Vu, X. L. B. Nguyen, T. D. Huynh, D. T. T. Vu, and D. N. M. Dang, “LLM-Guided Multi-Object Tracking: Enhancing Retail Insights with TempRMOT,” in Proc. 6th Int. Conf. Machine Learning and Human-Computer Interaction (MLHMI), Kawasaki, Japan, 2025, pp. 69–73, doi: 10.1109/MLHMI66056.2025.00018.
  29. P.-N. Tran, D. N. M. Dang, E.-N. Huh, and C. S. Hong, “Additive Angular Margin Loss for Federated Learning in Image Classification,” in Proc. 39th Int. Conf. Information Networking (ICOIN), Chiang Mai, Thailand, Jan. 15–17, 2025.
  30. [19] D. T. Phan, P.-N. Tran, and D. N. M. Dang, “Improving Face Attendance Checking System with Ensemble Learning,” in Proc. RIVF Int. Conf. Computing and Communication Technologies (RIVF), Da Nang, Vietnam, Dec. 21–23, 2024.
  31. N. M. Nguyen, T. T. Nguyen, H. H. Nguyen, P.-N. Tran, and D. N. M. Dang, “Voice-Based Age and Gender Recognition: A Comparative Study of LSTM, RezoNet and Hybrid CNNs-BiLSTM Architecture,” in Proc. Int. Conf. ICT Convergence (ICTC), Jeju, Korea, Oct. 16–18, 2024.
  32. T. T. Le, N. T. Pham, P.-N. Tran, and D. N. M. Dang, “Federated Learning with U-Net for Brain Tumor Segmentation: Impact of Client Numbers and Data Distribution,” in Proc. Int. Conf. ICT Convergence (ICTC), Jeju, Korea, Oct. 16–18, 2024.
  33. P.-N. Tran, N. T. Pham, H. N. V. Phan, D. T. Phan, T. C. Nguyen, and D. N. M. Dang, “Towards Real-time Vietnamese Traffic Sign Recognition on Embedded Systems,” in Proc. Int. Conf. ICT Convergence (ICTC), Jeju, Korea, Oct. 16–18, 2024.
  34. T. M. Nguyen, P.-N. Tran, and D. N. M. Dang, “Enhancing Speech Emotion Recognition through Knowledge Distillation,” in Proc. Int. Conf. ICT Convergence (ICTC), Jeju, Korea, Oct. 16–18, 2024.
  35. N. V. H. Phan, T. T. Le, T. P. Phan, T. T. Le, P.-N. Tran, N. T. Pham, and D. N. M. Dang, “Deep Learning-Based Automated Cashier System for Bakeries,” in Proc. Int. Conf. Intelligent Information Technology (ICIIT), Feb. 23–25, 2024.
  36. D. K. Phan, P.-N. Tran, N. T. Pham, T. H. T. Le, and D. N. M. Dang, “Innovative Multi-Modal Control for Surveillance Spider Robot: An Integration of Voice and Hand Gesture Recognition,” in Proc. Int. Conf. Intelligent Information Technology (ICIIT), Feb. 23–25, 2024.
  37. D. T. Nguyen, M. K. Phan, P.-N. Tran, and D. N. M. Dang, “Vietnamese Traffic Sign Recognition Using Deep Learning,” in Proc. Int. Conf. Intelligent Information Technology (ICIIT), Feb. 23–25, 2024.
  38. C. H. Le, H. P. Ly, D. T. Nguyen, H. Dang-Ngoc, T.-D. T. Vu, and D. N. M. Dang, “Deep Learning Based Attendance Check System at FPT University,” in Proc. Int. Conf. Intelligent Information Technology (ICIIT), Feb. 23–25, 2024.
  39. T. M. Huynh, D. L. Nguyen, T. T. Nguyen, T.-D. T. Vu, H. Dang-Ngoc, and D. N. M. Dang, “CLIP-Prefix for Image Captioning and an Experiment on Blind Image Guessing,” in Proc. EAI Int. Conf. Industrial Networks and Intelligent Systems (INISCOM), Feb. 20–21, 2024.
