Prof. Gérard Gouesbet | Light Scattering | Research Excellence Award

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Prof. Gérard Gouesbet | Light Scattering | Research Excellence Award

Emeritus | Normandie University | France

Prof. Gérard Gouesbet is an internationally recognized authority in optical physics with a sustained and influential career centered on Light Scattering theory and applications. His scientific leadership has shaped foundational advances in Light Scattering modeling, Light Scattering interactions with particles, and rigorous analytical formulations that guide experimental and computational practices worldwide. Prof. Gérard Gouesbet has authored more than four hundred peer reviewed publications, establishing a definitive reference base for Light Scattering across dilute and dense media, laser particle diagnostics, and optical characterization methods. His work on Light Scattering has enabled precise measurement technologies with direct relevance to aerospace engineering, atmospheric science, combustion research, and industrial process monitoring. Through extensive international collaborations, Prof. Gérard Gouesbet has strengthened global research networks and advanced the translation of Light Scattering theory into practical societal solutions. His sustained contributions to Light Scattering scholarship continue to influence scientific standards, interdisciplinary innovation, and long term technological impact. Scopus profile of 13,738 Citations, 410 Documents, 57 h- index.

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Assist. Prof. Dr. Nevra Karamüftüoğlu | Artificial Neural Networks | Research Excellence Award

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Assist. Prof. Dr. Nevra Karamüftüoğlu | Artificial Neural Networks | Research Excellence Award

Assistant Professor | Gülhane Faculty of Dentistry, University of Health Sciences | Turkey

Assist. Prof. Dr. Nevra Karamüftüoğlu is an accomplished academic and researcher whose work integrates pediatric dentistry with advanced Artificial Neural Networks to address contemporary clinical and societal challenges. Her expertise centers on Artificial Neural Networks driven decision support systems, diagnostic modeling, and data interpretation in dental sciences, where Artificial Neural Networks are applied to radiographic analysis, preventive strategies, and patient education. Through interdisciplinary collaborations, Artificial Neural Networks have been utilized to enhance biomaterials research, sustainability practices, and intelligent clinical workflows. Her scholarly output includes peer reviewed publications where Artificial Neural Networks support evidence based methodologies, improve accuracy, and strengthen reproducibility. Artificial Neural Networks also underpin her collaborative research with clinicians and engineers, enabling translational impact from laboratory innovation to patient care. The societal relevance of her work is reflected in the use of Artificial Neural Networks to promote preventive oral health, digital literacy, and equitable healthcare delivery. Overall, Artificial Neural Networks represent a unifying framework across her research, teaching, and service, reinforcing global relevance and scientific rigor. Scopus profile of 26 Citations, 7 Documents, 2 h- index.

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Dr. Jaimon Dennis Quadros | Computational Methods | Best Researcher Award

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Dr. Jaimon Dennis Quadros | Computational Methods | Best Researcher Award

Lecturer | School of Engineering and Built Environment, University of Greater Manchester | United Kingdom

Dr. Jaimon Dennis Quadros is a distinguished researcher recognized for advanced contributions in Computational Methods applied to mechanical engineering and fluid sciences. His expertise centers on Computational Methods for fluid dynamics, heat transfer, multiphase flows, and intelligent optimization, with strong emphasis on Computational Methods integrated with artificial intelligence, neural networks, and machine learning. Dr. Jaimon Dennis Quadros has produced an extensive body of scholarly work, authoring more than seventy peer reviewed publications that highlight the effectiveness of Computational Methods in predicting complex physical phenomena. His research demonstrates how Computational Methods enhance accuracy, efficiency, and reliability in engineering analysis and design. Through international academic and industry collaborations, he has successfully applied Computational Methods to aerospace, automotive, manufacturing, and thermal systems, supporting innovation and sustainable engineering solutions. His mentorship and leadership have strengthened research capacity and knowledge transfer across institutions. The societal impact of his work lies in advancing safer designs, improved energy efficiency, and data informed decision making through Computational Methods. Scopus profile of 198 Citations, 35 Documents, 8 h index.

