Academic Editor
Author
Contributions by role
Author 4
Editor 4
Jianlei Kong
School of Computer Science and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Summary
Jianlei Kong received the B.E. degree in industrial automation, the master’s degree in control theory engineering, and the Ph.D. degree in forestry engineering from Beijing Forestry University, China, in 2011, 2013, and 2016. He is currently an Associate Professor of system science with Beijing Technology and Business University. He has published a number of invention patents, software copyrights, and academic papers, including eight ESI hot papers (Top 0.1%) and 16 ESI highly cited papers (Top 1%). His research interests include time-series prediction, pattern recognition, deep learning, and blockchain traceability.
Edited Journals
IECE Contributions

Open Access | Research Article | 17 May 2025
Design and Practice of New Engineering Innovation Education for Automation Majors
IECE Transactions on Education and Learning Technologies | Volume 1, Issue 1: 1-13, 2025 | DOI: 10.62762/TELT.2025.700195
Abstract
This paper focuses on the needs of automation professional talent cultivation in the context of the construction of new engineering disciplines, and takes the course “Freshman Engineering Experience” as the research object, and carries out a systematic exploration of teaching reform in response to the problems of insufficient professional cognition and disconnection between theory and practice that exist in the current engineering education. By restructuring the curriculum system, innovating teaching methods and optimizing the practice platform, a progressive cultivation mode of “Cognition-Practice-Innovation” has been constructed. In curriculum design, the combination of professiona... More >

Graphical Abstract
Design and Practice of New Engineering Innovation Education for Automation Majors

Open Access | Research Article | 22 March 2025
A Deep-Learning Detector via Optimized YOLOv7-bw Architecture for Dense Small Remote-Sensing Targets in Harsh Food Supply Applications
Chinese Journal of Information Fusion | Volume 2, Issue 1: 38-58, 2025 | DOI: 10.62762/CJIF.2025.919344
Abstract
With the progressive advancement of remote sensing image technology, its application in the agricultural domain is becoming increasingly prevalent. Both cultivation and transportation processes can greatly benefit from utilizing remote sensing images to ensure adequate food supply. However, such images often exist in harsh environments with many gaps and dense distribution, which poses major challenges to traditional target detection methods. The frequent missed detections and inaccurate bounding boxes severely constrain the further analysis and application of remote sensing images within the agricultural sector. This study presents an enhanced version of the YOLO algorithm, specifically tai... More >

Graphical Abstract
A Deep-Learning Detector via Optimized YOLOv7-bw Architecture for Dense Small Remote-Sensing Targets in Harsh Food Supply Applications

Open Access | Editorial | 10 February 2025
Frontiers in Educational Innovation and Research: A Platform for Advancing Digitalization and Reform in Education
Frontiers in Educational Innovation and Research | Volume 1, Issue 1: 1-3, 2025 | DOI: 10.62762/FEIR.2024.626187
Abstract
Frontiers in Educational Innovation and Research (FEIR) journal marks a significant milestone in educational change and development, particularly in the context of digital transformation and technology’s pervasive impact on daily life. FEIR is dedicated to fostering a community of scholarly inquiry and innovation within the educational sector. The journal focuses on pioneering research and innovative practices that have the potential to enhance educational outcomes and experiences. By addressing challenges such as personalized learning, educational technology integration, lifelong learning, and accommodating diverse student needs, FEIR aims to provide a diverse platform for expert insight... More >

Free Access | Research Article | 10 February 2025
High-Voltage Power Supply: Design Considerations and Optimization Techniques
IECE Transactions on Sensing, Communication, and Control | Volume 2, Issue 1: 1-10, 2025 | DOI: 10.62762/TSCC.2024.741277
Abstract
The main goal of this study is to design and develop a half-bridge inverter architecture specifically for high-voltage power supply applications. An effective, small, and affordable system that converts direct current (DC) to alternating current(AC) can be built, thanks to the IR2151 chip’s dependable characteristics and performance. To get the desired output voltage, the transformer first increases the voltage and then the voltage is increased with a voltage-doubling rectifier (VDR) circuit. The study emphasizes how crucial it is to choose components carefully and simulate the circuit design and implementation process to guarantee dependable performance. The experimental results validate... More >

Graphical Abstract
High-Voltage Power Supply: Design Considerations and Optimization Techniques

Free Access | Review Article | 29 October 2024 | Cited: 5
Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination
IECE Transactions on Sensing, Communication, and Control | Volume 1, Issue 2: 72-88, 2024 | DOI: 10.62762/TSCC.2024.211408
Abstract
Collective motion has been a pivotal area of research, especially due to its substantial importance in Unmanned Aerial Vehicle (UAV) systems for several purposes, including path planning, formation control, and trajectory tracking. UAVs significantly enhance coordination, flexibility, and operational efficiency in practical applications such as search-and-rescue operations, environmental monitoring, and smart city construction. Notwithstanding the progress in UAV technology, significant problems persist, especially in attaining dependable and effective coordination in intricate, dynamic, and unexpected settings. This study offers a comprehensive examination of the fundamental principles, mod... More >

Graphical Abstract
Synergistic UAV Motion: A Comprehensive Review on Advancing Multi-Agent Coordination
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