University of Jendouba | Tunisia

Dr. Mokhtar Ferhi is a researcher at Université de Jendouba, Tunisia, specializing in heat transfer, fluid mechanics, magnetohydrodynamics (MHD), nanofluid convection, and numerical simulation methods, particularly the Lattice Boltzmann Method. He has authored 27 peer-reviewed publications, receiving 140 citations with an h-index of 6 (Scopus). His work focuses on entropy generation, energy optimization, and thermal performance enhancement in cavities and micro-heat exchangers. Ferhi collaborates internationally with experts across North Africa, Europe, and the Middle East, contributing to advances in energy-efficient thermal systems with applications in sustainable engineering and heat exchanger design.

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Featured Publications

Conjugate natural heat transfer scrutiny in differentially heated cavity partitioned with a conducting solid using the lattice Boltzmann method.

– Journal of Thermal Analysis and Calorimetry. (2019). Citations: 40

MHD conjugate heat transfer and entropy generation analysis of MWCNT/water nanofluid in a partially heated divided medium.

– Heat Transfer. (2021). Citations: 36

Magnetohydrodynamic free convection through entropy generation scrutiny of eco-friendly nanoliquid in a divided L-shaped heat exchanger with Lattice Boltzmann method simulation.

– Journal of Nanofluids. (2022). Citations : 25

Heat transfer appraising and second law analysis of Cu-water nanoliquid filled microchannel: Slip flow regime.

– Romanian Journal of Physics. (2022). Citations: 22

Appraising conjugate heat transfer, heatlines visualization and entropy generation of Ag-MgO/H₂O hybrid nanofluid in a partitioned medium.

– Methods for Heat & Fluid Flow. (2020). Citations: 20

Ghribi Faouzi | Nanotechnology | Research Excellence Award

Published on 22/12/202522/12/2025 by Research Scientist

Assist. Prof. Dr. Ghribi Faouzi | Nanotechnology | Research Excellence Award

Assistant professor | University Of Gabes | Tunisia

Assist. Prof. Dr. Ghribi Faouzi author demonstrates strong expertise in functional thin films and nanostructured materials for energy, electronic, and environmental applications, supported by 22 peer-reviewed documents, 418 citations, and an h-index of 10. Key strengths include consistent publication in high-impact journals, multidisciplinary collaborations, and advanced use of deposition and characterization techniques. Areas for improvement include broader translation toward device-level integration and increased patent or industrial engagement. Future potential lies in scaling nanomaterials for sustainable energy technologies, thermoelectrics, and photocatalysis, as well as leading larger international projects with measurable societal and technological impact.

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Featured Publications

Study of CuS thin films for solar cell applications sputtered from nanoparticles synthesised by hydrothermal route.

– Energy Procedia. (2015). Citations: 78

Visible photocatalytic properties of vanadium doped zinc oxide aerogel nanopowder.

– Thin Solid Films. (2011). Citations: 73

Solar-light promoted photodegradation of metronidazole over ZnO-ZnAl₂O₄ heterojunction derived from 2D-layered double hydroxide structure.

– Journal of Photochemistry and Photobiology A: Chemistry. (2020). Citations : 61

Multifunctional ZnO:V thin films deposited by RF-magnetron sputtering from aerogel nanopowder target material.

– Thin Solid Films. (2011). Citations: 44

Sputtered ZnS thin film from nanoparticles synthesized by hydrothermal route.

– Optik. (2016). Citations: 34

Mahdi Mirzaee | Catalysis | Best Researcher Award

Published on 19/12/202524/12/2025 by Research Scientist

Assoc. Prof. Dr. Mahdi Mirzaee | Catalysis | Best Researcher Award

Supervisor | Shahrood University of Technology | Iran

Assoc. Prof. Dr. Mahdi Mirzaee is a materials scientist at Shahrood University of Technology, Iran, specializing in functional nanomaterials, photocatalysis, organometallic chemistry, and biomaterials for environmental and biomedical applications. He has authored 98 peer-reviewed publications, receiving over 1,250 citations with an h-index of 21 (Google Scholar). His research spans metal oxide nanostructures, hybrid composites, drug delivery systems, and catalytic materials, published in leading international journals. Dr. Mirzaee actively collaborates with multidisciplinary research teams and contributes to sustainable technologies, advanced healthcare solutions, and environmentally benign catalytic processes with tangible societal and technological impact.

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Featured Publications

Ultrasensitive fluorescent miRNA biosensor based on a “sandwich” oligonucleotide hybridization and fluorescence resonance energy transfer process using an Ln(III)-MOF and Ag nanoparticles for early cancer diagnosis: Application of central composite design.

– ACS Applied Materials & Interfaces. (2020). Citations: 153

Preparation of cerium oxide nanoparticles in Salvia Macrosiphon Boiss seeds extract and investigation of their photo-catalytic activities.

– Ceramics International. (2019). Citations: 134

Acetylacetonate complexes of vanadium and molybdenum supported on functionalized boehmite nano-particles for the catalytic epoxidation of alkenes.

