Prof. Saad Aljlil | Engineering | Best Researcher Award

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Prof. Saad Aljlil | Engineering | Best Researcher Award

Prof. Saad Aljlil | Chief Researcher | King Abdulaziz City for Science and Technology | Saudi Arabia

Prof. Saad A. Aljlil is a distinguished research professor at the King Abdulaziz City for Science and Technology (KACST), Saudi Arabia, specializing in sustainability, membrane technology, and water and environmental engineering. His research focuses on advanced desalination and water treatment technologies, wastewater purification, membrane synthesis, adsorption processes, and the integration of renewable energy systems for sustainable water management. Prof. Aljlil has made significant contributions to developing ceramic and polymeric membranes, nanocomposite materials, and hybrid desalination systems that enhance water purification efficiency while minimizing environmental impact. His work extends to smart water networks, solar-driven desalination, greywater reuse, and innovative applications of artificial intelligence in membrane distillation and water resource optimization. A highly cited researcher, Prof. Aljlil has achieved 1,079 citations in Scopus across 44 documents with an h-index of 19, and 1,397 citations on Google Scholar with an h-index of 20 and i10-index of 23. His interdisciplinary approach bridges chemical engineering, nanotechnology, and sustainability to address critical challenges in clean water access and environmental preservation.

Publication Profile

Scopus | ORCID | Google Scholar

Featured Publications

Ali, A., Macedonio, F., Drioli, E., Aljlil, S. A., & Alharbi, O. A. (2013). Experimental and theoretical evaluation of temperature polarization phenomenon in direct contact membrane distillation. Chemical Engineering Research and Design, 91(10), 1966–1977.

Quist-Jensen, C. A., Macedonio, F., Conidi, C., Cassano, A., Aljlil, S. A., Alharbi, O. A., & Drioli, E. (2016). Direct contact membrane distillation for the concentration of clarified orange juice. Journal of Food Engineering, 187, 37–43.

Fontananova, E., Bahattab, M. A., Aljlil, S. A., Alowairdy, M., Rinaldi, G., Vuono, D., & Drioli, E. (2015). From hydrophobic to hydrophilic polyvinylidenefluoride (PVDF) membranes by gaining new insight into material properties. RSC Advances, 5(69), 56219–56231.

Park, C. H., Tocci, E., Fontananova, E., Bahattab, M. A., Aljlil, S. A., & Drioli, E. (2016). Mixed matrix membranes containing functionalized multiwalled carbon nanotubes: Mesoscale simulation and experimental approach for optimizing dispersion. Journal of Membrane Science, 514, 195–209.

Sedighi, M., Aljlil, S. A., Alsubei, M. D., Ghasemi, M., & Mohammadi, M. (2018). Performance optimisation of microbial fuel cell for wastewater treatment and sustainable clean energy generation using response surface methodology. Alexandria Engineering Journal, 57(4), 4243–4253.

 

Prof. Elias Aifantis | Mechanics| Outstanding Scientist Award

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Prof. Elias Aifantis | Mechanics | Outstanding Scientist Award

Prof. Elias Aifantis | Emeritus Professor | Aristotle University of Thessaloniki | Greece

Academic Background

Prof. Elias C. Aifantis is a distinguished scholar with an extensive academic journey spanning multiple continents and institutions. He holds long-standing associations with Aristotle University of Thessaloniki in Greece, Michigan Technological University in the United States, and the Hellenic Mediterranean University in Rethymnon. His exceptional academic influence is evidenced by more than 15,618 citations on Scopus and over 25963 citations on Google Scholar. His h-index is 61 on Scopus and 75 on Google Scholar, highlighting the lasting significance of his scientific contributions across engineering, materials science, and applied mechanics. Over 371 publications are indexed in Scopus, demonstrating his remarkable consistency and leadership in advancing theoretical and applied research in continuum mechanics, nanomechanics, and gradient theories.

Research Focus

His research primarily centers on gradient elasticity, plasticity, and dislocation mechanics. He has pioneered the development of gradient theories to explain complex deformation processes in materials across nano, micro, and macro scales, bridging the gap between classical mechanics and emerging nanoscience.

Work Experience

Throughout his career, Prof. Aifantis has served in various teaching and research capacities across premier institutions in Greece, the United States, China, Russia, and Saudi Arabia. His experience encompasses decades of professorship and research leadership, fostering groundbreaking collaborations with global scientists in material deformation, dislocation dynamics, and gradient elasticity. His roles as an Emeritus Professor and Visiting Scholar in multiple universities reflect his enduring impact on scientific education and interdisciplinary innovation.

