Shaoyang Luo | Time Series Analysis | Research Excellence Award

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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.

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6

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Abdul-Qader Abdul-Ghafour | Natural Language Processing | Research Excellence Award

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Assist. Prof. Dr. Abdul-Qader Abdul-Ghafour | Natural Language Processing | Research Excellence Award

Assistant Professor of Linguistics at Queen Arwa University | Yemen

Assist. Prof. Dr. Abdul-Qader Abdul-Ghafour is a researcher in Natural Language Processing (NLP) with a strong focus on computational linguistics, translation studies, and Qur’anic discourse analysis. His work integrates AI-based language models with linguistic theory to address semantic ambiguity, synonymy, and pragmatics in Arabic–English translation. He has contributed extensively to machine-assisted translation, discourse analysis, and NLP applications for low-resource languages, with particular emphasis on Arabic. His research supports improving translation accuracy, semantic interpretation, and AI-driven language understanding in both academic and applied contexts.

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Citations
170

h-index
7

i10-index
6


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Emelina Stambolliu | AI in Healthcare | Excellence in Research Award

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Dr. Emelina Stambolliu | AI in Healthcare | Excellence in Research Award

Supervising physician | Hippokration General Hopsital of Athens,Greece | Greece

Dr. Emelina Stambolliu is a clinician-researcher at Hippokration General Hospital of Athens whose work focuses on hypertension, kidney disease, and cardiovascular risk, with growing integration of AI-driven analysis in healthcare. Her research emphasizes advanced blood pressure monitoring (office, home, ambulatory), early detection of target-organ damage, and cardiorenal interactions across pediatric and adult populations. She has contributed extensively to evidence-based clinical decision support, systematic reviews, and validation of medical monitoring devices, supporting precision medicine and data-informed patient care


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Anas Rao | Data-Driven Decision Making | Best Researcher Award

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Dr. Anas Rao | Data-Driven Decision Making | Best Researcher Award

Lecturer | UET Lahore | Pakistan

Dr. Anas Rao is a researcher at UET Lahore, Pakistan, specializing in data-driven decision making for advanced energy and mechanical systems. His work integrates machine learning, artificial intelligence, and statistical modeling to optimize hydrogen-enriched internal combustion engines, with a strong focus on NOx emission prediction, combustion analysis, and performance optimization. He applies ANNs, SVMs, and hybrid AI models to experimental and simulation data, enabling accurate, real-time decision support for cleaner and more efficient engine design and operation.

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Citations
778

Publications
25+

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14


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Otilia Manta | Artificial Intelligence | Innovative Research Award

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Prof. Dr. Otilia Manta | Artificial Intelligence | Innovative Research Award

Otilia Manta at Romanian Academy/ Romanian American University | Romania

Otilia Manta, Prof. Dr., is a senior researcher and academic affiliated with the Romanian Academy and Romanian American University, whose work focuses on the intersection of economics, finance, and digital transformation. Her research addresses financial innovation, FinTech, artificial intelligence in management and education, sustainability, and economic resilience, with particular attention to policy design and institutional learning in emerging and European economies. Through bibliometric, empirical, and interdisciplinary approaches, she contributes to advancing knowledge on sustainable finance, digitalization, and evidence-based economic governance.

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551

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76

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