Home » AI Researchs » Research Team » Intelligent Communication Networks

Introduction

Today, with many IoT devices and the development of Internet technologies, both wired and wireless connectivity play a crucial role in offering a wide range of services to end-users. Moreover, such communication and networking technologies have influenced individuals, institutions, governments, and industries. As a result, communication technologies have become an indispensable part of daily life. Recently, Machine Learning (ML) technologies have achieved breakthrough advances. When combined with communication technologies, the achievement in AI has created unique applications such as smart cities, self-driving cars, etc.

Our research group focuses on the study and development of high-speed, dependable, and flexible networking technologies, using theoretical and practical techniques to incorporate social, information, device, and energy factors. We study to leverage AI in enhancing and optimizing network performance. We’re also looking into solutions for analyzing and mining data collected by IoT devices. See the slides here for more detail.

Contact: Dr. Nguyen Phi Le, Email: lenp@soict.hust.edu.vn

Group website: http://icn.bkai.ai/

Research Directions

  • Network optimization: Exploiting machine learning, deep learning, reinforcement learning, meta-heurisctic techniques to optimize network performance.
  • Data mining in IoT networks: Focusing on processing, analyzing and mining data collected from IoT devices.
  • AI in networking: Applying various machine learning and deep learning techniques including graph networks, deep reinforcement learning, etc., to analyze and predict the network behavior. Leveraging AI in controlling network operations.
  • Distributed systems: Addressing different problems in distributed systems such as Synchronization, Replication and Consistency, Fault tolerance, etc.
  • New generation network: Solving problems of NGN in expanding the existing access network infrastructure into networks capable of satisfying the user’s requirements.
  • QoS-QoE: Proposing adaptive mechanisms to predict and optimize QoS/QoE in network systems.
  • Internet of Things: Addressing different issues of IoT systems such as security problems, lack of regulation, limited bandwidth, etc.

Research problems

  • Optimization problems in Wireless Rechargeable Sensor Networks: We focus on a new wireless charging paradigm that considers a variety of factors such as charging path, charging time, target coverage, and connectivity. Furthermore, our system considers various optimization goals, including minimizing the number of mobile chargers, optimizing the depot placement, and extending the network lifetime. To solve the problem, we go from theoretical modeling to applying state-of-the-art technologies. Specifically, we leverage reinforcement learning and deep reinforcement learning, fuzzy logic, genetic algorithms to propose novel charging algorithms for wireless rechargeable IoT networks.
  • Mobile air quality monitoring network: This research topic, part of the VinIF-funded Fi-Mi project (http://fi-mi.vn), presents a new mobile air quality monitoring network based on vehicle-mounted sensors. We explore various research issues, such as resource allocation, effective communication, data analysis, and data mining. The resource allocation problem is solved using optimization techniques such as reinforcement learning, fuzzy logic, and meta-heuristics. A mathematical model for opportunistic communication in mobile air quality monitoring networks is also proposed. We then leverage deep reinforcement learning for offloading data from devices to the servers. Finally, we use machine learning methodologies to calibrate the acquired data and propose deep learning models for spatiotemporal prediction problems.
