Nguyen Huu Nhat Minh

Nguyen Huu Nhat Minh

received Ph.D. degree in Computer Science and Engineering from Kyung Hee University, South Korea, in 2020. He continued PostDoc with Federated Learning and Democratized Learning at Intelligent Networking lab, Kyung Hee University, South Korea. He is Deputy Head of Department of Science, Technology, and International Cooperation, and In charge of Research Program at Digital Science and Technology Institute, The University of Danang – Vietnam - Korea University of Information and Communication Technology, Vietnam. He received the best KHU Ph.D. thesis award in engineering in 2020. He had publications in premier ACM/IEEE journals and conferences. His research interests include wireless communications, federated learning, NLP, and computer vision.

Dr. Minh N. H. Nguyen's CV

Personal Statement

As a research scientist, I am passionate about developing sustainable solutions for open practical problems of social benefit in future multi-domain complex systems. Throughout this journey, I have challenged myself with an open mind and explored many emerging domains to find the proper solution approaches.

Education

Working Experience

Projects

  1. Tối Ưu Bao Phủ Đối Tượng Đảm Bảo Kết Nối Và Kéo Dài Thời Gian Sống Trong Mạng Cảm Biến Không Dây Ứng Dụng Trong Triển Khai Hệ Thống IOT (Optimal Object Coverage Ensuring Connectivity and Prolonging Network Lifetime in Wireless Sensor Networks Applied in IoT Deployment), Ministry of Education and Training, B2023.DNA.13, Member, 2023-2024
  2. Phát Triển Trợ Lý Ảo Thông Minh Hỗ Trợ Tìm Kiếm Và Giới Thiệu Việc Làm Công Nghệ Thông Tin Dựa Trên Xử Lý Ngôn Ngữ Tự Nhiên (Develop Virtual Assistant for Job Recommendation using Natural Language Processing), VKU University Project, ĐHVH-2023-01, Project Investigator, 2024
  3. Hybrid Learning based Abusive Website Detection, Joint Research with Vietnam Internet Network Information Center (VNNIC), Member, 2024
  4. Phát hiện và khoanh vùng dịch bệnh cây cà phê lên bản đồ số của tỉnh Kon Tum (Coffee plant diseases Detection and Localization on digital maps of Kon Tum Province), Kon Tum Province Project, Member, 2024
  5. Deep Learning based Detection for Common Ear, Nose and Throat (ENT) Disorders using Endoscopic Images, Joint Research with Phan Chau Trinh Medical University, Member, 2024

Keynotes

  1. AIM-2024, “Federated Learning: Towards Knowledge Transfer Across Models”, Conf Link
  2. EAI ADHOCNETS-2023, “Federated Learning: Towards Large-scale Distributed Learning Systems”, Conf Link
  3. Workshops, “Federated Learning and Democratized Learning: Towards Large-scale Distributed Learning Systems”

Patents

  1. Energy Efficient Wi-Fi Management for Smart Devices (P2013329-01-KR_IP130072N), South Korea, 2014

Awards

  1. Best PhD Thesis Award, 2020, Kyung Hee University, South Korea
  2. Individuals with outstanding publications in 2024, University of Danang
  3. Individuals with outstanding publications in 2022-2023, University of Danang
  4. Outstanding paper publication in prestigious journals, 2023, Da Nang People’s Committee
  5. Best paper Awards at KSC 2016, KCC 2017, JOK 2018, and KSC 2019 conferences
  6. Instructor certificates for national and international student research, innovation competitions

