JST — Smart Systems and Devices is an Open Access, 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.

JST — 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, Bach Khoa Publishing House for the printed version, 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

1.44 days
Time to first decision
4.15 authors
Average number of authors per article
74.53 days
Submission to acceptance
16.67 days
Acceptance to publication

Vol. 36 No. 190 (2026): Journal of Science and Technology - Smart Systems and Devices (5/2026)

Date Published: 15/05/2026

Table of Contents

Research article

An Enhanced Multi-Stream Spatial Modulation Scheme for High-Rate MIMO Systems
Minh-Tuan Le, Trung-Hieu Nguyen
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Page: 001-010
An FPGA-Based SoC Implementation of the CRYSTALS-Dilithium Post-Quantum Digital Signature Scheme
Tuan-Anh Dang, Nhu-Quynh Luc
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Page: 011-018
Blockchain-Enhanced Chain of Custody with Deep Learning Tampering Detection for Digital Forensics
Xuan Hung Truong, The Dung Luong, Anh Tu Tran
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Page: 019-028
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