  • Satellite precipitation calibration: We investigate a fascinating research problem that is how to calibrate the satellite precipitation data. Our method uses deep learning techniques to blend satellite data that is fine-grained but inaccurate with the coarse-but-accurate data from ground-based monitoring stations. We then leverage graph neural networks to model the spatial correlation between the ground-based monitoring stations. Besides, recurrent neural networks are utilized to capture the data’s temporal properties.
  • Prediction of water levels on rivers in Vietnam: This study focuses on data mining regarding river discharge and water levels in Vietnam. For hydrological research and flood prediction, forecasting river discharge and water levels have long been necessary. However, existing machine learning-based methods cope with severe flaws such as a lack of training data, noise in the obtained data, and the difficulty of altering the model’s hyper-parameters. In this research, we address at the same time these three challenges. Specifically, we apply data preprocessing techniques such as SSA to clean the data before feeding it into the forecasting models. Furthermore, we propose novel deep learning models that employ ensemble learning techniques and graph neural networks to capture both temporal and spatial correlation and extract relevant information from historical data. Furthermore, optimization techniques like metaheuristics are used to obtain the optimal hyper-parameters automatically.
  • Traffic prediction and intelligent routing: In this research, we study how to learn and predict networks’ future behavior dynamically. From that, we design algorithms to control the network operations efficiently and intelligently. Several research problems are taking into account, such as exploiting the Graph Neural Networks to capture the spatial relation of the network and then leveraging deep learning to predict the network traffic; using reinforcement learning to guide the packets; utilizing metaheuristic algorithms and linear programming to optimize the routing paths. We perform experiments on network simulators such as OMNET, NS2, and real datasets such as Brain, Abilene, and Geant.
  • Applying ML to Software-Defined Network =>  Knowledge-defined Network: Applying AI to the management of computer networks, making it to be a self-adaptive one. This means every network node will be an AI node, which is able to make decisions automatically. However, these network nodes have only a local view and a local control, hence, applying Artificial Intelligence to each network node is not trivial. For this purpose, a centralized control architecture, e.g. Software-defined Network (SDN), is a promising candidate. In this work, we decide to develop a knowledge layer on top of the SDN architecture, forming a Knowledge-defined Network.
  • Replication and consistency in heterogeneous and Distributed SDN networks: Proposing an East-West interface, called SINA, to provide the interoperability of a heterogeneous and distributed SDN network. In addition, a novel Reinforcement Learning-based consistency algorithm is introduced for an adaptive Quorum-based replication mechanism.
  • Applying Federated Learning to SDN: The learning phase of a multi-domain SDN network must address the following problems: both solutions of 1) learning separately in each domain and 2) collecting all data from different controllers and launching the training phase in a centralized server are not efficient due to the computational cost, training time, and the accuracy. That motivates us to apply Federated Learning, in which distributed SDN controllers cooperatively train a centralized learning model while do not share the training data for preserving data privacy.

