Hajara Akhter | Nanomaterials | Young Researcher Award Published on 03/02/2026 by Metallurgical Engineering After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2775 Register Here
Emre Altas | Materials Science | Materials Science Achievement Award Published on 03/02/202603/02/2026 by Metallurgical Engineering After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2780 Register Here
Abel Cherouat | 3D Printing | Research Excellence Award Published on 31/01/2026 by Metallurgical Engineering After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2774 Register Here
Nabel Negm | Water Treatment | Research Excellence Award Published on 30/01/2026 by Metallurgical Engineering After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2767 Register Here
Gunawan Gunawan | Semiconductor Materials | Research Excellence Award Published on 30/01/202630/01/2026 by Metallurgical Engineering After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2773 Register Here
Dipti Ranjan Sahu | Nanotechnology | Research Excellence Award Published on 28/01/202628/01/2026 by Metallurgical Engineering After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2772 Register Here
Ruiwei Liu | Origami Mechanism | Research Excellence Award Published on 28/01/2026 by Metallurgical Engineering After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2768 Register Here
Chun Wei Huang | Digital Twin | Research Excellence Award Published on 27/01/2026 by Metallurgical Engineering Assist. Prof. Dr. Chun Wei Huang | Digital Twin | Research Excellence Award Assistant Professor at Feng Chia University | Taiwan Assist. Prof. Dr. Chun Wei Huang is a strong candidate for the Research Excellence Award due to his influential research in power electronics, smart grids, and intelligent power system control. His work integrates control theory, artificial intelligence, decentralized optimization, and multi-agent systems to enhance power system operation, monitoring, and renewable energy integration. He has made notable contributions toward low-carbon electricity systems and the effective coordination of distributed energy resources. According to his Scopus profile, he has authored 105 documents, received 4,099 citations, and holds an h-index of 30, demonstrating high research impact, sustained productivity, and international scholarly recognition. Citation Metrics (Scopus) 4200 3000 2000 1000 0 Citations 4,099 Documents 105 h-index 30 View Scopus Profile View ORCID Profile View Google Scholar Profile Featured Publications High Mobility MoS₂ Transistor with Low Schottky Barrier Contact by Using Atomic-Thick h-BN as a Tunneling Layer – Advanced Materials, 2016 · 612 citations Dynamic Evolution of Conducting Nanofilament in Resistive Switching Memories – Nano Letters, 2013 · 447 citations Copper-on-Nitride Enhances the Stable Electrosynthesis of Multi-Carbon Products from CO₂ – Nature Communications, 2018 · 433 citations Switching Kinetic of VCM-Based Memristor: Evolution and Positioning of Nanofilament – Advanced Materials, 2015 · 251 citations Flexible Ferroelectric Element Based on van der Waals Heteroepitaxy – Science Advances, 2017 · 244 citations
Assist. Prof. Dr. Chun Wei Huang is a strong candidate for the Research Excellence Award due to his influential research in power electronics, smart grids, and intelligent power system control. His work integrates control theory, artificial intelligence, decentralized optimization, and multi-agent systems to enhance power system operation, monitoring, and renewable energy integration. He has made notable contributions toward low-carbon electricity systems and the effective coordination of distributed energy resources. According to his Scopus profile, he has authored 105 documents, received 4,099 citations, and holds an h-index of 30, demonstrating high research impact, sustained productivity, and international scholarly recognition.
