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HANOI UNIVERSITY OF SCIENCE AND TECHNOLOGY
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HomeMaster. Nguyễn Đức Thuận
Nguyễn Đức Thuận
Personal Information
Master
School of Electrical – Electronics
Advanced Instrumentation for Diagnosis and Predict Lab
thuan.nguyenduc1@hust.edu.vn
C7-420, Hanoi University of Science and Technology, Hanoi
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Dr. Nguyen Duc Thuan graduated with a Bachelor's and Master's degree in Control and Automation Engineering from Hanoi University of Science and Technology in 2023, and received his PhD in Artificial Intelligence and Computer Engineering from Ulsan University (South Korea) in 2026. Since 2023, he has been a lecturer at the School of Electrical and Electronics Engineering, Hanoi University of Science and Technology. Dr. Nguyen Duc Thuan's research focuses on intelligent sensor-measurement systems based on acoustic radiation, thermal radiation, and vibration; embedded systems and IoT; signal processing and AI for industrial systems; predictive maintenance; digital twin technology; and smart factories.


During the period 2026-2030, Dr. Thuan will focus his research on measuring and monitoring renewable energy systems (wind, solar, battery storage, hydrogen) based on advanced sensor technologies such as acoustic radiation, thermal radiation, vibration, and next-generation signal processing technologies, AI, and  Digital Twin.

Research Interests
Dr. Nguyen Duc Thuan is the Head of the Intelligent Measurement Systems (IMES) research group, aiming to research and develop technology in the field of measurement and control, focusing on new technologies to solve strategic problems in Industry 4.0/5.0.

IMES research group website link: https://imes.info.vn/
Apply to become a member of the research group here
Or contact: Phone: 0382 312 893 / Email: thuan.nguyenduc1@hust.edu.vn

Long-term research directions:
Research and design of advanced sensors and measurement systems in industry and energy;
Advanced signal processing and big data analysis in industrial measurement systems;
Application of artificial intelligence in fault diagnosis and lifespan prediction of electrical and industrial equipment;
Digital Twins of engineering systems geared towards smart manufacturing 4.0/5.0;
Non-destructive testing (NDT) based on acoustic technology and advanced methods in material and structure evaluation.
Master. Nguyễn Đức Thuận
Scientific Publications
Inspection of mixed-type wafer defects from single-defect data via adaptive synthesis and self-attention CNN
Inspection of mixed-type wafer defects from single-defect data via adaptive synthesis and self-attention CNN
Tạp chí/Proceedings:
Measurement (10.1016/j.measurement.2025.118306)
DOI:
https://www.sciencedirect.com/science/article/pii/S0263224125016653
Tác giả:
Nguyen Duc Thuan
Lĩnh vực nghiên cứu:
Công nghệ dữ liệu, AI và hệ thống thông minh, Các công nghệ thông minh trong sản xuất công nghiệp, giao thông, đô thị, Khoa học thông tin và máy tính, Điện - Điện tử
Loại công bố:
Tạp chí SCIE (Q1)
Thời gian:
11/2025
A real-time framework for early detection and severity prediction of thermal runaway in Li-ion batteries
A real-time framework for early detection and severity prediction of thermal runaway in Li-ion batteries
Tạp chí/Proceedings:
Journal of Energy Storage (10.1016/j.est.2025.118310)
DOI:
https://www.sciencedirect.com/science/article/pii/S2352152X25030233
Tác giả:
Le Anh Vu, Hoang Si Hong, Le Tri Quang, Pham Van Giang, Dang Thi Binh, Nguyen Duc Thuan, Nguyen Hai Ha
Lĩnh vực nghiên cứu:
Năng lượng và môi trường bền vững, Công nghệ dữ liệu, AI và hệ thống thông minh, Điện - Điện tử
Loại công bố:
Tạp chí SCIE (Q1)
Thời gian:
09/2025
Intellectual Property
QUY TRÌNH CHẨN ĐOÁN LỖI Ở TRỤC CHO ĐA Ổ TRỤC BẰNG TÍN HIỆU RUNG
Thời gian:08/04/2025
Tác giả:PGS. TS. Hoàng Sĩ Hồng, ThS. Nguyễn Đức Thuận
Loại:Bằng độc quyền sáng chế