Team Members

Dr. Nguyen Phi Le
Team Leader

Dr. Tran Hai Anh
Member

Assoc. Prof. Do Phan Thuan
Member

Dr. Nguyen Thanh Hung
Member

Assoc. Prof. Tran Quang Duc
Member

Projects and Solutions

[VINIF2020] Fi-Mi: A Fine-grained AI-based Mobile Air Quality Monitoring and Forecasting System

Latest Publications

Publications in 2024

  1. Vedant S. Lanjewar; Hai-Anh Tran; Truong X. Tran. Layer-Wise Adaptive Weighting for Faster Convergence in Federated Learning. Information Reuse and Integration for Data Science (IRI 2024). San Jose, CA, USA. 07/08/2024
  2. Abhinav Vij, Hai-Anh Tran, Truong X. Tran. Trustable Network Intrusion Detection System Through Wisdomnet and Uncertainty Measures. Local Computer Networks Conference (LCN). Caen, Normandy, France. 08/10/2024
  3. T. K. Lai, and I. L. Ngo. An investigation on the thermo-electrohydraulic performance of novel ECF micro-pump.. International Journal of Heat and Mass Transfer. 29/09/2024
  4. Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang. Boosting Offline Optimizers with Surrogate Sensitivity. ICML. 1-10. áo. 21/07/2024
  5. Minh Khiem Pham, Phi Le Nguyen, Viet Hung Vu, Thao Nguyen Truong, Hoa Vo-Van, Thanh Ngo-Duc. A Data-driven Approach for High Accurate Spatiotemporal Precipitation Estimation", Neural Computing and Applications Journal. Neural Computing and Applications. 6099–6118. 13/12/2023
  6. Sikandar Ali Qalati, MengMeng Jiang, Samuel Gyedu, and Emmanuel Kwaku Manu. Do Strong Innovation Capability and Environmental Turbulence Influence the Nexus Between Customer Relationship Management and Business Performance?. Business Strategy and the Environment. 02/07/2024
  7. Van Tong, Cuong Dao, Hai-Anh Tran, Truong X. Tran, Sami Souihi. Enhancing BERT-based Language Model for Multi-Label Vulnerability Detection of Smart Contract in Blockchain. Journal of Network and Systems Management. 10/05/2024
  8. T. K. Lai, K. D. Tran, and I. L. Ngo. A numerical study on the thermo-electrohydrodynamic performance of ECF micro-pumps. Sustainability and Emerging Technologies for Smart Manufacturing. 29/04/2024
  9. Duc Long Nguyen, Phi Le Nguyen, Thao Nguyen Truong. Combating Quality Distortion in Federated Learning with Collaborative Data Selection. Pacific-Asia Conference on Knowledge Discovery and Data Mining. 1-6. Taiwan. 25/04/2024
  10. Van An Le, Nam Duong Tran, Phuong Nam Nguyen, Thanh Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen, Yusheng Ji. Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting. 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2024). 205-216. Mỹ. 27/05/2024
  11. Viet Hung Vu, Duc Long Nguyen, Thanh Hung Nguyen, Nguyen Quoc Viet Hung, Phi Le Nguyen, Huynh Thanh Trung. Self-supervised air quality estimation with graph neural network assistance and attention enhancement. Neural Computing and Applications. 11171–11193. 21/02/2024
  12. Van Tong, Sami Souihi, Hai Anh Tran, Abdelhamid Mellouk. Troubleshooting Solution for Traffic Congestion Control. Journal of Network and Computer Applications. 16/06/2024
  13. JYE Tin, WW Tan, AA Bakar, MS Mahali, FF Lothai, NF Mohammad, SSA Hassan & KF Chin. A Conceptual Design of Sustainable Solar Photovoltaic (PV) Powered Corridor Lighting System with IoT Application. ICREEM 2022. 09/03/2024