Selected Publications

2025

  1. Ha Thi Minh Phuong, Pham Vu Thu Nguyet, Nguyen Huu Nhat Minh, Le Thi My Hanh & Nguyen Thanh Binh, “A Review of Handling Imbalanced Data using Generative Adversarial Networks for Machine Learning Based Software Fault Detection”, Accepted in Applied Intelligence, Jan. 2025, Paper
  2. Ye Lin Tun, Chu Myaet Thwal, Minh N. H. Nguyen, Choong Seon Hong, “Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training”, Accepted in IEEE Internet of Things Journal, 2025, Arxiv, IEEE
  3. Huy Q. Le, Chu Myaet Thwal, Yu Qiao, Ye Lin Tun, Minh N. H. Nguyen, Eui-Nam Huh, Choong Seon Hong, “Cross-Modal Prototype based Multimodal Federated Learning under Severe Missing Modality”, Accepted in Information Fusion Arxiv
  4. “A novel transformer-based software fault prediction using Syntactic Tree and Word Embedding”, Minor Revision in Neural Computing and Applications
  5. “LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning”, Submitted in 2025, Arxiv
  6. “Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes”, Submitted in 2025 Arxiv
  7. Minh N. H. Nguyen et. al “A Hybrid Learning-Based Approach with Metadata Analysis to Credibility Classification of Web Domains in Vietnam”, Submitted in 2025
  8. Minh N. H. Nguyen et. al “Whisper based Cross-Lingual Phoneme Recognition between Vietnamese and English”, in Proceedings of CITA 2025 (indexed by Scopus)
  9. Minh N. H. Nguyen et. al “Self-supervised Colorization Driven Two-Stage Coffee Leaf Disease Detection”, in Proceedings of CITA 2025 (indexed by Scopus)
  10. Nguyen Q. Vuong, Le T.P. Quy, Pham V. Nam, Ton T. Ron, Phung A. Sang, Truong T.Q. Dung, Nguyen N.X. Quynh, and Nguyen Huu Nhat Minh “A Comparative Study on Domain and Content-Based Approaches for Abusive Website Detection”, in Proceedings of CITA 2025 (indexed by Scopus)

2024

  1. Huy Q. Le, Minh N. H. Nguyen, Shashi Raj Pandey, Chaoning Zhang, Choong Seon Hong. “CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning,” Engineering Applications of Artificial Intelligence, Volume 133, Part B, 2024, Arxiv, Paper
  2. Nguyen, Loc X., Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, and Choong Seon Hong. “Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity”, IEEE Transactions on Vehicular Technology, vol. 73, no. 6, pp. 8957-8972, June 2024, Arxiv, IEEE
  3. Huynh Thi Thanh Binh, Nguyen Thi Hanh, Nguyen Phuc Tan, La Van Quan, Dang The Ngoc, Nguyen Huu Nhat Minh, Huynh Cong Phap, “A heuristic node placement strategy for extending network lifetime and ensuring target coverage in mobile wireless sensor networks”, Evolutionary Intelligence, April 2024, Link
  4. Huy Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, and Choong Seon Hong. “FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning”, Accepted in Neural Networks, Dec. 2024,Link, Arxiv
  5. “Hybrid Data-Centric and Model-Centric Approach for Robustness Single-Lead ECG Obstructive Sleep Apnea Diagnosis”, Submitted in 2024
  6. “Class Label Conditioning Diffusion Model for Robust Brain Tumor MRI Synthesis”, Submitted in 2024, TechRxiv
  7. Trung Le, Vinh Nguyen, Hung Phan, and Minh Nguyen. “Multi-Task Learning Model for Detecting and Filtering Internet Violent Images for Children”, in CITA Special issue of Research and Development on Information and Communication Technology, Vietnam, 18-24, Jun. 2024, Link
  8. Doan Nguyen, Anh Tran, Nam Vo, Tien Nguyen, Tuyen Le, Vuong Nguyen, and Minh Nguyen. “DaNangVMD: Vietnamese Speech Mispronunciation Detection”, in CITA Special issue of Research and Development on Information and Communication Technology, Vietnam, 49-55, Jun. 2024, Link
  9. Nguyen Ket Doan, Nguyen Tran Tien, Nguyen Duc Bao, Ton That Ron, Vo Van Nam, Pham Van Nam, Phung Anh Sang, Huynh Cong Phap, Nguyen Huu Nhat Minh. “DaNangNLP Toolkit for Vietnamese Text Preprocessing and Word Segmentation”, in Proceedings of CITA 2024
  10. Bui Huy Trinh, Phan Le Viet Hung, Le Kim Hoang Trung, Nguyen Huu Nhat Minh. “Identify Problems of Electrical Insulators using Multi-Task Learning”, in Proceedings of CITA 2024
  11. Minh N. H. Nguyen et. al “A Hybrid Learning of Lexical and Language Processing for Domain Credibility Classification”, in Proceedings of ATC 2024

