Smart Systems and Devices is a peer-reviewed, English-language scholarly journal published three times annually—in January, May, and September. The journal highlights recent advances and original research in intelligent automation, sensor technologies, and interconnected smart systems.
Key topics of interest include smart cities, smart grids, and the Internet of Things (IoT); unmanned aerial vehicle (UAV) robotics and control; advanced materials for sensor applications; artificial intelligence (AI) and computational optimization techniques; as well as smart healthcare devices and systems.
The journal places particular emphasis on the integration of hardware, software, and communication technologies to enable intelligent decision-making and automation across diverse domains. Smart Systems and Devices aims to provide a focused platform for academic researchers, engineers, and practitioners to share innovative solutions, theoretical insights, and practical implementations that advance the state of the art in smart, interconnected technologies.
The journal is published by Hanoi University of Science and Technology, with editorial leadership provided by an international board of experts. All manuscripts submitted to the journal undergo a rigorous peer-review process to ensure high standards of scholarly quality, technical accuracy, and scientific contribution.

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Publishing timeline

N/A days
Time to first decision
4.17 persons
Average number of authors per article
61.74 days
Submission to acceptance
N/A days
Acceptance to publication

Vol. 35 No. 2 (2025)

Date Published: 15/05/2025

Research article

Optimal Design of Proportional-Differential Controller in Active Control of Suspension Systems Using the Balancing Composite Motion Optimization Algorithm
Hai-Le Bui, Thi-Thoa Mac, Van-Quyen Nguyen, Ngoc-An Tran, Tung-Anh Le, Quy-Cao Tran, Sy-Tai Nguyen
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Page: 1-8
Research on Using Model Predictive Control for the Truck Dry Friction Clutch Control during the Starting-Up Process
Van Nghia Le, Quoc Trieu Nguyen, Hoang Phuc Dam, Trong Dat Tran, Ngoc Khanh Duong
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Page: 9-16
Application of Neural Network in Predicting Optimization of Axisymmetric Boattail Angle for Drag Reduction
The Hung Tran, Cong Truong Dao, Dinh Anh Le, Trang Minh Nguyen, Cong Truong Dinh
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Page: 17-24
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