– Chemical Engineering Journal. (2017). Citations : 70

Schiff base‑functionalized boehmite nanoparticle‑supported molybdenum and vanadium complexes: Efficient catalysts for the epoxidation of alkenes.

– Applied Organometallic Chemistry. (2015). Citations: 66

Boehmite nanoparticles, an efficient green catalyst for the multi‑component synthesis of highly substituted imidazoles.

– Applied Catalysis A: General. (2013). Citations: 57

Saeed Banaeian Far | Computer Science | Best Researcher Award

Published on 19/12/202520/12/2025 by Research Scientist

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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Featured Publications

Applying digital twins in Metaverse: User interface, security and privacy challenges.

– Journal of Metaverse. (2022). Citations: 301

Blockchain and its derived technologies shape the future generation of digital businesses: A focus on decentralized finance and the Metaverse.

– Data Science and Management. (2023). Citations: 170

Toward Metaverse of everything: Opportunities, challenges, and future directions of the next generation of visual/virtual communications.

-Journal of Network and Computer Applications. (2023). Citations : 88

A review of non-fungible tokens applications in the real-world and Metaverse.

– Procedia Computer Science. (2022). Citations: 88

NFT-based identity management in metaverses: Challenges and opportunities.

– SN Applied Sciences. (2023). Citations: 47

Sabitha Vemula | Engineering | Best Researcher Award

Published on 19/12/202519/12/2025 by Research Scientist

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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Featured Publications

MRI brain tumor detection and classification using KPCA and KSVM.

– Materials Today: Proceedings. (2021). Citations: 21

Role of hematological and alternate markers in human immunodeficiency virus disease progression.

– Current Research in Medicine. (2010). Citations: 16

Fusion of convolutional architecture and transformer models for enhanced brain tumor classification.

-Informatica. (2025).

An efficient brain tumor detection using MR images with kernel-based PCA and SVM.

– Procedia Computer Science. (2025).

Transformer-enhanced MRI analysis for brain tumor detection with kernel-based PCA and support vector techniques.

– International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC) . (2024).

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

Published on 18/12/202519/12/2025 by Research Scientist

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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Featured Publications

Optimum utilization of quarry dust as partial replacement of sand in concrete.

– International Journal of Applied Sciences and Engineering Research. (2012). Citations: 142

Metaheuristic and machine learning-based smart engine for renting and sharing of agriculture equipment.

– Mathematical Problems in Engineering. (2021). Citations: 82

A comparative assessment of multi-criteria decision-making analysis and machine learning methods for flood susceptibility mapping and socio-economic impacts on flood risk in Abela-Abaya floodplain of Ethiopia..

-Environmental Challenges. (2022). Citations: 72

A comprehensive approach of hydrological issues related to ground water using GIS in the Hindu holy city of Gaya, India.

– World Journal of Engineering. (2021). Citations: 57

Adedayo Yusuff | Engineering | Outstanding Contribution Award

Published on 17/12/202519/12/2025 by Research Scientist

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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Featured Publications

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

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

Off-grid hybrid renewable energy system with hydrogen storage for South African rural community health clinic.

– International Journal of Hydrogen Energy. (2021). Citations: 121

Fault location in a series compensated transmission line based on wavelet packet decomposition and support vector regression.

-Electric Power Systems Research. (2011). Citations: 121

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

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

Fault location in transmission lines based on stationary wavelet transform, determinant function feature and support vector regression.

– Electric Power Systems Research. (2014). Citations : 83

Peter Williams | Educational Technology | Research Excellence Award

Published on 17/12/202518/12/2025 by Research Scientist

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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Featured Publications

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

Published on 16/12/202516/12/2025 by Research Scientist

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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Featured Publications

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

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

Enhanced retinal vessel segmentation using dynamic contrast stretching and mathematical morphology on fundus images.

-Applied Computational Intelligence and Soft Computing. (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).

Color fundus image enhancement: A deep learning based desktop app for earlier screening of diabetic retinopathy using real-time handheld fundus camera.

– Optimization and Data Science in Industrial Engineering (ODSIE). (2023).

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

Published on 16/12/202516/12/2025 by Research Scientist

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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Featured Publications

New energy gap–refractive index relationship: A nonlinear regression analysis using Python.

– Next Materials, 10, (2026).

Exploration of electronic and optical properties of chalcogenide perovskite materials AHfS₃ (A = Ba, Sr) for light-emitting semiconductors: First-principles study.

-AIP Conference Proceedings. (2025).

A DFT investigation of Ti-substituted CaZrS₃ for tailored photovoltaic properties.

-Computational Materials Science. (2024).

A first-principles characterization of electronic and optical anisotropy of quasi-one-dimensional transition metal lead sulfides PbMS₃ (M = Hf, Zr).

– Physica B: Condensed Matter. (2023).

Large optical anisotropy in quasi-one-dimensional tantalum thallium chalcogenides TaTlX₃ (X = S, Se): A first-principles investigation.

– Materials Chemistry and Physics. (2023).