  14. Son Duong, Tuan Nguyen, Nam-Thang Hoang, Van Tong, Hai-Anh Tran, Giang Nguyen, Abdelhamid Mellouk, Truong Tran. Server and Route Selection Optimization for Knowledge-defined Distributed Network Based on Gambling Theory and LSTM Neural Networks. IEEE Global Communications Conference. 04/12/2023
  15. Thanh Trung Nguyen; Minh Hai Vu; Thi Ha Ly Dinh; Phi Le Nguyen; Kien Nguyen. MuLeS: A Multi-Client Learning-Based MPQUIC Scheduler. IEEE Consumer Communications and Networking Conference, CCNC. 656-661. Las Vegas, USA. 06/01/2024
  16. Van Tong, Dong Le Van, Quynh Anh Vu, Tuan Anh Ngo, Tri Duc Phung, Van Trong Nguyen, Duc Tran. VNeSafe: Machine Learning-Assisted System for Detecting Malicious URLs and Spam Calls. JST: Smart Systems and Devices. 10-17. 14/03/2024
  17. Sikandar Ali Qalati, Domitilla Magni, and Faiza Siddiqui. Senior Management's Sustainability Commitment and Environmental Performance: Revealing the Role of Green Human Resource Management Practices.. Business Strategy and the Environment. 02/08/2024
  18. Cong-Son Duong, Hai-Anh Tran, Truong X. Tran. Continuous Select-And-Prune Incremental Learning for Encrypted Traffic Classification in Distributed SDN Networks. Local Computer Networks Conference (LCN). 08/10/2024
  19. T. K. Lai, and I. L. Ngo. A new design and optimization of VD-ECF micro-pump: Advancements in electrohydraulic performance. Physics of Fluids. 29/07/2024
  20. Van Tong, Cuong Dao, Thep Dong, Hai Anh Tran, Duc Tran and Truong X. Tran. POSTER: Multi-Block Fusion Mechanism for Multi-label Vulnerability Detection in Smart Contracts. The 19th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2024). 1955 - 1957. Singapore. 30/06/2024
  21. Huyen-Trang Le, Hai-Anh Tran, Truong X. Tran. Optimizing Edge-Cloud Server Selection: A Multi-Objective Deep Reinforcement Learning Approach. IEEE Cloud Summit 2024. 101-106. Washington D.C., USA. 27/06/2024
  22. Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen, Thanh Tam Nguyen. Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention. Information Sciences. 1-23. 06/07/2024
  23. T. K. Lai, and I. L. Ngo. An investigation on the electrohydraulic performance of novel ECF micro-pump with NACAshaped electrodes. Theoretical and Computational Fluid Dynamics. 29/02/2024
  24. Trung Thanh Nguyen, Phi Le Nguyen, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide. Zero-Shot Pill-Prescription Matching With Graph Convolutional Network and Contrastive Learning. IEEE Access. 55889 - 55904. 13/04/2024
  25. Tuan Nguyen, Hoang Ngo, Trung Pham, Nam-Thang Hoang, Van Tong, Hai-Anh Tran, Giang Nguyen, Abdelhamid Mellouk, Truong Tran. Multi Service-Oriented Routing Mechanism for Heterogeneous Multi-Domain Software-Defined Networking. IEEE Global Communications Conference. 04/12/2023
  26. Quang Huy Do, Sami Souihi, Van Tong, Hai Anh Tran, Sara Tucci-Piergiovanni. An Adaptive Sharding-based Blockchain for Network Slicing in 5G. IEEE Global Communications Conference. Kuala Lumpur, Malaysia. 04/12/2023
  27. Hai-Anh Tran, Duc Tran. FL4SDN: A Fast-Convergent Federated Learning for Distributed and Heterogeneous SDN. IEEE Intelligent Systems. 1-12. 30/08/2024

