Mr. Nuushuun Archie Gboe | Natural Fibers | Research Excellence Award Published on 30/04/2026 by Fiber-Reinforced Polymer After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 7538 Register Here
Assoc. Prof. Dr. Anca Daniela Raiciu | Pharmacognosy | Research Excellence Award Published on 20/04/202620/04/2026 by Fiber-Reinforced Polymer After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 7529 Register Here
Prof. Gang Sun | Phase Transition | Research Excellence Award Published on 10/04/202610/04/2026 by Fiber-Reinforced Polymer Prof. Gang Sun | Phase Transition | Research Excellence Award Beijing Normal University | China Prof. Gang Sun is a distinguished physicist specializing in thermodynamics and statistical physics, with a strong focus on phase transitions, crystallization mechanisms, liquid-liquid transitions, and glass dynamics across different dimensions. His research integrates advanced computational methods, including molecular dynamics and Monte Carlo simulations, to uncover critical phenomena in complex materials and confined systems. He has made significant contributions to understanding water anomalies, nucleation processes, and amorphous solidification, with publications in leading journals such as Nature Materials and Physical Review Letters. His scholarly impact is reflected in Scopus metrics with 386 citations across 29 documents and an h-index of 11. Additionally, Google Scholar records 470 citations with an h-index of 12 and i10-index of 16, highlighting his strong and growing academic influence. Citation Metrics (Scopus) 500 400 300 200 100 0 Citations 386 Documents 29 h-index 11 ■ Citations ■ Documents ■ h-index View Scopus Profile View ORCID Profile View Google Scholar Profile Featured Publications Competing hydrogen-bond orders drive water’s anomalous surface tension – Nature Communications, 2026 The secret role of water’s structure near surfaces in ice formation – Journal of Colloid and Interface Science, 2025 Surface-induced water crystallisation driven by precursors formed in negative pressure regions – Nature Communications, 2024 Unraveling thermodynamic anomalies of water: A molecular simulation approach to probe the two-state theory with atomistic and coarse-grained water models – Journal of Chemical Physics, 2024 The mechanism of the ultrafast crystal growth of pure metals from their melts – Nature Materials, 2018
Dr. Yang Song | Fault Diagnosis | Research Excellence Award Published on 10/04/202610/04/2026 by Fiber-Reinforced Polymer Dr. Yang Song | Fault Diagnosis | Research Excellence Award Lecturer | Beijing University of Civil Engineering and Architecture | China Dr. Yang Song is a researcher in intelligent systems and control engineering, specializing in fault diagnosis, data-driven methods, and reliability analysis for complex dynamic systems. Her work focuses on parity space techniques, machine learning integration, and advanced fault detection and isolation strategies applied to engineering systems such as gas regulators and autonomous technologies. She has contributed significantly to both theoretical advancements and practical implementations in control systems and automation. Her scholarly impact is reflected in Scopus metrics with 247 citations across 15 documents and an h-index of 5, alongside growing recognition on Google Scholar through increasing citations and research visibility in intelligent fault diagnosis and control engineering domains. Citation Metrics (Scopus) 400 300 200 100 0 Citations 247 Documents 15 h-index 5 ■ Citations ■ Documents ■ h-index View Scopus Profile View ORCID Profile Featured Publications A Hybrid VMD-Transformer-BiLSTM Framework with Cross-Attention Fusion for Aileron Fault Diagnosis in UAVs – Sensors, 2026 Design and Optimization of Improved Double Stator Cylindrical Linear Oscillating Generator with Curved Tooth Structure – Applied Sciences, 2026 Data-Driven Quantitative Evaluation of Fault Diagnosability: Integrating Distance and Direction Similarity Metrics – IEEE Access, 2024 Event-Triggered Parity Space Approach to Fault Detection for Linear Discrete-Time Systems – IEEE TSMC, 2022 A Fault Detection Method for Gas Pressure Regulators Based on Improved Dynamic Canonical Correlation Analysis – Automatica, 2015