Jialu Chen | Periodontitis | Research Excellence Award

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Dr. Jialu Chen | Periodontitis | Research Excellence Award

Nanjing Medical University | China

Dr. Jialu Chen is a researcher in periodontology and oral biomedical sciences at Nanjing Medical University, with expertise in the molecular mechanisms underlying periodontal diseases and the identification of novel therapeutic targets. Her research focuses on biomarker discovery and translational strategies for periodontitis, as evidenced by her peer-reviewed publication in the International Dental Journal (2026), which investigates stress granules as potential biomarkers for periodontal therapy. She has authored one international journal publication, developed through multi-institutional and multi-author collaboration, reflecting active engagement in collaborative biomedical research. As a member of the Chinese Stomatological Association, she contributes to professional and scientific networks within oral biomedicine. Her work supports advances in precision diagnostics and targeted treatments for periodontal disease, with potential social and clinical impact in improving oral health management and evidence-based dental care at both national and international levels.

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Huaguo Huang | Biotechnology | Best Researcher Award

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Mr. Huaguo Huang | Biotechnology | Best Researcher Award

Sichuan Minzu College | China

Mr. Huaguo Huang is a researcher at Sichuan Minzu College, Kangding, China, with expertise in veterinary virology and infectious disease research, particularly focused on African Swine Fever Virus (ASFV) and viral pathogenicity. His work addresses critical challenges in animal health by investigating viral genetics, virulence mechanisms, and disease control strategies relevant to the global swine industry. He has authored 4 publications, which have collectively received 82 citations, reflecting growing academic visibility and impact despite a focused publication portfolio. His research has appeared in reputable, peer-reviewed international journals, including Viruses, demonstrating engagement with the global virology research community. Huang maintains an h-index of 3 and has collaborated with multidisciplinary research teams, contributing to experimental design and applied virological analysis. The societal and economic relevance of his work is significant, as ASFV research supports improved biosecurity, disease mitigation, and food security, particularly in regions heavily dependent on pig farming.

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Davron Juraev | Differential Equations | Editorial Board Member

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Prof. Dr. Davron Juraev | Differential Equations | Editorial Board Member

University of Economics and Pedagogy | Uzbekistan

Prof. Dr. Davron Juraev is an active researcher in applied mathematics and mathematical physics, with a strong focus on spectral theory, boundary value problems, differential equations, and mathematical modeling of physical systems. His work spans advanced topics such as inverse spectral problems, PT-symmetric operators, impulse differential equations, and heat transfer in multidimensional domains, demonstrating both theoretical depth and applied relevance. He has authored 54 publications, which have collectively received 494 citations, reflecting sustained scholarly impact and a solid h-index of 15. His research outputs are disseminated in reputable international journals, including Boundary Value Problems, Symmetry, Engineering Reports, and Journal of Electronic Materials. Juraev maintains broad international collaborations, evidenced by co-authorship with over 70 researchers, enhancing the interdisciplinary and global reach of his work. His contributions support advances in mathematical methods applicable to physics, engineering, and computational sciences, strengthening the theoretical foundations that underpin modern technological and scientific development.

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Jiyoun Song | Technology | Research Excellence Award

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Dr. Jiyoun Song | Technology | Research Excellence Award

University of Pennsylvania School of Nursing | United States

Dr. Jiyoun Song is an accomplished researcher in nursing science and health outcomes research at the University of Pennsylvania School of Nursing, with a strong focus on patient-centered care, symptom management, quality of life, and evidence-based nursing interventions across diverse clinical populations. She has demonstrated sustained scholarly productivity with 79 peer-reviewed publications that have received 664 citations, achieving an h-index of 14, reflecting both research quality and long-term impact. Her work is characterized by rigorous methodology and meaningful translation of research findings into clinical and policy-relevant contexts. Dr. Song maintains a broad collaborative profile, having worked with over 150 national and international co-authors, underscoring her active engagement in interdisciplinary and global research networks. Collectively, her contributions have advanced nursing practice, informed healthcare delivery models, and generated measurable social impact through improved patient outcomes and the integration of evidence-based care into real-world health systems.

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Basma Badreddine | Human-Centric GAI | Research Excellence Award

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Dr. Basma Badreddine | Human-Centric GAI | Research Excellence Award

Macquarie University | Australia

Dr. Basma Badreddine is a researcher at Macquarie University, Sydney, specializing in information management with a focus on digital health communities and user engagement. Her work critically examines the role of personality traits in online participation, particularly within cancer support networks, highlighting the intersection of psychology, information behavior, and health informatics. Dr. Badreddine has authored 5 peer-reviewed publications, collectively cited 23 times and 2 h-index, demonstrating her contribution to advancing knowledge in online health communication and digital community engagement. She collaborates with a range of interdisciplinary scholars, enhancing both the methodological rigor and practical relevance of her research. Her studies inform strategies to improve patient support, digital literacy, and community-based interventions, reflecting tangible social impact. Through her scholarly work, Dr. Badreddine has established a significant presence in global research on online health communities, providing insights that bridge theory, technology, and societal well-being.