Publications in 2023

  1. Hai-Nam Nguyen, Sami Souihi, Hai-Anh Tran, Scott Fowler. A Blockchain-based SDN East/West Interface. 2022 IEEE Global Communications Conference (Globecom). Rio de Janeiro, Brazil. 04/12/2022
  2. Nam Duong Tran, Manh Cuong Dao, Thanh Hung Nguyen, Thi Ha Ly Dinh, Kien Nguyen, Phi Le Nguyen. A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems. aciids. 436–448. 29/09/2023
  3. Nguyễn Đức Ca, Phan Thị Thu, Hoàng Thị Minh Anh, Phạm Ngọc Dương, Nguyễn Hoàng Giang, Nguyễn Lệ Hằng. Nâng cao hiệu quả quản trị đại học trong bối cảnh đổi mới giáo dục tại Việt Nam. Tạp chí khoa học giáo dục Việt Nam. 14/03/2023
  4. Nam Thang Hoang, Tran Le Tuan Nguyen, Cong Son Duong, Van Tong, Hai Anh Tran. Phân loại luồng dữ liệu dựa trên học chuyển giao đa nguồn trong hệ thống mạng SDN phân tán. Journal of Science and Technology on Information security. 11/10/2023
  5. Quang Ha Pham, Nang Hung Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Phi Le Nguyen, Truong Thao Nguyen. SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning. CANDAR. 1-8. nagoya. 28/11/2023
  6. Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do. FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training. IEEE Transactions on Network and Service Management. 1-20. 01/09/2023
  7. Anh Duy Nguyen, Thu Hang Phung, Thuy Dung Nguyen, Huy Hieu Pham, Kien Nguyen, Phi Le Nguyen. GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices. Engineering Applications of Artificial Intelligence. 1-30. 09/11/2023
  8. Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen. CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge Distilled Regularization. 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid). 1-9. 01/05/2023
  9. Sikandar Ali Qalati, Belem Barbosa, and Blend Ibrahim. Factors influencing employees’ eco-friendly innovation capabilities and behavior: the role of green culture and employees’ motivations. Environment, Development and Sustainability. 02/10/2023
  10. Hoang Quan Pham, Manh Cuong Pham, Thanh Hung Nguyen, Phi Le Nguyen, Van Chien Trinh. A Q-Learning-based Energy Efficiency Optimization in LoRa Networks. soict 2023. 312–318. tphcm. 08/12/2023
  11. Huyen Ha, Duc Tran, Dukyun Kim. Black-Box Adversarial Attacks Against Language Model Detector. Proceedings of the 12th International Symposium on Information and Communication Technology. 754 - 760. TP HCM. 06/12/2023
  12. Cuong Dao, Van Tong, Nam-Thang Hoang, Hai-Anh Tran, Truong X. Tran. Enhancing Encrypted Traffc Classifcation with Deep Adaptation Networks. IEEE Conference on Local Computer Networks. 08/10/2023
  13. Huynh Thanh Trung, Nguyen Minh Hieu, Nguyen Thanh Tam, Phi Le Nguyen, Weidlich Matthias, Nguyen Quoc Viet Hung, Aberer Karl. Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction. The 16th ACM International WSDM Conference 2023. 850–858. 27/02/2023
  14. Giang Nguyen, Thi Ha Ly Dinh, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen. A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices. ACIIDS, Lecture Notes in Computer Science. 74-86. 05/09/2023
  15. Tung Bui, Duc Tran, Nguyen Linh Giang, Hien Nguyen, Thanh Nguyen, Khanh Nguyen. A Machine Learning-Based Framework for Detecting Malicious HTTPS Traffic. SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology. 769-776. 07/12/2023
  16. Xuan Cuong Do, Hoang Dang Nguyen, Nhat Hai Nguyen, Thanh Hung Nguyen, Hieu Pham, Phi Le Nguyen. A Novel Approach for Extracting Key Information from Vietnamese Prescription Images. SoICT 2023. 539–545. TPHCM. 08/12/2023
  17. Sikandar Ali Qalati, Sonia Kumari, Kayhan Tajeddini, Namarta Kumari Bajaj, and Rajib Ali. Innocent devils: The varying impacts of trade, renewable energy and financial development on environmental damage: Nonlinearly exploring the disparity between developed and developing nations. Journal of Cleaner Production. 02/02/2023
  18. Minh Quang Le, Nguyen Nang Hung, Kien Nguyen, Phi Le Nguyen, Phan Thuan Do. Perpetual Sensor Networks with the Minimum Number of Mobile Chargers. Soict 2023. 282–288. tphcm. 08/12/2023
  19. Wu Qinqin, Sikandar Ali Qalati, Rana Yassir Hussain, Hira Irshad, Kayhan Tajeddini, Faiza Siddique, Thilini Chathurika Gamage. The effects of enterprises' attention to digital economy on innovation and cost control: Evidence from A-stock market of China. Journal of Innovation & Knowledge. 02/12/2023