2023

  1. Thwal Chu Myaet, Minh N. H. Nguyen, Ye Lin Tun, Seong Tae Kim, My T. Thai, and Choong Seon Hong. “OnDev-LCT: On-Device Lightweight Convolutional Transformers Towards Federated Learning.” Neural Networks, Volume 170, Pages 635-649, Feb. 2024, Paper, SSRN
  2. Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, and Choong Seon Hong, “Contrastive Encoder Pre-Training Based Clustered Federated Learning for Heterogeneous Data”, Neural Networks, Volume 165, Pages 689-704, Aug. 2023, Paper, SSRN
  3. Nguyen Huu Nhat Minh, Nguyen Ket Doan, Pham Quoc Huy, Kieu Xuan Loc, Hoang Nguyen Vu, Huy Nguyen, Huynh Cong Phap, “Information Technology Skills Extractor for Job Descriptions in vku-ITSkills Dataset using Natural Language Processing”, in Proceeding of CITA 2023, Lecture Notes in Networks and Systems, vol 734. Springer, July, Danang 2023, Paper
  4. “DaNangVSR: Two-stage Speech Recognition for Vietnamese Mispronunciation Detection”, The 10th International Workshop on Vietnamese Language and Speech Processing (VLSP 2023), Hanoi 2023

2022

  1. Minh N. H. Nguyen, Shashi Raj Pandey, Tri Nguyen Dang, Eui-Nam Huh, Nguyen H. Tran, Walid Saad, Choong Seon Hong, “Self-organizing democratized learning: Towards large-scale distributed learning systems,” in IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 12, pp. 10698-10710, Dec. 2023. Arxiv, IEEE
  2. Binh Nguyen Thanh, Minh Nguyen N. H., Hanh Le Thi My, and Binh Nguyen Thanh. 2022. Ml-Codesmell: A code smell prediction dataset for machine learning approaches. In Proceedings of the 11th International Symposium on Information and Communication Technology (SoICT ‘22), Hanoi, Vietnam, 368–374. https://doi.org/10.1145/3568562.3568643

2021

  1. Minh N. H. Nguyen, Nguyen H. Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong, “Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks,” in IEEE Transactions on Mobile Computing, vol. 22, no. 1, pp. 541-555, 1 Jan. 2023, DOI: 10.1109/TMC.2021.3085979. Arxiv, IEEE
  2. Le, Tra Huong Thi, Nguyen H. Tran, Yan Kyaw Tun, Minh N. H. Nguyen, Shashi Raj Pandey, Zhu Han, and Choong Seon Hong. “An Incentive Mechanism for Federated Learning in Wireless Cellular Network: An Auction Approach.” IEEE Transactions on Wireless Communications, vol. 20, no. 8, pp. 4874-4887, Aug. 2021, DOI: 10.1109/TWC.2021.3062708. Arxiv, IEEE
  3. Shashi Raj Pandey, Minh N. H. Nguyen, Tri Nguyen Dang, Kyi Thar, Nguyen H. Tran, Zhu Han, Choong Seon Hong, “Edge-assisted Democratized Learning Towards Federated Analytics,” IEEE Internet of Things Journal, vol. 9, no. 1, pp. 572-588, 1 Jan.1, 2022, DOI: 10.1109/JIOT.2021.3085429. Arxiv, IEEE
  4. Huy Q. Le, J. H. Shin, Minh N. H. Nguyen and C. S. Hong, “Distilling Knowledge in Federated Learning,” 2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS), 2021, pp. 196-201, (Conference)

