Advanced Data Science and Computational Intelligence

(Annual (One issue per year))

Prof. Deyu Lin is an Associate Professor in the School of Software at Nanchang University, China. He received his Ph.D. in Computer Architecture from Xidian University in 2019. During his doctoral studies, he was a Joint Ph.D. Researcher at the University of Leeds, UK, from 2017 to 2018. He subsequently held postdoctoral research positions at Shanghai Jiao Tong University, China, and Nanyang Technological University, Singapore. He has also served as a Guest Professor at Gongqing College of Nanchang University.

Since 2013, Prof. Lin has been dedicated to advancing energy-efficient technologies for Wireless Sensor Networks (WSNs), developing extensive expertise in energy sustainability, wireless communications, and intelligent networking. His current research interests include Wireless Sensor Networks (WSNs), the Internet of Things (IoT), Simultaneous Wireless Information and Power Transfer (SWIPT)-enabled communication systems, edge and fog computing, artificial intelligence, federated learning, intelligent transportation systems, and wireless communications.

Over the past decade, Prof. Lin has established a strong research record through high-quality publications in leading international journals and conferences. As of September 10, 2025, he has authored or co-authored 67 scientific publications, including 52 papers in prestigious IEEE and European journals and 8 papers in international conferences. According to Google Scholar, his research has achieved an H-index of 17, an i10-index of 27, and more than 1,225 citations. His most highly cited publication, Wang et al. (2019), which has received over 174 citations, presents significant contributions to improving the energy efficiency of WSNs through compressive sensing techniques.

Prof. Lin has successfully led several research projects funded by the National Natural Science Foundation of China (NSFC) and provincial funding agencies. In recognition of his research excellence, he was selected as a Class C Talent under the "Ganjiang Hai Zhi" Project of Jiangxi Province in 2021. He received the Second-Class Prize of the Jiangxi Provincial Scientific and Technological Progress Award in both 2021 and 2024. In 2022, he was honored with the Best Researcher Award, and in July 2025, his paper received the Best Paper Award at the 4th International Conference on Internet of Things, Communication, and Intelligent Technology (IoTCIT 2025).

In addition to his academic achievements, Prof. Lin holds the Cisco Certified Internetwork Expert (CCIE) certification, demonstrating his strong professional expertise in Internet engineering and networking technologies. His combination of scientific research excellence and practical engineering experience provides a solid foundation for developing innovative theoretical frameworks and translating them into real-world applications.

Prof. Lin is a Senior Member of the IEEE, a Member of the ACM, and a Senior Member of the China Computer Federation (CCF). His research continues to contribute to the advancement of energy-efficient wireless networks, intelligent communication systems, and next-generation IoT technologies.

• Wireless Sensor Networks (WSNs)
• Internet of Things (IoT)
• Simultaneous Wireless Information and Power Transfer (SWIPT)
• Edge Computing
• Fog Computing
• Federated Learning
• Artificial Intelligence
• Machine Learning

• Associate Professor, School of Software, Nanchang University.
• Postdoctoral Research Fellow, Nanyang Technological University, Singapore.
• Postdoctoral Researcher, Shanghai Jiao Tong University.
• Guest Professor, Gongqing College of Nanchang University.
• Principal Investigator of multiple National Natural Science Foundation of China and Jiangxi Province research projects.
• Guest Editor for Electronics, Network, and Computers, Materials & Continua.
• Reviewer for leading journals including IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Sensors Journal, IEEE Communications Magazine, IEEE Network, and ACM Transactions on Sensor Networks.
• Technical Program Committee (TPC) Member for international conferences including WCNC, Globecom, ICC, and others.
• Workshop Chair at several international conferences.
• Supervisor of Ph.D. and Master's students.
• Professional Memberships: IEEE Senior Member, ACM Member, CCF Senior Member, and CIC Member.

2026    Spatial-temporal Fuzzy Logic Driven Topological Decoupling Mechanism with Balanced Supply and Demand in Data and Energy for BSSN
2026    ECAEP: An Energy-Efficient Clustering Approach Based on Wireless Energy Provision Mechanism for the Wireless Sensor Network
2026    A Practical Framework for Secure and Traceable Federated Learning in Edge Computing Scenarios
2025    A Delay-Precision-Balanced Approach for License Plate Recognition Based on Fog Computing Paradigm
2025    S2EWSN: A Conceptual Paradigm SWIPT-Enabled Scalable Energy-Sustainable Wireless Sensor Networks
2025    An Energy-Efficient Cross-Layer Clustering Approach Based on Gini Index Theory for WSNs
2024    ESWCM: A Novel Energy-Sustainable Approach for SWIPT-Enabled WSN with Constrained MEAP Configurations
2024    TSA-EECS: A Topology-Scale-Adaptive and Energy-Efficient Clustering Scheme for Energy Sustainable Large-Scale SWIPT-Enabled WSNs
2024    Computation Offloading and Resource Allocation for Fog Computing in NG Wireless Networks: A Federated Deep Reinforcement Learning Approach
2024    A Novel Energy-Efficient Approach Based on Clustering Using Grey Prediction in WSNs for IoT Infrastructures
2024    A Framework of Flexible Real-Time Intelligent Transportation System Based on Hybrid Fog-Cloud Computing
2024    A Novel High-Precision and Low-Latency Abandoned Object Detection Method Under the Hybrid Cloud-Fog Computing Architecture
2024    DSU-GAN: A Robust Frontal Face Recognition Approach Based on Generative Adversarial Network
2024    A Novel Fall Detection Framework with Age Estimation Based on Cloud-Fog Computing Architecture
2024    A Novel Model for Fall Detection and Action Recognition Combined Lightweight 3D-CNN and Convolutional LSTM Networks
2023    CMSTR: An Energy-Efficient Routing Protocol Based on Constrained Minimum Spanning Tree for Wireless Sensor Networks
2023    Using Attention LSGB Network for Facial Expression Recognition
2023    YOLO-G Abandoned Object Detection Method Combined with Gaussian Mixture Model and GhostNet
2022    An Energy-Balanced Unequal Clustering Approach for Circular Wireless Sensor Networks
2022    An Energy-Efficiency-Adaptive Cluster Formation Approach for Wireless Sensor Networks
2021    A Social Welfare Theory-Based Energy-Efficient Cluster Head Election Scheme for WSNs
2021    An Energy-Efficient Routing Method in WSNs Based on Compressive Sensing: From the Perspective of Social Welfare
2021    Analysis and Modeling of iBeacon Wireless Signal Propagation in Multiple Environments
2020    An Energy-Saving Routing Integrated Economic Theory with Compressive Sensing to Extend the Lifespan of WSNs
2020    A Survey of the Energy Efficient Strategies in Wireless Sensor Networks
2019    An Energy-Efficient Compressive Sensing-Based Clustering Routing Protocol for WSNs
2017    A Game Theory Based Energy Efficient Clustering Routing Protocol for WSNs