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Rakesh Rajendran | Optimization Algorithms | Research Excellence Award

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Dr. Rakesh Rajendran | Optimization Algorithms | Research Excellence Award

Regenesys Institute of Management | India

Dr. Rakesh Rajendran, affiliated with the Department of Information Science and Technology, Chennai, India, is a distinguished researcher in the domain of cybersecurity and network resource management. With a focused expertise in denial-of-service (DoS) attack mitigation and resource usage tracking, Dr. Rakesh has contributed significantly to the advancement of secure computing systems. His scholarly output includes 10 peer-reviewed publications, collectively cited 107 times and 5 h-index,  reflecting a growing recognition within the global research community. Collaborating with 29 co-authors across diverse institutions, he has fostered interdisciplinary engagement, enhancing both theoretical insights and practical applications. Notably, his work addresses critical challenges in safeguarding digital infrastructures, underscoring a tangible societal impact by informing resilient cybersecurity practices. His research trajectory demonstrates a commitment to innovative, high-quality scholarship with relevance to both academic and industrial domains, positioning him as a recognized contributor to the advancement of information security and technological reliability worldwide.

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Yucen Yuan | New energy | Research Excellence Award

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Mr. Yucen Yuan | New energy | Research Excellence Award

Lanzhou Jiaotong University | China

Mr. Yucen Yuan is an early-career researcher affiliated with Lanzhou Jiaotong University, China, with a focused research profile in intelligent fault diagnosis and data-driven condition monitoring of renewable energy systems. His work lies at the intersection of machine learning, optimization algorithms, and mechanical fault detection, with particular emphasis on wind turbine bearing health assessment. Yuan has authored 2 peer-reviewed publications, accumulating 1 citation to date and 1 h-index, reflecting emerging scholarly visibility. His 2025 article in Engineering Research Express introduces an improved dung beetle optimizer–enhanced LSTM framework, demonstrating methodological innovation in time-series fault diagnosis. This contribution highlights his expertise in deep learning optimization, signal analysis, and industrial predictive maintenance. Yuan has engaged in collaborative research, contributing as part of a small co-author network, and his work supports the reliability and sustainability of wind energy infrastructure. The societal impact of his research aligns with global clean energy goals by advancing intelligent monitoring technologies that reduce equipment failure, maintenance costs, and operational risks in renewable power systems.

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Emanuel Santos | Physics | Research Excellence Award

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Prof. Emanuel Santos | Physics | Research Excellence Award

Federal University of Pernambuco | Brazil

Prof. Emanuel Santos is an established academic researcher at the Universidade Federal de Pernambuco, Brazil, with a scholarly profile characterized by consistent research productivity, international visibility, and collaborative engagement. His research is situated within his core disciplinary domain, with contributions that address both theoretical advancement and applied problem-solving. He has authored 34 peer-reviewed publications, which have collectively received 321 citations, reflecting the relevance and sustained impact of his work within the global research community. With an h-index of 10, his publications demonstrate balanced depth and influence across multiple studies. His research portfolio shows active collaboration with a diverse network of national and international co-authors, supporting interdisciplinary knowledge exchange. Beyond academic metrics, his work contributes to scientific capacity building, informs evidence-based practice, and supports broader societal and developmental objectives. Overall, his research profile reflects methodological rigor, collaborative strength, and meaningful academic and social impact.

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Wei Lu | Embodied Intelligent Robot | Research Excellence Award

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Prof. Wei Lu | Embodied Intelligent Robot | Research Excellence Award

Nanjing Agricultural University | China

Prof. Wei Lu is an established researcher at Nanjing Agricultural University, China, specializing in agricultural engineering with a strong focus on intelligent agricultural equipment, agricultural robotics, and advanced sensing and imaging technologies. His research integrates machine vision, terahertz and spectral imaging, and machine learning to develop practical solutions for precision agriculture, including automated mushroom harvesting systems, flexible grippers, non-destructive seed and crop stress detection, and root phenotyping under varying environmental conditions. He has authored 117 peer-reviewed publications, receiving 1,205 citations and achieving an h-index of 19, reflecting sustained scholarly impact and research quality. His work is widely published in leading international journals such as Computers and Electronics in Agriculture, Plant Methods, and Agronomy. With collaborations involving more than 260 co-authors, his research demonstrates strong interdisciplinary and international engagement, contributing to smart farming technologies, improved agricultural productivity, resource efficiency, and broader societal benefits related to food security and sustainable agriculture.

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