  20. Hoang Nam Thang, Van Tong, Hai Anh Tran, Cong Son Duong, Tran le Tuan Nguyen. LSTM-based server and route selection in distributed and heterogeneous SDN Network. Journal of Computer Science and Cybernetics. 1-21. 28/02/2023
  21. Van An Le, Yusheng Ji, Huu Huy Tran, Phi Le Nguyen, John C.S. Lui. Achieving Multi-Time-Step Segment Routing via Traffic Prediction and Compressive Sensing Techniques. IEEE Transactions on Network and Service Management. 1-1. 12/11/2023
  22. Tue Cao, Nhat Tran, Le Nguyen, Hung Nguyen, Hieu Pham. IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitaion mechanism in ECG analysis. soict 2023. 578–584. tphcm. 08/12/2023
  23. Nam-Thang Hoang, Cong-Son Duong, Minh-Ngoc Vu, Huy-Hieu Nguyen, Truong X. Tran, Van Tong, Hai-Anh Tran. A New Transfer Learning-Based Traffic Classification Algorithm for a Multi-Domain SDN Network. International Symposium On Information and Communication Technology (SOICT). 07/12/2023
  24. Quang Viet Ly, Ngoc Anh Tong, Bo-Mi Lee, Minh Hieu Nguyen, Huynh Thanh Trung, Phi Le Nguyen, Thu-Huong T. Hoang, Yuhoon Hwang, Jin Hur. Improving algal bloom detection using spectroscopic analysis and machine learning: A case study in a large artificial reservoir, South Korea. Science of the Total Environment. 166467 (1-14). 01/08/2023
  25. Thanh Trung Nguyen, Minh Hai Vu, Phi Le Nguyen, Phan Thuan Do, Kien Nguyen. A Q-learning-based Multipath Scheduler for Data Transmission Optimization in Heterogeneous Wireless Networks. IEEE Consumer Communications & Networking Conference (CCNC 2022). 1-6. 08/01/2023
  26. Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Thao Nguyen Truong, Phi Le Nguyen. High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion. plos one. 1-20. 07/09/2023
  27. Thuy Dung Nguyen, Anh Duy Nguyen, Thanh-Hung Nguyen, Kok-Seng Wong; Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen. FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. 2023 International Joint Conference on Neural Networks (IJCNN). 1-8. Australia. 18/06/2023
  28. Sikandar Ali Qalati , Belem Barbosa & Shuja Iqbal. The effect of firms’ environmentally sustainable practices on economic performance. Economic. Economic Research-Ekonomska Istraživanja. 02/06/2023
  29. Son Duong, Tuan Nguyen, Nam-Thang Hoang, Van Tong, Hai-Anh Tran, Giang Nguyen, Abdelhamid Mellouk, Truong Tran. Server and Route Selection Optimization for Knowledge-defined Distributed Network Based on Gambling Theory and LSTM Neural Networks. IEEE Global Communications Conference. Kuala Lumpur, Malaysia. 04/12/2023
  30. Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa D. Doan, Kok-Seng Wong. Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions. Engineering Applications of Artificial Intelligence. 1-20. 04/09/2023
  31. Nguyen Thanh Long, Tran Thi Huong, Nguyen Ngoc Bao, Huynh Thi Thanh Binh, Phi Le Nguyen, Kien Nguyen. Q-learning-based Distributed Multi-Charging Algorithm for Large-scale WRSNs. Nonlinear Theory and Its Applications, IEICE. 18–34. 01/01/2023
  32. Tuan Nguyen, Hoang Ngo, Trung Pham, Nam-Thang Hoang, Van Tong, Hai-Anh Tran, Giang Nguyen, Abdelhamid Mellouk, Truong Tran. Multi Service-Oriented Routing Mechanism for Heterogeneous Multi-Domain Software-Defined Networking. IEEE Global Communications Conference. Kuala Lumpur, Malaysia. 04/12/2023
  33. Hoang Dang Nguyen, Dinh Nguyen Vu, Viet Anh Nguyen, Tien Dong Nguyen, Phi Le Nguyen. A Robust Document Localization Solution with Segmentation and Clustering. he 36th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2023). 1-9. 01/02/2023
  34. Quang Huy Do, Sami Souihi, Van Tong, Hai Anh Tran, Sara Tucci-Piergiovanni. An Adaptive Sharding-based Blockchain for Network Slicing in 5G. IEEE Global Communications Conference. Kuala Lumpur. 04/12/2023
  35. Anh Duy Nguyen, Viet Hung Vu, Duc Viet Hoang, Thuy Dung Nguyen, Kien Nguyen, Phi Le Nguyen, Yusheng Ji. Attentional ensemble model for accurate discharge and water level prediction with training data enhancement. Engineering Applications of Artificial Intelligence. 1/20. 28/08/2023

