List of state topics:
| TT | Topic Name | Topic code | Homeroom Leader | Decision | Year started |
| 1 | FSO/RF Hybrid Non-Terrestrial Network Towards 6G: Reliable and Intelligent Connectivity |
102.02-2025.30 | Dr. Nguyen Van Thang | 47/QD-HDQL-NAFOSTED dated 30/09/2025 | 2025 |
| 2 | Improve the efficiency of heart disease diagnosis using artificial intelligence and ECG |
Nafosted | Dr. Nguyen Minh Tuan | 55/QD-HDQL-NAFOSTED | 2024 |
| 3 | Design of non-terrestrial networks based on free-space optical communication with high data rates and energy efficiency supported by intelligent reflective surfaces and wireless energy transmission |
Nafosted | Assoc. Prof. Dr. Dang The Ngoc | 55/QD-HDQL-NAFOSTED | 2024 |
List of Ministerial-level projects:
| TT | Topic Name | Code | Host | Objectives, contents, results | Year of implementation |
| 1 | Intelligent reflective surface application improves the performance of 6G wireless optical communication system | Tel.34/25 | Assoc. Prof. Dr. Dang The Ngoc (Faculty of Telecommunications 1) |
Objective: Gradually improve the telecommunications standard system Content: – Research on the situation of world standardization related to the group of equipment within the scope of 96:2015/BTTTT. – Research and survey the current status of application and standardization needs for equipment groups within the scope of QCVN 96:2015/BTTTT. – Research related issues on technology, testing and appropriate management measures for the group of equipment within the scope of QCVN 96:2015/BTTTT. – Review of technical regulations QCVN 96:2015/BTTTT. – Formulate and complete national technical regulations on electromagnetic compatibility for short-range communication equipment. Results: – Report on the results of the project. – Draft national technical regulations on electromagnetic compatibility for short-range communication equipment from 9 KHz to 40 GHz. |
2025 |
| 2 | Research on resource allocation strategies for non-terrestrial networks based on optical communication technology over space | Tel.35/25 | Dr. Nguyen Van Thang (Faculty of Telecommunications 1) |
Objective: To gradually improve the telecommunications standard system Content: – Research on the situation of world standardization related to the group of equipment within the scope of QCVN 94:2015/BTTTT. – Research and survey the current status of application and standardization needs for equipment groups within the scope of QCVN 94:2015/BTTTT. – Research related issues on technology, testing and appropriate management measures for the group of equipment within the scope of QCVN 94:2015/BTTTT. – Review of technical regulations QCVN 94:2015/BTTTT. – Formulate and complete the national technical regulation on the National Technical Regulation on electromagnetic compatibility for ultra-wideband communication equipment. Results: – Report on the results of the project. – The draft set of national technical regulations on electromagnetic compatibility for ultra-wideband communication equipment. |
2025 |
| 3 | Research on reconfigurable intelligent surface technology (RIS) and RIS application solutions to improve 6G network performance | Tel.37/25 | Dr. Pham Anh Thu (Faculty of Telecommunications 1) |
Objective: Research on distillation machine learning technology (knowledge distillation) Content: – Research on distillation machine learning technology. – The current status of distillation machine learning technology applications in the world and Vietnam. – Proposing application solutions of distillation machine learning technology. – Proposing algorithms and deep learning models for Vietnamese speech authentication solutions. – Collect Vietnamese voice datasets from (at least) 100 people; – Research and build a Vietnamese voice authentication test system. – Test and evaluate the results. Results: – Report on the results of the project. – 01 article in an international conference/journal with a score of the State Council for Professor Title. – Testing system (software) for Vietnamese voice authentication. |
2025 |
| 4 | Research and update of technology maps in the field of telecommunications | Tel.39/25 | Dr. Pham Thuy Hien (Faculty of Telecommunications 1) |
Objective: Application of machine learning technology and IoT platform to support healthcare Content: – Research the possibility of applying machine learning and IoT technology in supporting digital healthcare. – Build an IoT solution (mobile application and IoT infrastructure (platform)) to collect and store ECG information. – Collect data. – Research machine learning techniques and build a software module for analyzing and warning anomalies based on ECG signals. – Develop and test a remote elderly health care support system capable of monitoring, analyzing and warning cardiovascular disease based on electrocardiogram (ECG) signals with acceptable accuracy (over 90%). – Testing and evaluating results. Results: – Report on project results. – 01 article in ISI/Scopus journal and 01 international scientific conference. – Solution software module. |
2025 |
| 5 | Research and build E-Lab system: a platform to provide AI/IoT as a service, remote practice application for E-Learning training system | TEL.44/25 | Dr. Bui Quang Chung (Faculty of Telecommunications 1) |
Objective: Application of emotion recognition technology and artificial intelligence Content: – Overview of emotion recognition using EEG signals – Emotion recognition survey using traditional methods and artificial intelligence methods. – Survey methods of extracting characteristics from EEG signals and methods of selecting optimal characteristics. – Survey of medical signal processing methods to improve signal quality . – Comparison and evaluation of emotion recognition methods, advantages and disadvantages of methods. – Design an emotion recognition algorithm based on EEG signals applying artificial intelligence. The proposed algorithm includes the use of deep learning to recognize emotions using optimal characteristics extracted from EEG signals. Results: – Scientific papers published in the international scientific journals ISI or Scopus. – Emotion recognition algorithm using deep learning and EEG electrical signals. – An overview report on the research provides details of the proposed contents to be implemented in the project. |
2025 |
| 6 | Research and build artificial intelligence applications for the diagnosis of blood infections | TEL.68/25 | Dr. Nguyen Minh Tuan (Faculty of Telecommunications 1) |
Objective: To develop and apply machine learning models to improve accuracy in the diagnosis of blood infections Content: – Research on the application of machine learning in the diagnosis of blood infections and data collection. – Research on genetic data processing methods. – Research on gene selection methods. – Research on machine learning methods for the diagnosis of blood infections. – Build an algorithm to diagnose blood infections. Results: – 01 specialized scientific article in the scoring list of the State Council for Professor Title. – 01 scientific article in the WoS/Scopus list. – 01 report on research results. |
2025 |
