Francis Deng Clement | Architecture and Urban Planning | Research Excellence Award

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Dr. Francis Deng Clement | Architecture and Urban Planning | Research Excellence Award

Nantong University | China

Dr. Francis Deng Clement is an emerging researcher in urban systems, sustainable architecture, and computational modeling, with a growing academic footprint reflected in 5 publications, 2 citations, and an h-index of 1. His research focuses on integrating data-driven approaches and agent-based modeling to address challenges in urban mobility, infrastructure design, and environmental sustainability. His work explores topics such as age-inclusive shared mobility, urban heat island mitigation through sustainable roofing technologies, and structural performance in architectural engineering. Additionally, he contributes to theoretical discourse by examining the relationship between urban design theory and practice. Through interdisciplinary methodologies, his research advances innovative solutions for resilient, efficient, and inclusive urban environments.

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Mussa A. Stephano | Artificial Neural Networks for Optimization | Research Excellence Award

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Dr. Mussa A. Stephano | Artificial Neural Networks for Optimization | Research Excellence Award

Mkwawa University College of Education | Tanzania

Dr. Mussa A. Stephano is an emerging researcher in mathematical epidemiology and computational modeling, with a strong focus on infectious disease dynamics and complex biological systems. His scholarly contributions include 13 published documents with a total of 61 citations, reflecting growing academic impact, and an h-index of 5. His research primarily explores lymphatic filariasis modeling, incorporating deterministic and stochastic approaches, seasonal variability, and the role of asymptomatic carriers in disease transmission. He has also applied advanced computational techniques such as artificial neural networks and the Levenberg–Marquardt algorithm to enhance predictive modeling. Additionally, his work extends to prey–predator dynamics and zoonotic diseases, demonstrating interdisciplinary relevance. Through publications in reputed journals, his research contributes to improving disease control strategies and advancing the understanding of epidemiological systems using mathematical and computational frameworks.

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Rami Ahmad El-Nabulsi | Neurocpmputing , Quantum Neural Networks and AI | Network Innovator Excellence Award

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Prof. Dr. Rami Ahmad El-Nabulsi | Neurocpmputing , Quantum Neural Networks and AI | Network Innovator Excellence Award

CESNET | Czech Republic

Prof. Dr. Rami Ahmad El-Nabulsi is a highly prolific researcher with significant contributions across theoretical physics, applied mathematics, quantitative finance, and complex systems. His work spans advanced topics such as fractional calculus, quantum mechanics, Hamiltonian dynamics, fractal systems, and financial modeling, often integrating interdisciplinary approaches to address complex scientific problems. He has published extensively in high-impact journals, contributing to areas including quantum information, cosmology, and nonlinear dynamics. With an impressive h-index of 36, 286 documents, and 5,047 citations, his research demonstrates strong global impact and scholarly influence. His recent studies explore generalized Schrödinger equations, fractal Laplacian models, chaotic orbital dynamics, and financial systems in fractal dimensions, reflecting his continued innovation and leadership in cutting-edge scientific research.

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Yong Zhu | Policy Entity Network Analysis | Research Excellence Award

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Dr. Yong Zhu | Policy Entity Network Analysis | Research Excellence Award

University of Melbourne | Australia

Dr. Yong Zhu is an emerging researcher specializing in data science, policy analysis, and computational social science, with a focus on topic modeling and intelligent data-driven decision-making. His work integrates advanced natural language processing techniques, including fine-tuned RoBERTa models, to analyze science, technology, and environmental policies. He has contributed to both conference and journal publications, including research on policy evolution and governance networks. Additionally, he has developed a topic modeling data analysis and visualization platform that supports automated analytics and visual insights. His contributions also extend to multiple academic book chapters on think tank research and evaluation. With an h-index of 1, 2 documents, and 1 citation, his profile reflects early-stage yet promising contributions to data-driven policy research and analytical systems development.

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El khansa Lameche | Decision Support Tools, Adaptation to Climate Change | Outstanding Research Achievement Award

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Dr. El khansa Lameche | Decision Support Tools, Adaptation to Climate Change | Outstanding Research Achievement Award

Laarbi Ben M'hidi University | Algeria

Dr. El Khansa Lameche is a researcher specializing in urban hydrology, flood risk assessment, and climate-adaptive drainage systems, with a focus on modeling and mitigating flood hazards in arid and semi-arid regions. Her work emphasizes numerical modeling of urban drainage networks, rainfall analysis, and the impacts of climate change on flood intensity and frequency. She has contributed to studies on flood mitigation strategies and hydraulic performance in cities such as Algiers, with publications in journals like Water Science & Technology and Urban Climate. Her research integrates data-driven modeling and environmental analysis to improve urban resilience. With an h-index of 2, 40 citations, and multiple scholarly documents, her profile reflects emerging contributions to water resource management and sustainable urban infrastructure development.