  40. B. H. Dang, H. D. Nguyen, T. N. Vo, P.-N. Tran, C. T. Nguyen, and D. N. M. Dang, “Performance Comparison in Traffic Sign Recognition Using Deep Learning,” in Proc. EAI Int. Conf. Industrial Networks and Intelligent Systems (INISCOM), Feb. 20–21, 2024.
  41. Q. B. Le, K. T. Trinh, N. D. H. Son, P.-N. Tran, C. T. Nguyen, and D. N. M. Dang, “MERSA: Multimodal Emotion Recognition with Self-Align Embedding,” in Proc. Int. Conf. Information Networking (ICOIN), Jan. 17–19, 2024.
  42. N. T. Pham, L. T. Phan, D. N. M. Dang, and B. Manavalan, “SER-Fuse: An Emotion Recognition Application Utilizing Multi-Modal, Multi-Lingual, and Multi-Feature Fusion,” in Proc. Int. Symp. Information and Communication Technology (SoICT), Ho Chi Minh City, Vietnam, Dec. 7–8, 2023.
  43. D. T. Tran, H.-N. Nguyen-Doan, T. T. Pham, P.-N. Tran, T.-D. T. Vu, and D. N. M. Dang, “Vitexco: Exemplar-based Video Colorization Using Vision Transformer,” in Proc. Int. Conf. ICT Convergence (ICTC), Jeju, Korea, Oct. 11–13, 2023.
  44. D.-H. Hoang, D. N. M. Dang, H. Dang-Ngoc, A.-K. Tran, P.-N. Tran, and C. T. Nguyen, “RBBA: ResNet–BERT–Bahdanau Attention for Image Caption Generator,” in Proc. Int. Conf. ICT Convergence (ICTC), Jeju, Korea, Oct. 11–13, 2023.
  45. P.-N. Tran, T.-D. T. Vu, N. T. Pham, H. Dang-Ngoc, and D. N. M. Dang, “Comparative Analysis of Multi-Loss Functions for Enhanced Multi-Modal Speech Emotion Recognition,” in Proc. Int. Conf. ICT Convergence (ICTC), Jeju, Korea, Oct. 11–13, 2023.
  46. N. P. Tran, T.-D. Vu, D. N. M. Dang, N. T. Pham, and A. K. Tran, “Multi-modal Speech Emotion Recognition: Improving Accuracy through Fusion of VGGish and BERT Features with Multi-head Attention,” in Proc. EAI Int. Conf. Industrial Networks and Intelligent Systems (INISCOM), Ho Chi Minh City, Vietnam, Aug. 2–3, 2023.
  47. P. T. Vo, V. A. Nguyen, X. B. L. Nguyen, D. N. M. Dang, and A. K. Tran, “Performance Analysis of Distributed Learning in Edge Computing on Handwritten Digits Dataset,” in Proc. EAI Int. Conf. Industrial Networks and Intelligent Systems (INISCOM), Ho Chi Minh City, Vietnam, Aug. 2–3, 2023.
  48. D. N. M. Dang and N. T. Pham, “Uplink Registration-Based MAC Protocol for IEEE 802.11ah Networks,” in Proc. Int. Conf. Intelligent Information Technology (ICIIT), Da Nang, Vietnam, Feb. 24–26, 2023.
  49. N. T. Pham, D. N. M. Dang, B. N. H. Pham, and S. D. Nguyen, “SERVER: Multi-modal Speech Emotion Recognition Using Transformer-Based and Vision-Based Embeddings,” in Proc. Int. Conf. Intelligent Information Technology (ICIIT), Da Nang, Vietnam, Feb. 24–26, 2023.