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Prof. Charalampos C. Moustakidis | Nuclear Physics | Research Excellence Award

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Prof. Charalampos C. Moustakidis | Nuclear Physics | Research Excellence Award

Professor of Physics | Aristotle University of Thessaloniki | Greece

Prof. Charalampos C. Moustakidis is a globally recognized theoretical physicist whose scholarly contributions are centered on Nuclear Physics with sustained impact across fundamental and applied domains. His expertise in Nuclear Physics spans nuclear structure, dense nuclear matter, Nuclear Physics of neutron stars, Nuclear Physics driven equations of state, and Nuclear Physics based interpretations of astrophysical observables. Prof. Charalampos C. Moustakidis has authored more than fifty peer reviewed publications, widely cited within the international Nuclear Physics community, reflecting strong scientific influence and continuity. His research in Nuclear Physics integrates advanced theoretical modeling, computational Nuclear Physics, and interdisciplinary links between Nuclear Physics, astrophysics, and particle phenomena. He has established extensive international collaborations, strengthening the global Nuclear Physics research ecosystem and contributing to high level editorial, reviewing, and scientific leadership activities. The societal impact of his Nuclear Physics work is evident in advancing fundamental understanding of compact astrophysical objects, extreme matter, and universal physical laws, reinforcing the strategic value of Nuclear Physics in modern science and technology. Google Scholar profile of 2527 Citations, 28 h- index, 53 i10-index.

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Featured Publications


The stability of relativistic stars and the role of the adiabatic index

General Relativity and Gravitation, 2017
 •Cited by 248


Information entropy, information distances, and complexity in atoms

The Journal of Chemical Physics, 2005
 •Cited by 226


Direct detection of dark matter rates for various WIMPs

Nuclear Physics B, 2007
 •Cited by 110


Proton-neutron pairing in the deformed BCS approach

Physical Review C, 2003
 •Cited by 107

Dr. Ekaterina N. Muratova | Photovoltaics | Women Researcher Award

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Dr. Ekaterina N. Muratova | Photovoltaics | Women Researcher Award

Associate Professor | Saint Petersburg Electrotechnical University | Russia

Dr. Ekaterina N. Muratova is an accomplished researcher recognized internationally for advanced contributions to materials science and energy technologies, with a strong and sustained focus on Photovoltaics. Her scholarly work integrates nano and microporous materials, surface science, and device engineering, positioning Photovoltaics as a central theme across experimental design, characterization, and application. Through extensive interdisciplinary collaborations, her research advances Photovoltaics by optimizing material architectures, enhancing charge transport, and improving stability and performance metrics relevant to Photovoltaics systems. She has authored more than seventy peer reviewed scientific publications, multiple textbooks and monographs, and patented innovative solutions that directly support the progress of Photovoltaics. Her work has been disseminated widely through global scientific forums, strengthening international research networks and accelerating innovation in Photovoltaics. The societal impact of her research is reflected in improved renewable energy solutions, sustainable technology development, and knowledge transfer that supports the global adoption of Photovoltaics in modern energy infrastructures. Google Scholar profile of 582 Citations, 14 h- index, 17 i10-index.

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Dr. Shanglong Li | Engineering | Research Excellence Award

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Dr. Shanglong Li | Engineering | Research Excellence Award

University-Appointed Associate Professor | East China Jiaotong University | China

Dr. Shanglong Li is a recognized academic and researcher in Engineering with specialized expertise in power electronics, power systems, and advanced converter technologies within modern Engineering applications. His work in Engineering focuses on power electronic converters, distributed energy systems, energy storage integration, and electric mobility Engineering solutions. Dr. Shanglong Li has authored 6 Documents with 67 Citations, reflecting strong scholarly impact and sustained contributions to Engineering research at an international level. His Engineering research outputs are widely disseminated through high quality journals and conferences, demonstrating innovation in control strategies, converter optimization, and system level Engineering design. He actively engages in collaborative Engineering research with industrial partners and research institutions, ensuring practical Engineering relevance and technology transfer. Several Engineering outcomes have supported applied development initiatives, contributing to grid reliability, energy efficiency, and sustainable Engineering solutions with measurable societal and industrial impact.