Yafeng Qi | Mechanical Engineering | Research Excellence Award Published on 27/01/2026 by Metallurgical Engineering Dr. Yafeng Qi | Mechanical Engineering | Research Excellence Award Associate Professor at Xidian University | China Dr. Yafeng Qi is a strong candidate for the Research Excellence Award due to his impactful research in nanostructured materials and metallurgical engineering. His work bridges mechanical engineering, molecular dynamics simulations, and AI-driven Raman spectroscopy to reveal atomic-scale mechanisms in advanced material systems. A key contribution includes elucidating the lubrication enhancement mechanism of SnNb₂O₆ nanoparticle additives, supporting experimental results that achieved a 78.9% reduction in wear rate. His research combines theoretical rigor with practical relevance. As reflected in his Scopus profile, he has 231 citations, 7 indexed publications, and an h-index of 5, demonstrating credible and growing scholarly impact. Citation Metrics (Scopus) 300 200 100 50 0 Citations 231 Documents 7 h-index 5 View Scopus Profile View ORCID Profile View ResearchGate Profile Featured Publications Recent Application of Raman Spectroscopy in Tumor Diagnosis: From Conventional Methods to Artificial Intelligence Fusion – Article, July 2023 High-Precision Intelligent Cancer Diagnosis Method: 2D Raman Figures Combined with Deep Learning – Article, March 2022 Highly Accurate Diagnosis of Lung Adenocarcinoma and Squamous Cell Carcinoma Tissues by Deep Learning – Article, September 2021 Accurate Diagnosis of Lung Tissues for 2D Raman Spectrogram by Deep Learning Based on Short-Time Fourier Transform – Article, July 2021 Research Progress on Application of Raman Spectroscopy in Tumor Diagnosis – Article, November 2020
Dr. Yafeng Qi is a strong candidate for the Research Excellence Award due to his impactful research in nanostructured materials and metallurgical engineering. His work bridges mechanical engineering, molecular dynamics simulations, and AI-driven Raman spectroscopy to reveal atomic-scale mechanisms in advanced material systems. A key contribution includes elucidating the lubrication enhancement mechanism of SnNb₂O₆ nanoparticle additives, supporting experimental results that achieved a 78.9% reduction in wear rate. His research combines theoretical rigor with practical relevance. As reflected in his Scopus profile, he has 231 citations, 7 indexed publications, and an h-index of 5, demonstrating credible and growing scholarly impact.
Giuseppe Ciaburro | Acoustics Metamaterials | Research Excellence Award Published on 27/01/202627/01/2026 by Metallurgical Engineering Assoc. Prof. Dr. Giuseppe Ciaburro | Acoustics Metamaterials | Research Excellence Award Associate Professor at School of Engineering and Informatics, Pegaso Univerity | Italy Assoc. Prof. Dr. Giuseppe Ciaburro demonstrates outstanding research excellence through influential contributions in acoustic engineering, sustainable materials, metamaterials, and data-driven modeling. His work integrates machine learning with experimental and numerical approaches to advance sound absorption systems, recycled composite materials, and smart engineering applications. He has published 106 Scopus-indexed documents, receiving 1,788 citations with an h-index of 23, reflecting strong academic impact and consistency. His peer-reviewed publications in high-quality international journals and scholarly books address real-world challenges in environmental acoustics, material optimization, and intelligent systems, establishing him as a globally recognized researcher whose outputs strongly align with the standards of a Research Excellence Award. Citation Metrics (Scopus) 1800 1500 500 100 0 Citations 1,788 Documents 106 h-index 23 View Scopus Profile View ORCID Profile View Google Scholar Profile Featured Publications Neural Networks with R – Packt Publishing, 2017 · 357 citations Fault Diagnosis for UAV Blades Using Artificial Neural Network – Robotics, 2019 · 207 citations Machine-Learning-Based Methods for Acoustic Emission Testing: A Review – Applied Sciences, 2022 · 129 citations MATLAB for Machine Learning – Packt Publishing, 2017 · 99 citations Improving Smart Cities Safety Using Sound Events Detection Based on Deep Neural Network Algorithms – Informatics, 2020 · 95 citations
Assoc. Prof. Dr. Giuseppe Ciaburro demonstrates outstanding research excellence through influential contributions in acoustic engineering, sustainable materials, metamaterials, and data-driven modeling. His work integrates machine learning with experimental and numerical approaches to advance sound absorption systems, recycled composite materials, and smart engineering applications. He has published 106 Scopus-indexed documents, receiving 1,788 citations with an h-index of 23, reflecting strong academic impact and consistency. His peer-reviewed publications in high-quality international journals and scholarly books address real-world challenges in environmental acoustics, material optimization, and intelligent systems, establishing him as a globally recognized researcher whose outputs strongly align with the standards of a Research Excellence Award.