  50. D. N. M. Dang, A. K. Tran, and N. T. Pham, “Priority-Based Uplink RAW Slot Utilization in the IEEE 802.11ah Networks,” in Proc. Int. Conf. Advanced Engineering – Theory and Applications (AETA), Vietnam, Dec. 8–10, 2022.
  51. N. T. Pham, A.-T. Tran, B. N. H. Pham, H. Dang-Ngoc, S. D. Nguyen, and D. N. M. Dang, “Speech Emotion Recognition: A Brief Review of Multi-Modal Multi-Task Learning Approaches,” in Proc. Int. Conf. Advanced Engineering – Theory and Applications (AETA), Vietnam, Dec. 8–10, 2022.
  52. D. N. M. Dang, V.-T. Tran, L. H. Nguyen, N. T. Pham, A. K. Tran, and H. N. Dang, “Space-Frequency Diversity Based MAC Protocol for IEEE 802.11ah Networks,” in Proc. Int. Conf. Advanced Technologies for Communications (ATC), Hanoi, Vietnam, Oct. 20–22, 2022.
  53. N. T. Pham, V. D. Pham, Q. Nguyen-Van, B. H. Nguyen, D. N. M. Dang, and S. D. Nguyen, “Vietnamese Scene Text Detection and Recognition Using Deep Learning: An Empirical Study,” in Proc. Int. Conf. Green Technology and Sustainable Development (GTSD), Nha Trang, Vietnam, 2022.
  54. V. D. Pham, L. Q. Nguyen, N. T. Pham, B. H. Nguyen, D. N. M. Dang, and S. D. Nguyen, “Key Information Extraction from Mobile-Captured Vietnamese Receipt Images Using Graph Neural Networks Approach,” in Proc. Int. Conf. Green Technology and Sustainable Development (GTSD), Nha Trang, Vietnam, 2022.
  55. D. N. M. Dang, A. K. Tran, N. T. Pham, T. K. Duong, and H. Dang-Ngoc, “Safety Message Broadcast Reliability Enhancement MAC Protocol in VANETs,” in Proc. Int. Conf. Communications and Electronics (ICCE), Nha Trang, Vietnam, 2022.
  56. S. C. Nguyen, M. Hoang, T. P. Vo, and D. N. M. Dang, “Efficient Resource Allocation Using Federated Learning in Cellular Networks,” in Proc. ACM Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR), 2022.
  57. A. K. Tran, M. T. Nguyen, L. M. B. Nhu, C. H. Phuc, V. Nguyen, and D. N. M. Dang, “Design of a Soil Moisture Sensor for Application in a Smart Watering System,” in Proc. IEEE Sensors Applications Symposium (SAS), 2021.
  58. A. K. Tran, D. N. T. Truong, and D. N. M. Dang, “Cross-Modal Deep Neural Networks Based Smartphone Authentication for Intelligent Things System,” in Proc. Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR), 2021.
  59. P. C. Bao, D. V. X. Huong, D. N. M. Dang, Q. Le-Trung, and L. D. Khai, “High Throughput and Low Complexity Implementation for Uplink Scheme of 5G Technology,” in Proc. Int. Conf. Telecommunications (ICT), Hanoi, Vietnam, Apr. 8–10, 2019.
  60. Q. T. Ngo, D. N. M. Dang, L. T. Quan, and L. D. Khai, “A Novel Directional MAC in Restricted Access Window for IEEE 802.11ah Networks,” in Proc. Int. Conf. Telecommunications (ICT), Hanoi, Vietnam, Apr. 8–10, 2019.
  61. D. N. M. Dang, Q. T. Ngo, H. N. Dang, and P. L. Vo, “Analytical Study of the IEEE 1609.4 MAC in Vehicular Ad Hoc Networks,” in Proc. Int. Conf. Advanced Engineering – Theory and Applications (AETA), Ho Chi Minh City, Vietnam, Dec. 7–9, 2017.