2020

  1. Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen H. Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong, “Distributed and Democratized Learning: Philosophy and Research Challenges,” IEEE Computational Intelligence Magazine 16.1 (2021): 49-62. (DOI: 10.1109/MCI.2020.3039068) Arxiv, IEEE
  2. Minh N. H. Nguyen, Chit Wutyee Zaw, Kitae Kim, Nguyen H. Tran, Choong Seon Hong, “Let’s Share the Resource When We’re Co-Located: Colocation Edge Computing,” IEEE Transactions on Vehicular Technology, Vol.69, Issue 5, pp.5618-5633, May 2020. (DOI: 10.1109/TVT.2020.2982679). IEEE
  3. Canh Dinh, Nguyen H. Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Zomaya, Vincent Gramoli, “Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation,” IEEE/ACM Transactions on Networking, vol. 29, no. 1, pp. 398–409, Feb. 2021, DOI: 10.1109/TNET.2020.3035770. Arxiv, IEEE
  4. Latif U. Khan, Nguyen H. Tran, Shashi Raj Pandey, Walid Saad, Zhu Han, Minh N. H. Nguyen, Choong Seon Hong, “Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism,” IEEE Communications Magazine, Vol.58, Issue 10, pp. 88-93, Oct. 2020, DOI: 10.1109/MCOM.001.1900649. Arxiv, IEEE

2019

  1. Minh N. H. Nguyen et al. “Joint User Association and Server Scaling in Multi-access Edge Computing,” 20th Asia-Pacific Network Operations and Management Symposium (APNOMS), Japan, 2019. (Conference)
  2. Nguyen H. Tran, Wei Bao, Albert Zomaya, Minh N. H. Nguyen and Choong Seon Hong, “Federated Learning over Wireless Networks: Optimization Model Design and Analysis,” IEEE International Conference on Computer Communications (INFOCOM 2019), April 29 - May 2, 2019, Paris, France. (Conference)

2018

  1. Minh N. H. Nguyen, Nguyen H. Tran, Mohammad A. Islam, Chuan Pham, Shaolei Ren, Choong Seon Hong, “Fair Sharing of Backup Power Supply in Multi-Operator Wireless Cellular Towers,” IEEE Transactions on Wireless Communications, Vol.17, No.3, pp. 2080-2093, March 2018. (DOI: 10.1109/TWC.2017.2789195). IEEE
  2. Nguyen H. Tran, Chuan Pham, Minh N.H. Nguyen, Shaolei Ren, Choong Seon Hong, “Incentivizing Energy Reduction for Emergency Demand Response in Multi-Tenant Mixed-Use Buildings,” IEEE Transactions on Smart Grid, Vol.9, No.4, pp.3701- 3715, July 2018, DOI: 10.1109/TSG.2016.2639033. IEEE
  3. Phuong Luu Vo, Minh N. H. Nguyen, Tuan Anh Le, Nguyen H. Tran, “Slicing the Edge: Resource Allocation for RAN Network Slicing,” IEEE Wireless Communications Letters, Vol.7, No.6, 970-973, May 2018, DOI: 10.1109/LWC.2018.2842189. IEEE
  4. Minh N. H. Nguyen, Nguyen H. Tran, Mohammad A. Islam, Chuan Pham, Shaolei Ren, and Choong Seon Hong, “Multi-Operator Backup Power Sharing in Wireless Base Stations”, IEEE/IFIF Network Operations and Management Symposium (NOMS 2018), April. 23-27, 2018, Taipei, Taiwan. Conference

2016-2017

  1. Minh N. H. Nguyen, et al. “Outliers detection and correction for cooperative distributed online learning in Wireless sensor network.” 2017 International Conference on Information Networking (ICOIN). IEEE, 2017. Conference
  2. Minh N. H. Nguyen, et al. “Online learning-based clustering approach for news recommendation systems.” 2016 18TH Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2016. Conference
  3. Minh N. H. Nguyen, Chuan Pham, and Choong Seon Hong “Cooperative Detection of Moving Source Signals in Sensor Networks,” Journal of Korean Institute of Information Scientists and Engineers (JOK), 2017 Link