Saeed Banaeian Far | Computer Science | Best Researcher Award

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Assist. Prof. Dr. Saeed Banaeian Far | Computer Science | Best Researcher Award

Assist. Prof. | Blockchain and Metaverse research lab | Iran

Assist. Prof. Dr. Saeed Banaeian Far is a leading researcher in applied cryptography, blockchain systems, security protocols, and emerging Metaverse technologies. He is affiliated with the Blockchain and Metaverse Research Lab (BMRL) and has made influential contributions to decentralized finance, digital twins, NFTs, Web3, privacy-preserving protocols, and quantum-secure blockchain architectures. With over 44 peer-reviewed publications in high-impact journals and conferences, his work has received 1,045 citations, reflecting strong global academic influence. He actively collaborates with international scholars and interdisciplinary teams, advancing secure digital infrastructures with significant societal impact in finance, governance, healthcare, and next-generation virtual ecosystems.

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Sabitha Vemula | Engineering | Best Researcher Award

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Mrs. Sabitha Vemula | Engineering | Best Researcher Award

Associate Professor | Vaagdevi College Of Engineering | India

Mrs. Sabitha Vemula  is an Associate Professor at Vaagdevi College of Engineering with expertise in signal and image processing, medical image analysis, machine learning, and VLSI-related systems. Her research is strongly focused on MRI-based brain tumor detection and classification, integrating kernel methods, support vector machines, convolutional neural networks, and transformer architectures. She has authored over 7 peer-reviewed publications in international journals, IEEE/Elsevier conference proceedings, and edited volumes, accumulating more than 37 citations. Her work reflects sustained interdisciplinary collaboration and contributes to improved diagnostic accuracy, healthcare decision support, and intelligent imaging systems with clear societal and clinical relevance.

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Tarun Kumar Lohani | Environmental and Sustainable Materials | Best Academic Researcher Award

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Prof. Tarunkumar Lohani | Environmental and Sustainable Materials | Best Academic Researcher Award

Professor | Arba Minch University | India

Prof. Tarun Kumar Lohani is a researcher at Arba Minch University, Ethiopia, specializing in hydrology, groundwater science, watershed management, and geospatial–machine learning applications for water resources. He has authored 77 peer-reviewed publications, receiving 665 citations with an h-index of 14, reflecting consistent scholarly impact. His work addresses groundwater quality, recharge dynamics, land-use change, sedimentation, and sustainable water management in major Ethiopian basins. Lohani actively collaborates with a wide international network of researchers 113 co-authors, contributing to interdisciplinary solutions for water security. His research supports evidence-based policymaking, sustainable resource planning, and climate-resilient development in water-stressed regions.

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Adedayo Yusuff | Engineering | Outstanding Contribution Award

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Prof. Adedayo Yusuff | Engineering | Outstanding Contribution Award

Sarchi Chair | University of South Africa  | South Africa 

Prof. Adedayo Yusuff is a researcher at the University of South Africa, Pretoria, specializing in power systems engineering, renewable energy integration, energy sustainability, and intelligent energy systems. His scholarly output includes 119 Scopus-indexed publications, accumulating 1,160 citations with an h-index of 16, reflecting consistent academic impact. His research addresses critical challenges in solar and wind integration, microgrids, energy storage, electric vehicles, and energy planning for developing regions, particularly sub-Saharan Africa. Through extensive international collaborations with over 85 co-authors, his work contributes to resilient energy infrastructure, sustainable electrification, and evidence-based energy policy with clear societal and environmental relevance.

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Optimal design of wind-powered hydrogen refuelling station for some selected cities of South Africa.

– International Journal of Hydrogen Energy. (2021). Citations: 138

Willingness to pay for green electricity derived from renewable energy sources in Nigeria.

– Renewable and Sustainable Energy Reviews. (2021). Citations: 97

Peter Williams | Educational Technology | Research Excellence Award

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Dr. Peter Williams | Educational Technology | Research Excellence Award

Retired Scholar | University of Hull | United Kingdom

Dr. Peter Williams is an independent researcher and retired Senior Lecturer in Technology Enhanced Learning at the University of Hull, UK, with expertise in digital education, e-assessment, learning analytics, and AI in higher education. He has successfully lead-supervised eight doctoral students and served as an external examiner for PhD and Master’s programmes at institutions including the University of Malta and the University of Leeds. His research examines assessment transformation, blockchain-enabled micro-credentials, and human–agentic AI systems. He has authored 13 peer-reviewed publications in leading journals, reviewed over 30 scholarly papers, and serves on the editorial board of Education Sciences, contributing to the global advancement of innovative and inclusive assessment practices.

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Does competency-based education with blockchain signal a new mission for universities?.

– Journal of Higher Education Policy and Management. (2019). Citations: 202

Leading schools in the digital age: A clash of cultures.

– School Leadership and Management. (2008). Citations: 122

Valid knowledge: The economy and the academy.

-Higher Education. (2007). Citations: 87

Assessing collaborative learning: Big data, analytics and university futures.

– Assessment & Evaluation in Higher Education. (2017). Citations: 85

Lessons from the future: ICT scenarios and the education of teachers.