  62. Q. T. Ngo and D. N. M. Dang, “Enhanced Self-Sorting Based MAC Protocol for Vehicular Ad-Hoc Networks,” in Proc. Int. Conf. Advanced Engineering – Theory and Applications (AETA), Ho Chi Minh City, Vietnam, Dec. 7–9, 2017.
  63. D. N. M. Dang, Q. T. Ngo, H. N. Dang, P. L. Vo, and C. S. Hong, “Directional Multi-Channel MAC for VANETs,” in Proc. Int. Conf. Advanced Engineering – Theory and Applications (AETA), Busan, Korea, Dec. 8–10, 2016.
  64. Q. T. Ngo and D. N. M. Dang, “A Dynamic Cooperative MAC Protocol for Vehicular Ad-Hoc Networks,” in Proc. Int. Conf. Advanced Engineering – Theory and Applications (AETA), Busan, Korea, Dec. 8–10, 2016.
  65. P. L. Vo, L. V. Nguyen, T.-A. Le, and D. N. M. Dang, “A QoE-Based Caching Algorithm for HTTP Adaptive Streaming Contents in Radio Access Networks,” in Proc. Int. Conf. Communications and Electronics (ICCE), Ha Long, Vietnam, Jul. 27–29, 2016.
  66. D. N. M. Dang, Q. T. Ngo, H. N. Dang, and C. S. Hong, “A Multi-Channel MAC Protocol with Power Control for Wireless Ad Hoc Networks,” in Proc. Int. Conf. Advanced Engineering – Theory and Applications (AETA), Ho Chi Minh City, Vietnam, Dec. 9–11, 2015.
  67. D. N. M. Dang, H. N. Dang, P. L. Vo, and Q. T. Ngo, “A Cooperative–Efficient–Reliable MAC Protocol for Vehicular Ad Hoc Networks,” in Proc. Int. Conf. Advanced Technologies for Communications (ATC), Ho Chi Minh City, Vietnam, Oct. 14–16, 2015.
  68. D. N. M. Dang, T. H. T. Le, H. S. Kang, C. S. Hong, and J. Choe, “Multi-Channel MAC Protocol with Directional Antennas in Wireless Ad Hoc Networks,” in Proc. Int. Conf. Information Networking (ICOIN), Siem Reap, Cambodia, Jan. 12–14, 2015.
  69. V. Nguyen, O. Tran, D. N. M. Dang, and C. S. Hong, “Application of the Lowest-ID Algorithm in Cluster-Based TDMA System for VANETs,” in Proc. Int. Conf. Information Networking (ICOIN), Siem Reap, Cambodia, Jan. 12–14, 2015.
  70. P. L. Vo, T.-A. Le, S. Ullah, and D. N. M. Dang, “Content Caching for Adaptive Bit Rate Streaming in Cache Networks,” in Proc. Int. Conf. Advanced Computing and Applications (ACOMP), Ho Chi Minh City, Vietnam, Nov. 19–21, 2014.
  71. D. N. M. Dang, V. Nguyen, P. Chuan, T. Z. Oo, and C. S. Hong, “A Reliable Multi-hop Safety Message Broadcast in Vehicular Ad Hoc Networks,” in Proc. Asia-Pacific Network Operations and Management Symposium (APNOMS), Taiwan, Sep. 17–19, 2014.
  72. V. Nguyen, D. N. M. Dang, S. Jang, and C. S. Hong, “e-VeMAC: An Enhanced Vehicular MAC Protocol to Mitigate the Exposed Terminal Problem,” in Proc. Asia-Pacific Network Operations and Management Symposium (APNOMS), Taiwan, Sep. 17–19, 2014.
  73. D. N. M. Dang, H. N. Dang, V. Nguyen, Z. Htike, and C. S. Hong, “HER-MAC: A Hybrid Efficient and Reliable MAC for Vehicular Ad Hoc Networks,” in Proc. IEEE Int. Conf. Advanced Information Networking and Applications (AINA), Victoria, Canada, May 13–16, 2014, pp. 186–193.