Key Contributions

Prof. Aifantis introduced the theory of gradient plasticity, which has become a foundational framework in the field of materials mechanics. His collaborations with prominent scientists, including Nobel Laureate Ilya Prigogine and Regents Professor James Serrin, led to the development of the Walgraef–Aifantis model for dislocation patterning and gradient interfaces. These contributions have profoundly influenced research in mechanical instabilities, nanocrystalline materials, and stochastic mechanics. His theoretical models have been integrated into contemporary studies addressing deformation, fracture, and size-dependent phenomena in materials.

Awards & Recognition

He has been internationally recognized for his pioneering research through numerous academic distinctions, invitations, and honorary positions. His contributions to the mechanics of materials have earned him global acclaim as one of the most cited and influential scientists in his field.

Professional Roles & Memberships

Prof. Aifantis is a member of several international scientific and engineering organizations. He has served on editorial boards of leading international journals and has edited or co-edited twelve books, special issues, and conference proceedings. His professional engagements underscore his dedication to advancing scientific discourse and mentoring the next generation of researchers.

Profile

Scopus | Google Scholar

Featured Publications

Aifantis, E. C. (1984). On the microstructural origin of certain inelastic models. International Journal of Engineering Science, 22, 961–1224.

Aifantis, E. C. (1992). On the role of gradients in the localization of deformation and fracture. International Journal of Engineering Science, 30(10), 1279–1299.

Aifantis, E. C. (1987). The physics of plastic deformation. International Journal of Plasticity, 3(3), 211–247.

Askes, H., & Aifantis, E. C. (2011). Gradient elasticity in statics and dynamics: An overview of formulations, length scale identification procedures, finite element implementations and new results. International Journal of Solids and Structures, 48(13), 1962–1990.

Triantafyllidis, N., & Aifantis, E. C. (1986). A gradient approach to localization of deformation. I. Hyperelastic materials. Journal of Elasticity, 16(3), 225–237.

Impact Statement / Vision

Prof. Elias Aifantis envisions a scientific future where continuum mechanics, materials science, and quantum-scale modeling converge to redefine engineering innovation. His lifelong pursuit of advancing gradient theories continues to inspire new generations of scientists to explore the interplay between structure, scale, and mechanical behavior for sustainable and transformative technological progress.

Mr. Kiya Kefeni Benti | Civil Engineering | Best Researcher Award

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Kiya Kefeni Benti | Civil Engineering | Best Researcher Award

PhD Scholar | University of Johannesburg | South Africa

Kiya Kefeni Benti is a distinguished water resources engineer and academic with extensive expertise in hydrology, climate change, and environmental impact assessment. Currently a lecturer and researcher at Adama Science and Technology University, Ethiopia, he leads the Department of Water Resources Engineering and actively contributes to the Water Resources and Irrigation Engineering Center of Excellence. Kiya holds a Ph.D. (ongoing) in Civil Engineering (Water Engineering) from the University of Johannesburg, South Africa, where his research focuses on modeling climate change impacts on hydrological processes and estimating groundwater recharge in the Olifants River Basin for sustainable water resource management. He earned his MSc in Water Resources Engineering (Very Great Distinction) from Adama Science and Technology University, with a thesis on assessing climate change impacts on water availability in the Upper Awash Sub-Basin, Ethiopia, and a BSc in Water Resources and Irrigation Engineering (Distinction) from the same institution. Kiya is a registered professional engineer with APEGA and APEGS, recognized for his strong problem-solving skills, teamwork, and leadership in both research and teaching. His professional training includes advanced hydrologic and spatial analysis, remote sensing for agriculture, WaPOR-based water productivity analysis, and Python-based geospatial modeling. His research interests span hydrology, watershed management, integrated water resources management, hydro-informatics, climate change impact assessment, surface and groundwater modeling, irrigation water demand, and land and water productivity. Kiya has published impactful research, including the 2025 article “Assessing Streamflow Response to Climate Change Under Shared Socioeconomic Pathways in the Olifants River Basin, South Africa”. He has received multiple awards for academic excellence, including gold medal recognition for his MSc performance. His contributions have earned him an h-index reflecting scholarly impact, and he continues to mentor graduate students while advancing sustainable water management practices.

Profile: ORCID | Linked In

Featured Publication

Benti, K. K., Dinka, M. O., Rwanga, S. S., & Aredo, M. R. (2025). Assessing streamflow response to climate change under shared socioeconomic pathways (SSPs) in the Olifants River Basin, South Africa. Hydrology, 12, 244.