Publications in 2022

  1. Anh Duy Nguyen, Phi Le Nguyen, Viet Hung Vu, Quoc Viet Pham, Viet Huy Nguyen, Minh Hieu Nguyen, Thanh Hung Nguyen, Kien Nguyen. Accurate Discharge and Water Level Forecasting Using Ensemble Learning with Genetic Algorithm and Singular Spectrum Analysis-based Denoising. Nature Scientific Reports. 01/11/2022
  2. Papa Bara, Tran-Tuan Chu, Mohamed Aymen Labiod, Brice Augustin, Hai-Anh Tran, Abdelhamid Mellouk. Experimental Evaluation of Multiple Multipath Schedulers over Various Urban Mobile Environments. The Symposium on Information and Communication Technology (SoICT). Hạ Long, Vietnam. 01/12/2022
  3. Hiroaki Motohashi, Phi Le Nguyen, Kien Nguyen, Hiroo Sekiya. Implementation of P4-based Schedulers for Multipath Communication. IEEE Access. 20/07/2022
  4. Phan Thị Thu. Những vấn đề đặt ra đối với thiết chế Hội đồng trường đại học công lập ở Việt Nam hiện nay. Kỷ yếu hội thảo khoa học trường Học viện báo chí và tuyên truyền. 14/11/2022
  5. Phan Thị Thu. Cuộc cạnh tranh của các công ty người Việt với nước ngoài trong lĩnh vực vận tải đường thuỷ ở bắc kỳ đầu thế kỉ XX và những kinh nghiệm đối với doanh nhân Việt Nam hiện nay. Kỷ yếu hội thảo quốc gia tổ chức tại trường ĐHSP Hà Nội 2. 14/12/2022
  6. Nam-Thang Hoang, Cong-Son Duong, Cong-Son Duong, Van Tong, Hai-Anh Tran. Knowledge-defned Heterogeneous Network: Use-case of QoS-based Server and Route Selection in Large-scale. SoICT 2022: The 11th International Symposium on Information and Communication Technology. 150-157. Hanoi, Vietnam. 01/12/2022
  7. Trung Thanh Nguyen, Hoang Dang Nguyen, Thanh Hung Nguyen, Huy Hieu Pham, Ichiro Ide, Phi Le Nguyen. A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning. The 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2022). 261–274. 01/12/2022
  8. Tu Nguyen, Tri Do, Khanh Le, Seungkyu Go, Sunghyun Na, Dukyun Kim, Duc Tran. An LSTM-based approach for Predicting Resource Utilization in Cloud Computing. International Symposium on Information and Communication Technology. Hà Nội - Hạ Long. 01/12/2022
  9. Đào Vũ Hiệp, Mạc Đình Hiếu, Trần Quang Đức. Noise-aware deep learning algorithm for one-stage multispectral pedestrian detection. Journal of Electronic Imaging. 1-14. 24/05/2022
  10. Tran-Tuan Chu, Mohamed-Aymen Labiod, Hai-Anh Tran, Abdelhamid MELLOUK. GADaM: Generic Adaptive Deep-learning-based Multipath Scheduler Selector. IEEE International Conference on Communications (ICC) 2022. 16/05/2022
  11. Trong-Tung Nguyen, Hieu H. Pham, Phi Le Nguyen, Thanh Hung Nguyen, and Minh Do. Multi-stream Fusion for Class Incremental Learning in Pill Image Classification. The 16th Asian Conference on Computer Vision (ACCV2022). 04/12/2022
  12. Anh Duy Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Phi Le Nguyen. Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance. 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS), 2022. 1-9. 28/11/2022
  13. Kien Nguyen, Phi Le Nguyen, Hiroo Sekiya. A Host-based Investigation of IPv6 in Academia: The Cases of Japan and Vietnam. Kien Nguyen, Phi Le Nguyen, Hiroo Sekiya. 08/01/2022
  14. Thanh Toan Nguyen, Thanh Tam Nguyen, Thanh Trung Huynh, Viet Hung Vu, Phi Le Nguyen, Jun Jo, Quoc Viet Hung Nguyen. Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks. Transactions on Information Systems. 1-24. 19/10/2022
  15. Ngoc Bui, Phi Le Nguyen, Viet Anh Nguyen, Phan Thuan Do. A Deep Reinforcement Learning-based Adaptive Charging Policy for WRSNs. The 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2022). 20/10/2022
  16. Hieu Dinh, Nang Hung Nguyen, Trung Thanh Nguyen,Thanh Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen. Deep Reinforcement Learning-based Offloading for Latency Minimization in 3-tier V2X Networks. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 1-6. 10/04/2022
  17. La Van Quan, Minh Hieu Nguyen, Thanh Hung Nguyen, Kien Nguyen, Phi Le Nguyen. On the Global Maximization of Network Lifetime in Wireless Rechargeable Sensor Networks. ACM Transaction on Sensor Networks. 01/01/2022