  74. C. T. Do, D. N. M. Dang, T. A. Le, T. H. Nguyen, H. Rim, and C. S. Hong, “Power Control under QoS and Interference Constraint in Femtocell Cognitive Networks,” in Proc. Int. Conf. Information Networking (ICOIN), Phuket, Thailand, Feb. 10–12, 2014.
  75. D. N. M. Dang, P. L. Vo, C. K. Hwang, and C. S. Hong, “Mitigating Starvation in Wireless Ad Hoc Networks: Multi-channel MAC and Power Control,” in Proc. Int. Conf. Ubiquitous Information Management and Communication (IMCOM), Siem Reap, Cambodia, Jan. 9–12, 2014.
  76. D. N. M. Dang, H. N. Dang, C. T. Do, and C. S. Hong, “Performance Analysis of the IEEE 802.11p under Finite Traffic Conditions,” in Proc. Int. Conf. Advanced Engineering – Theory and Applications (AETA), Ho Chi Minh City, Vietnam, Dec. 11–13, 2013, pp. 191–199.
  77. D. N. M. Dang, H. N. Dang, C. T. Do, and C. S. Hong, “An Efficient and Reliable MAC for Vehicular Ad Hoc Networks,” in Proc. Asia-Pacific Network Operations and Management Symposium (APNOMS), Hiroshima, Japan, Sep. 25–27, 2013, pp. 1–5.
  78. D. N. M. Dang, H. N. Dang, C. T. Do, and C. S. Hong, “An Enhanced Multi-channel MAC for Vehicular Ad Hoc Networks,” in Proc. IEEE Wireless Communications and Networking Conf. (WCNC), Shanghai, China, Apr. 7–10, 2013, pp. 351–355.
  79. D. N. M. Dang, M. V. Nguyen, C. S. Hong, S. Lee, and K. Chung, “An Energy Efficient Multi-channel MAC Protocol for Wireless Ad Hoc Networks,” in Proc. IEEE Global Communications Conf. (GLOBECOM), Anaheim, CA, USA, Dec. 3–7, 2012, pp. 433–438.
  80. D. N. M. Dang, T. Q. Nguyen, C. S. Hong, and J. P. Hong, “An Enhanced Multi-channel MAC Protocol for Wireless Ad Hoc Networks,” in Proc. Asia-Pacific Network Operations and Management Symposium (APNOMS), Seoul, Korea, Sep. 25–27, 2012, pp. 1–4.
  81. D. N. M. Dang and C. S. Hong, “A SINR-based Transmission Power Control for MAC Protocol in Wireless Ad Hoc Networks,” in Proc. Int. Conf. Communications and Electronics (ICCE), Hue, Vietnam, Aug. 1–3, 2012, pp. 103–107.
  82. D. N. M. Dang and C. S. Hong, “H-MMAC: A Hybrid Multi-channel MAC Protocol for Wireless Ad Hoc Networks,” in Proc. IEEE Int. Conf. Communications (ICC), SaCoNet-III Workshop, Ottawa, Canada, Jun. 10–15, 2012, pp. 6489–6493.

c. Sách chuyên khảo, giáo trình và chương sách

Dang, D. N. M., & Hong, C. S. Multi-channel MAC Protocols and Power Control for Wireless Ad hoc Networks. Wiley Encyclopedia of Electrical and Electronics Engineering. DOI: 10.1002/047134608X.W8305

d. Đề tài, dự án tiêu biểu

  1. Real-time traffic sign detection and recognition in Vietnam, mã số DHFPT/2023/10, thời gian thực hiện từ 07/2023 – 07/2024, Chủ nhiệm đề tài.
  2. Multi-Modal Fusion in Speech Emotion Recognition, mã số DHFPT/2025/10, thời gian thực hiện từ 04/2025 – 10/2025, Chủ nhiệm đề tài.

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