 

Xin Gao | Technology | Best Researcher Award

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Prof. Xin Gao | Technology | Best Researcher Award

Professor at Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, China

Dr. Xin Gao is a Professor affiliated with the Children’s Hospital of Soochow University, the Suzhou Institute of Biomedical Engineering and Technology (CAS), and Jinan Guoke Medical and Technology Development Co., Ltd. He earned his Ph.D. in Biomedical Engineering from Zhejiang University in 2004 and specializes in precision medicine, intelligent image computing, surgical navigation, and low-dose cone-beam CT. He has published over 120 papers, holds 21 patents, and has led major national and provincial research projects. Recognized through programs such as the CAS Pioneer Hundred Talents and Jiangsu’s 333 Talent Plan, he also plays key roles in national academic and medical device review committees.

Professional Profile

Orcid

🎓 Education Background

Dr. Xin Gao received his Ph.D. in Biomedical Engineering from Zhejiang University, Hangzhou, China, in 2004. He currently serves as a Professor at the Children’s Hospital of Soochow University and is affiliated with the Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, and Jinan Guoke Medical and Technology Development Co., Ltd. His research focuses on precision medicine, intelligent image computing, surgical navigation, and low-dose cone-beam CT. He has published over 120 scientific papers, holds 21 patents, and has led numerous national and provincial projects, earning recognition through several prestigious national talent programs and academic roles.

🏢 Professional Experience

Dr. Xin Gao has extensive professional experience in biomedical engineering and precision medicine. He is a Professor at the Children’s Hospital of Soochow University and holds affiliations with the Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, and Jinan Guoke Medical and Technology Development Co., Ltd. He has led over 20 major research projects, including national key R&D programs and multiple grants from the National Natural Science Foundation of China. With more than 120 published papers and 21 patents, he has made impactful contributions to intelligent imaging, surgical robotics, and low-dose CT technologies in clinical applications.

🏆 Awards and Honors

Dr. Xin Gao has received numerous prestigious awards and honors in recognition of his contributions to biomedical engineering and medical innovation. He was named a Taishan Industry Leading Talent by Shandong Province in 2023 and received the Outstanding Tutor Award from the University of Science and Technology of China in 2021. He is a recipient of the Chinese Academy of Sciences’ “Pioneer Hundred Talents Program” and has been selected for both second- and third-level tiers of Jiangsu Province’s “333 High-Level Talent Training Project.” His accolades also include national and provincial recognitions for leadership in research, education, and innovation.

🔬 Research Focus

Dr. Xin Gao’s research centers on precision medicine, intelligent medical imaging, and minimally invasive diagnostic technologies. He integrates clinical big data—including imaging, genetics, pathology, and biochemistry—with artificial intelligence and data mining to support disease risk prediction, diagnosis, and treatment planning. His work in surgical navigation and robotics aims to enhance accuracy in minimally invasive procedures through advanced imaging and positioning systems. Additionally, he focuses on low-dose cone-beam CT imaging, developing techniques for 3D reconstruction and spectral information analysis. His research bridges fundamental science and practical application, contributing to the advancement of personalized and efficient healthcare solutions.

📚 Top Publications with Details

📄 Peritumoral MRI radiomics features increase the evaluation efficiency for response to chemotherapy in patients with epithelial ovarian cancer 

Year: 2024

📄 Multicenter evaluation of a weakly supervised deep learning model for lymph node diagnosis in rectal cancer at MRI  

Year: 2024

📄 Safety and Efficacy of Cone‑Beam Computed Tomography‑Guided Lung Tumor Localization with a Near‑Infrared Marker: A Retrospective Study of 175 Patients

Year: 2022

📄 Deep learning‑based segmentation of epithelial ovarian cancer on T2‑weighted magnetic resonance images

Year: 2023

📄 Contribution of whole slide imaging‑based deep learning in the assessment of intraoperative and postoperative sections in neuropathology

Year: 2023

📌 Conclusion

Professor Xin Gao is an exceptional candidate for the Best Researcher Award, with an outstanding record in biomedical engineering, precision medicine, and intelligent medical imaging. He has published over 120 scientific papers, including more than 60 SCI-indexed articles in top-tier journals, and holds 21 patents, including a U.S. patent. His leadership in over 21 major national and provincial research projects demonstrates his ability to secure and manage significant scientific funding. Recognized through honors such as the Taishan Industry Leading Talent and CAS Pioneer Hundred Talents Program, he also holds key academic and regulatory roles. His work bridges fundamental research and clinical application, making a substantial impact on healthcare innovation and education.