  18. Trần Hoàng Hải, Nguyễn Thanh Hùng, Nguyễn Nhất Hải, Đặng Tuấn Linh, Huỳnh Quyết Thắng. eHUST - Một mô hình mẫu cho hệ thống quản trị Nhà trường hỗ trợ Chuyển đổi số tại Việt Nam. Thúc đấy Chuyển đổi số, Kinh tế tuần hoàn và kinh tế xanh - Hướng tới mục tiêu phát triển bền vững. 18-26. Trường Đại học Phenikaa. 12/11/2022
  19. Viet Dung Nguyen, Phi Le Nguyen, Kien Nguyen, Phan Thuan Do. Constant Approximation for Opportunistic Sensing in Mobile Air Quality Monitoring System. Computer Networks Journal. 15/01/2022
  20. Sikandar Ali Qalati, Sonia Kumari, Ishfaque Ahmed Soomro, Rajib Ali, Rajib Ali, Yifan Hong, and Yifan Hong. Green Supply Chain Management and Corporate Performance Among Manufacturing Firms in Pakistan. Frontiers in Environmental Science. 02/05/2022
  21. Sikandar Ali Qalati, Zuhaib Zafar, Mingyue Fan, Mónica Lorena Sánchez Limón, Muhammad Bilawal Khaskheli. Employee performance under transformational leadership and organizational citizenship behavior: a mediated model. Heliyon. 02/11/2022
  22. Minh Hai Vu, Giang T. T. Nguyen, Hai Dang Tran, Thanh Trung Nguyen, Phan Thuan Do, Phi Le Nguyen, Kien Nguyen. An Empirical Study of MPQUIC Schedulers in Mobile Wireless Networks. SoICT2022. 193–200. 01/12/2022
  23. Hai-Anh Tran, Duc Tran, and Abdelhamid Mellouk. State-Dependent Multi-Constraint Topology Configuration for Software-Defined Service Overlay Networks. IEEE/ACM Transactions on Networking. 01/03/2022
  24. C Palanichamy, WW Tan & P Naveen. A Microgrid for the Secluded Paana Theertham Kani Settlement in India. Clean Energy. 09/02/2022
  25. Manh-Tien-Anh Nguyen, Sondes Bannour Souihi, Hai-Anh Tran, and Sami Souihi. When NLP meets SDN: an application to Global Internet eXchange Network. IEEE International Conference on Communications (ICC), 2022. 16/05/2022
  26. Hung Cuong Nguyen, Manh Cuong Dao, Thanh Trung Nguyen, Ngoc Khanh Doan, Thanh Hung Nguyen, Truong Thao Nguyen, Phi Le Nguyen. Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs. he 2022 Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), 2022. 12/10/2022
  27. Tuan Anh Nguyen Dinh, Anh Duy Nguyen, Truong Thao Nguyen, Thanh Hung Nguyen, Phi Le Nguyen. Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 1-6. 10/04/2022
  28. Duc-Huy Pham, Quang-Anh Do, Thanh Thi-Hien Duong, Thi Lan Le, Phi-Le Nguyen. End-to-end Visual-guided Audio Source Separation with Enhanced Losses. 2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). Thai Lan. 07/11/2022
  29. Sikandar Ali Qalati, Naveed Akhtar Qureshi, Dragana Ostic, Mohammed Ali Bait Ali Sulaiman. An extension of the theory of planned behavior to understand factors influencing Pakistani households’ energy-saving intentions and behavior: a mediated–moderated model. Energy Efficiency. 02/08/2022
  30. Nam-Thang Hoang, Hai-Nam Nguyen, Hai-Anh Tran, and Sami Souihi. A Novel Adaptive East–West Interface for a Heterogeneous and Distributed SDN Network. Electronics. 16/03/2022
  31. Minh Hieu Nguyen, Viet Huy Nguyen, Thanh Trung Huynh, Thanh Hung Nguyen, Quoc Viet Hung Nguyen, Phi Le Nguyen. A Lightweight and Efficient GA-based Model-Agnostic Feature Selection Scheme for Time Series Forecasting. 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS), 2022. 26–39. 09/12/2022
  32. Trung Thanh Nguyen, Truong Thao Nguyen, Thanh Hung Nguyen, Phi Le Nguyen. Fuzzy Q-learning-based Opportunistic Communication for MEC-enhanced Vehicular Crowdsensing. IEEE Transactions on Network and Service Management. 5021 - 5033. 26/07/2022
  33. Nang Hung Nguyen, Phi Le Nguyen, Duc Long Nguyen, Trung Thanh Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Truong Thao Nguyen. FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning. 51st International Conference on Parallel Processing (ICPP). 1-11. 29/08/2022
  34. Thu Hang Phung, Duc Long Nguyen, Viet Hung Vu, Thanh Trung Huynh, Thanh Hung Nguyen, Phi Le Nguyen. Unsupervised Air Quality Interpolation with Attentive Graph Neural Network. SoICT2022. 1-6. HaLong. 01/12/2022
  35. Khanh Nguyen Quoc, Tung Bui, Dong Le, Duc Tran, Toan Nguyen, Huu Trung Nguyen. Detecting DGA Botnet based on Malware Behavior Analysis. International Symposium on Information and Communication Technology. Hà Nội - Hạ Long. 01/12/2022