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Hanne Peoples | Ageing and Dementia | Research Excellence Award

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Assoc. Prof. Dr. Hanne Peoples | Ageing and Dementia | Research Excellence Award

UCL University College | Denmark

Assoc. Prof. Dr. Hanne Peoples is a distinguished researcher in ageing, dementia studies, and occupational science, with a strong focus on social inclusion, community engagement, and health in later life. Her work explores how social networks and environments influence wellbeing, particularly in rural and vulnerable populations. Notable contributions include research on healthy ageing in rural Denmark and socio-material connectivity for people with dementia, published in leading journals such as Journal of Rural Studies and Memory Studies. She has also contributed extensively to academic books and conferences in ergotherapy and dementia care. With an h-index of 11, 18 documents, and 361 citations, her research demonstrates significant academic impact and interdisciplinary relevance in advancing inclusive and evidence-based healthcare practices.

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Hanbing Hao | Graph Data Structures and Algorithms | Young Researcher Award

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Mr. Hanbing Hao | Graph Data Structures and Algorithms | Young Researcher Award

Anhui University | China

Mr. Hanbing Hao is an emerging researcher contributing to advanced methodologies in graph-based learning and computational intelligence, with a focus on integrating deep learning and network representations for complex data analysis. His recent work, GICLMorph: Self-supervised 3D neuronal morphology representation via graph-image contrastive learning, published in Expert Systems with Applications, highlights innovative approaches that combine graph structures and image-based features to enhance representation learning in neuroscience applications. His research reflects strong engagement with interdisciplinary domains, particularly in machine learning, graph analytics, and biomedical data modeling.  His contributions demonstrate a commitment to advancing intelligent systems through novel, data-driven frameworks and scalable analytical techniques.

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Ameeque | Social Sciences | Research Excellence Award

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Mr. Ameeque | Social Sciences | Research Excellence Award

HSE University | Pakistan

Mr. Ameeque is an emerging researcher in educational analytics and public policy, with a growing academic profile reflected through contributions to interdisciplinary research. With published work including studies on creative thinking, mathematics achievement, and student well-being, his research applies advanced statistical techniques such as multilevel modeling on large-scale datasets like PISA 2022 to uncover key drivers of educational outcomes, highlighting the central role of self-efficacy. He has also explored economic development through public procurement systems, employing robust econometric methods, including Instrumental Variable (IV) strategies, to analyze complex U.S. government datasets. His research demonstrates a strong focus on data-driven decision-making, policy evaluation, and societal impact. Although currently at an early stage, his scholarly record includes 2 documents and an evolving citation base, with an h-index in development, reflecting promising potential for future academic influence and contribution.

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Mengjing Xiao | Burn Plastic and Aesthetic Surgery | Research Excellence Award

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Prof. Mengjing Xiao | Burn Plastic and Aesthetic Surgery | Research Excellence Award

Shenzhen University | China

Prof. Mengjing Xiao is an emerging researcher in biomedical science and translational medicine, with an h-index of 1, 2 publications, and 1 citation across 1 scholarly document. Her research focuses on molecular mechanisms of disease, particularly in inflammation, burn injury, and sepsis-related complications. She has contributed to studies exploring lung injury mechanisms, mitochondrial DNA-induced inflammation, and cellular responses in severe burn conditions. Her work also extends to drug discovery, including the design and evaluation of bioactive compounds such as urease inhibitors with potential therapeutic applications. By integrating experimental biology with clinical insights, her research advances understanding of disease pathology and supports the development of innovative treatment strategies in modern medical science.

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Xinyue Zhang | Carbon Footprint Attribution and Governance in Biopharmaceutical Supply Chain Networks | Excellence in Research Award

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Dr. Xinyue Zhang | Carbon Footprint Attribution and Governance in Biopharmaceutical Supply Chain Networks | Excellence in Research Award

Beijing University of Chemical Technology | China

Dr. Xinyue Zhang is an emerging researcher in human–computer interaction and human–AI collaboration, with an h-index of 1, 3 publications, and 2 citations across 2 scholarly documents. Her research focuses on enhancing team effectiveness through the integration of human cognition and artificial intelligence systems. She has contributed to understanding the role of shared mental models in improving knowledge complementarity within human–AI teams, enabling more efficient collaboration and decision-making. Her work also explores the impact of interruption dynamics on academic performance, offering insights into cognitive processes and communication efficiency. By combining behavioral analysis with interactive system design, her research advances the development of intelligent, user-centered technologies that improve productivity, adaptability, and performance in complex collaborative environments.

 

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