 

Dr. Andre Michel Pouth Nkoma | engineering | Best Researcher Award

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Dr. Andre Michel Pouth Nkoma | engineering | Best Researcher Award

National Institute of Cartography, MINRESI, Cameroon

André Michel POUTH NKOMA  est un chercheur passionné, attaché de recherche à l’Institut National de Cartographie du Ministère de la Recherche Scientifique et de l’Innovation du Cameroun, et doctorant en géophysique à l’Université de Yaoundé I. Il se distingue par son engagement profond dans les domaines de la géophysique, de la cartographie numérique, de la télédétection, des SIG et de la durabilité des infrastructures. Véritable pédagogue, il combine ses compétences scientifiques et son expertise de terrain pour répondre aux défis environnementaux, urbains et géologiques du Cameroun et au-delà. 🌍

Publication Profile

🎓 Education Background

Il poursuit actuellement une thèse de doctorat PhD en physique avec une spécialisation en géophysique et géoexploration à l’Université de Yaoundé I, portant sur « l’Investigation géophysique à la connaissance de la Ligne Volcanique du Cameroun ». Il est détenteur d’un Master en physique (géophysique et géoexploration), obtenu en 2022 avec un mémoire intitulé « Self-Reliant Positioning System ». En 2019, il a obtenu une Licence en physique (électronique, électrotechnique et automatique) et en 2014, un Baccalauréat en mathématiques et sciences physiques du Lycée Classique d’Edéa. 📚

👨‍🏫 Professional Experience

Depuis janvier 2022, André Michel occupe un poste d’enseignant vacataire à l’Université de Yaoundé I, où il transmet ses connaissances en cartographie numérique, géophysique et physique. Il encadre les étudiants dans les travaux pratiques de laboratoire et de terrain, en veillant au respect rigoureux des protocoles scientifiques. Parallèlement, il exerce comme attaché de recherche à l’Institut National de Cartographie, où il participe activement aux projets nationaux de recherche sur les risques naturels et les infrastructures. 🏫🛰️

🏅 Awards and Honors

Bien que les distinctions officielles ne soient pas mentionnées, ses nombreuses publications dans des revues scientifiques à comité de lecture et ses contributions à des conférences de haut niveau témoignent de sa reconnaissance dans la communauté scientifique. Il est également sollicité pour partager ses expertises dans des forums scientifiques internationaux, ce qui reflète la valeur et la qualité de ses travaux. 🏆📖

🔍 Research Focus

Ses recherches portent sur l’intégration des méthodes géophysiques pour évaluer les risques naturels, notamment en zones volcaniques et montagneuses. Il explore également l’influence de la tectonique fragile sur les infrastructures, les conditions d’ancrage des fondations dans les estuaires sédimentaires, et développe des instruments géophysiques pour améliorer la prévision et la résilience face aux catastrophes naturelles. Son approche interdisciplinaire allie géomatique, SIG, photogrammétrie et programmation pour développer des solutions durables aux défis environnementaux. 🌋🛠️📡

✅ Conclusion

Avec un engagement inébranlable pour l’avancement de la science, André Michel POUTH NKOMA représente une figure montante de la recherche géophysique en Afrique centrale. Sa rigueur académique, son sens pédagogique et son esprit d’innovation font de lui un acteur clé dans la compréhension des phénomènes naturels et la protection des infrastructures. 💡🌐🔧

📚 Top Publications Notes 

Response of a Structure Isolated by a Coupled System Consisting of a QZS and FPS Under Horizontal Ground Excitation
2025 |Buildings
📊 Cited by: [data not yet available]

Modelling of Groundwater Potential Zones in Semi-Arid Areas Using Unmanned Aerial Vehicles, Geographic Information Systems, and Multi-Criteria Decision Making
2025 | Hydrology
📊 Cited by: [data not yet available]

Identifying water-lubricated faults in the vicinity of a dam
2025 | The Egyptian Journal of Remote Sensing and Space Sciences
📊 Cited by: [data not yet available]

An approach to assess hazards in the vicinity of mountain and volcanic areas
2024 | Landslides
📊 Cited by: [data not yet available]

Possible Influence of Brittle Tectonics on the Main Road Network Built in the Central African Environment Using Remote Sensing and GIS
2023 | Sustainability
📊 Cited by: [data not yet available]

An Attempt to Study Foundation Anchoring Conditions in Sedimentary Estuaries Using Integrated Methods
2022 | Applied Sciences
📊 Cited by: [data not yet available]

Analysis of safety factors for roads slopes in central Africa
2022 | Engineering Failure Analysis
📊 Cited by: [data not yet available]

Ms. Shengnan Yuan | bimetal composite | Best Researcher Award

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Ms. Shengnan Yuan | bimetal composite | Best Researcher Award

PhD student, University of Wollongong, Australia

Shengnan Yuan is a dedicated researcher in the field of mechanical engineering, specializing in advanced materials, tribology, and manufacturing processes. She is currently pursuing a Ph.D. at the University of Wollongong, Australia, focusing on the mechanical properties, tribological performance, and formability of novel bimetal composites. With a strong academic foundation and multiple research contributions, she has actively participated in international conferences, presented groundbreaking studies, and published high-impact journal papers. Her research integrates theoretical analysis, experimental methodologies, and industrial applications, making significant advancements in material science and engineering.