– Journal of Education for Teaching: International Research and Pedagogy. (2005). Citations: 76

Ei Mehdi Chakour | Computer Science | Research Excellence Award

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Dr. Ei Mehdi Chakour | Computer Science | Research Excellence Award

Research Postdoc | Université Sidi Mohamed Ben Abdellah | Morocco

Dr. Ei Mehdi Chakour is a researcher at Université Sidi Mohamed Ben Abdellah, Fez, Morocco, specializing in medical image analysis and deep learning applications for ophthalmology, particularly diabetic retinopathy detection. With four peer-reviewed publications and 16 citations, Dr. Chakour has contributed to advancements in retinal image segmentation, enhancement, and severity classification using dynamic preprocessing, mathematical morphology, and transfer learning techniques. His collaborative work involves 11 co-authors across international conferences and journals, reflecting a strong commitment to interdisciplinary research. Through the development of mobile-based deep learning systems, his work demonstrates significant societal impact by enabling earlier, accessible, and accurate diabetic retinopathy screening.

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Mobile‑based deep learning system for early detection of diabetic retinopathy.

– Intelligence‑Based Medicine. Advance online publication. (2025). 

Transfer learning for severity and stages detection of diabetic retinopathy.

-Embedded Systems and Artificial Intelligence (ESAI) . (2024).

Blood vessel segmentation of retinal fundus images using dynamic preprocessing and mathematical morphology.

– International Conference on Control, Decision and Information Technologies (CoDIT). (2022). 

C.P. Sujith | Chemistry and Material Science | Excellence in Research

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Assist. Prof. Dr. C.P. Sujith | Chemistry and Material Science | Excellence in Research

Assistant Professor | JSS Arts, Commerce and Science College | India

Dr. C. P. Sujith is a theoretical condensed matter physicist with a recent PhD from the Central University of Kerala, India, specializing in first-principles Density Functional Theory (DFT) and materials informatics. His research focuses on quasi-one-dimensional chalcogenide materials, revealing strong optical birefringence and anisotropic electronic transport with applications in optoelectronics, sensing, and polarimetric technologies. He has published multiple articles in high-impact international journals and actively collaborates with multidisciplinary research teams. Dr. Sujith has also proposed a novel energy gap–refractive index relationship using nonlinear regression. His work contributes to advancing computational materials design, data-driven physics, and education-oriented research with societal and technological relevance.

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Yirga Munaye | Computer Science | Best Researcher Award

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Assoc. Prof. Dr. Yirga Munaye | Computer Science | Best Researcher Award

Postdoctoral Researcher | Bahir Dar University | Ethiopia

Dr. Yirga Munaye is a distinguished researcher at Bahir Dar University, Ethiopia, specializing in wireless communication, UAV systems, artificial intelligence, IoT, and cybersecurity. With 36 publications and 599 citations, he has made significant contributions to UAV positioning, indoor/outdoor localization, deep learning for resource management, and secure network infrastructures. His collaborations span 36 international co-authors, reflecting strong interdisciplinary and global engagement. Dr. Munaye’s research addresses critical societal challenges, including smart connectivity, network optimization, and AI-driven security solutions, advancing both theoretical knowledge and practical applications in emerging technologies worldwide.

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Naveed Khan | Econometrics and Finance | Best Researcher Award

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Mr. Naveed Khan | Econometrics and Finance | Best Researcher Award

Lecturer | International Islamic University | Pakistan

Dr. Naveed Khan is a finance scholar at the International Islamic University, Islamabad, specializing in asset pricing, corporate governance, financial stability, and market risk under economic uncertainty. He holds a PhD focused on asset pricing anomalies across BRICS economies, with earlier research on dividend policy and factor models in Pakistan. Dr. Khan has authored 15 Scopus-indexed publications with 50+ citations, an h-index of 5, and papers in leading journals such as Heliyon, Risks, Computational Economics, and Resources Policy. His work employs advanced econometric and quantile-based methods and informs policy debates on financial resilience, governance, and investment decision-making in emerging markets.

Naveed Khan
Lecturer, International Islamic University

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Erginbay Uğurlu | Financial Econometrics | Best Researcher Award

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Prof. Dr. Erginbay Uğurlu | Financial Econometrics | Best Researcher Award

Head of Department of Economics and Finance | Istanbul Aydın University | Turkey

Prof. Dr. Erginbay Uğurlu is a leading scholar in financial econometrics, risk management, and energy economics, with extensive experience in modeling, policy analysis, and empirical finance. He has authored over 50 peer-reviewed publications, including high-impact Q1–Q2 journals, accumulating significant citations and global recognition. His work integrates advanced econometric techniques such as DCC-GARCH and Markov switching models to address complex financial, environmental, and energy-related risks. Prof. Uğurlu has held postdoctoral research appointments at Columbia University, served on editorial boards, and contributed to numerous international projects, fostering interdisciplinary collaboration. His research advances evidence-based policy, sustainable financial systems, and data-driven decision-making, making a tangible societal impact in energy, finance, and environmental planning.

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Istanbul Aydın University

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Income Inequality and Inflation in the EU


– International Strategic Management Association, University of Piraeus, 2012 · 181 citations


Ekonometri Uygulamaları Kılavuzu


– Lambert Academic Publishing, 2023 · 64 citations


Büyüme, Doğrudan Yabancı Sermaye Yatırımları ve Yurtiçi Yatırımlar Arasındaki Etkileşim


– Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2007 · 55 citations


Real Exchange Rate and Economic Growth: Turkey


– MANAS Sosyal Bilimler Dergisi, 2009 · 51 citations