Prof. Dr. Deukwon Jo | Image Processing | Research Excellence Award Published on 20/02/202620/02/2026 by AI Data Scientist After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 3079 Register Here
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Assoc. Prof. Dr. Fawaz Alharbi | Reaction Kinetics and Modeling | Research Excellence Award Published on 30/01/2026 by AI Data Scientist After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 3066 Register Here
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Shaoyang Luo | Time Series Analysis | Research Excellence Award Published on 27/01/202627/01/2026 by AI Data Scientist Dr. Shaoyang Luo | Time Series Analysis | Research Excellence Award Doctor of Philosophy in Engineering | Nanchang University | China Dr. Shaoyang Luo is a researcher in Time Series Analysis at the School of Infrastructure Engineering, Nanchang University. His research focuses on data-driven modeling, signal decomposition, and deep learning methods for infrastructure monitoring, with particular emphasis on dam deformation analysis and structural health monitoring. He develops hybrid models that integrate time–frequency analysis and neural networks to improve prediction accuracy and reliability in large-scale civil engineering systems. Citation Metrics (Scopus) 80 60 40 20 0 Citations 65 Documents 6 h-index 4 Citations Documents h-index View Scopus Profile Featured Publications Multi-point Deformation Monitoring Model of Concrete Arch Dam Based on MVMD and 3D-CNN – Applied Mathematical Modelling, 2024 Optimized Combined Forecasting Model for Hybrid Signals in the Displacement Monitoring Data of Concrete Dams – Structures, Elsevier, 2023 Hybrid Model for Concrete Dam Deformation Considering Residual Correction by Frequency Division – Structural Control and Health Monitoring, 2022
Dr. Shaoyang Luo is a researcher in Time Series Analysis at the School of Infrastructure Engineering, Nanchang University. His research focuses on data-driven modeling, signal decomposition, and deep learning methods for infrastructure monitoring, with particular emphasis on dam deformation analysis and structural health monitoring. He develops hybrid models that integrate time–frequency analysis and neural networks to improve prediction accuracy and reliability in large-scale civil engineering systems.