Nguyen Huu Nhat Minh

Nguyen Huu Nhat Minh

I 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 challenges in future multi-domain complex systems. Throughout this journey, I keep challenging myself with an open mind and exploring many new domains to broaden my limited understanding.

Education

Working Experience

Skills

Selected Publications

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, 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”, Accepted in IEEE Transactions on Vehicular Technology, 2024, Arxiv, IEEE
  3. “A heuristic node placement strategy for extending network lifetime and ensuring target coverage in mobile wireless sensor networks”, Accepted in Evolutionary Intelligence, 2024, Link
  4. “FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning”, Major Revision in Neural Networks, 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. “A novel transformer-based software fault prediction using Syntactic Tree and Word Embedding”, Major Revision in Neural Computing and Applications
  8. “A Review of Handling Imbalanced Data using Generative Adversarial Networks for Machine Learning Based Software Fault Detection”, Submitted in 2024
  9. “LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning”, Submitted in 2024, [Arxiv] (https://arxiv.org/abs/2401.11647)
  10. “Cross-Modal Prototype based Multimodal Federated Learning under Severe Missing Modality”, Submitted in 2024 Arxiv

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