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Mr. Omar Emam | Bioengineering | Research Excellence Award

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Mr. Omar Emam | Bioengineering | Research Excellence Award

STEM High School for Boys - 6th of October | Egypt

Mr. Omar Emam is an emerging researcher whose work demonstrates strong interdisciplinary impact across Bioengineering, computational biology, and artificial intelligence. His research profile is centered on Bioengineering-driven modeling of biological systems, Bioengineering applications of deep learning, and Bioengineering optimization of genetic and molecular processes. Through active Bioengineering research collaborations with international scholars, he has contributed to transformer-based codon optimization, protein expression modeling, molecular docking, and mathematical modeling of disease mechanisms, all grounded in Bioengineering principles. His scholarly output includes multiple peer-reviewed research papers and preprints, accumulating measurable citations and visibility within the Bioengineering and computational science communities. Mr. Omar Emam has engaged in global Bioengineering collaborations, released open-source Bioengineering tools, and supported reproducible research practices that strengthen scientific transparency. His Bioengineering-focused research addresses real-world challenges such as rare disease understanding, biological system optimization, and data-driven biomedical innovation, reflecting clear societal relevance. His Bioengineering contributions align with international research standards and demonstrate strong potential for sustained global impact. ORCID profile of 1 Documents.

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Dr. Sijo A K | Physics | Research Excellence Award

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Dr. Sijo A K | Physics | Research Excellence Award

Assistant Professor | Mary Matha Arts & Science College | India

Dr. Sijo A K is a dedicated academic and researcher affiliated with Mary Matha Arts and Science College Wayanad, contributing actively to interdisciplinary advancement across Physics, Materials Science, Science and Technology, Engineering, and Chemistry. His research profile reflects strong expertise in Physics with sustained contributions to experimental and theoretical Physics, applied Physics, and emerging Physics driven technologies. Through continuous engagement in Physics oriented investigations, he has demonstrated the ability to integrate Physics principles with materials innovation and engineering applications. His scholarly output highlights collaborative research culture, with interdisciplinary partnerships that strengthen Physics based problem solving and translational outcomes. The impact of his work in Physics extends to academic knowledge dissemination, mentoring, and societal relevance through technology enabled solutions grounded in Physics fundamentals. His research visibility and influence are supported by consistent citations and recognized scholarly contributions within the global Physics community. Scopus profile of 260 Citations, 29 Documents, 12 h index.

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Optical and structural characterization of SILAR-coated Mn-doped ZnS films for LEDs

Journal of Materials Science-Materials in Electronics, 2025

Assoc. Prof. Dr. Zied Hajej | Engineering | Research Excellence Award

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Assoc. Prof. Dr. Zied Hajej | Engineering | Research Excellence Award

Associate Professor | University of Lorraine | France

Assoc. Prof. Dr. Zied Hajej is an internationally recognized academic and researcher whose work is firmly positioned at the core of Engineering, with sustained contributions across industrial Engineering, systems Engineering, computational Engineering, and decision oriented Engineering frameworks. His expertise integrates Engineering optimization, Engineering analytics, Engineering intelligence, and Engineering driven modeling to address complex production, maintenance, logistics, and reliability challenges. He has authored and co authored more than thirty peer reviewed journal articles, numerous international conference papers, books, and software solutions, reflecting a strong Engineering research portfolio with high global visibility. His Engineering research emphasizes integrated production and maintenance Engineering, sustainable Engineering systems, renewable energy Engineering, and data driven Engineering strategies supported by artificial intelligence and machine learning. He maintains active Engineering collaborations with leading international universities, research laboratories, and industrial partners, strengthening interdisciplinary Engineering innovation and knowledge transfer. His Engineering contributions have influenced industrial practices, improved system reliability, and supported sustainable societal outcomes through efficient Engineering solutions. Google Scholar profile of 1083 Citations, 18 h index, 32 i10 index.

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