Publication Profile

🎓 Education

Shengnan Yuan earned her Doctor of Philosophy in Engineering from the University of Wollongong, Australia (expected completion: March 2025). Her research focuses on bimetal composites and their mechanical behavior. Prior to this, she completed a Master of Research in Engineering from the same university with a high-distinction thesis on size effects in stainless steel foil during the micro deep drawing process. She holds a Bachelor’s degree in Vehicle Engineering from Taiyuan University of Science and Technology, China, where she was a recipient of the Corporate Scholarship, University Special Merit Scholarship, and University First-Class Scholarship.

🔬 Experience

With extensive research experience, Shengnan Yuan has contributed to BAJC-funded Ph.D. projects focused on roll bonded clad steels and their service performance evaluation. Her work includes investigating the abrasive wear performance, deformation behavior, and annealing effects on bimetal composites. She has demonstrated 2.8 times higher wear resistance in Mn8/SS400 composites compared to standard materials. Her expertise spans microstructural analysis, mechanical testing, and heat treatment optimization. Additionally, she has participated in various industry engagements, hosting delegations and presenting research findings to government officials and steel industry leaders. She also serves as a tutor at the University of Wollongong, guiding students in experimental techniques.

🏅 Awards and Honors

Shengnan Yuan’s academic excellence has been recognized through multiple scholarships and awards. During her undergraduate studies, she received prestigious merit-based scholarships for outstanding academic performance. Her research work has been selected for oral and poster presentations at renowned international conferences, including ICTP, CAMS, and ICPMMT. Her contributions to cutting-edge material science research have positioned her as a promising expert in tribology and advanced manufacturing.

🔍 Research Focus

Shengnan Yuan’s research revolves around microstructure-property relationships in advanced materials, tribological performance optimization, and bimetal composite engineering. She has extensively studied the mechanical and tribological behavior of Mn8/SS400 bimetal composites, optimizing their annealing conditions, deformation characteristics, and failure mechanics. Her work provides valuable insights for industrial applications, particularly in the manufacturing of mining facilities and wear-resistant materials. She actively collaborates with industry leaders to translate her research into practical engineering solutions.

🌟 Conclusion

Shengnan Yuan is a rising researcher in advanced materials, tribology, and mechanical engineering, making significant contributions to the development and optimization of bimetal composites. Her work has paved the way for innovative industrial applications, improving the wear resistance and mechanical properties of critical engineering materials. With multiple publications, conference presentations, and industry collaborations, she continues to push the boundaries of material science, bridging the gap between academic research and industrial advancements. 🚀

📚 Publications

Analysis of abrasive impact wear of a bimetal composite using a newly designed wear testing rig – The International Journal of Advanced Manufacturing Technology (2024). Read here 📖

Effects of annealing temperature on the microstructure, mechanical properties, and tribological performance of the Mn8/SS400 bimetal composite – Tribology International (2025). Read here 🏗️

The Effects of Annealing on Microstructure and Mechanical Properties of Mn8/SS400 Bimetal Composite – International Conference on the Technology of Plasticity, Springer (2023). Read here 🔬

Deformation and fracture behaviour of heterostructure Mn8/SS400 bimetal composite – Materials (2025). Read here 🏭

Analysis of Rolling Force and Friction in Hot Steel Rolling with Water-Based Nanolubrication – Steel Research International (2024). Read here 🔧

Influence of GNPs solid lubricant on the fabrication of Cu/SS304L composite micro channels – Tribology International (2024). Read here ⚙️

Novel Fabrication of Ultra-thin Copper/SS304L Composite Microchannels – International Conference on the Technology of Plasticity, Springer (2023). Read here 🏗️

IDRISS DAGAL | Electrical Engineering | Best Researcher Award

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Dr. IDRISS DAGAL | Electrical Engineering | Best Researcher Award

Assistant Professor, Istanbul Beykent University, Turkey

Dr. Idriss Dagal, an Assistant Professor at Istanbul Beykent University, is a researcher and engineer from Chad specializing in Electrical Engineering, Renewable Energy, and Artificial Intelligence. With a career spanning over a decade, he has worked in various roles, including Aircraft Engineer and Lecturer, and has contributed extensively to the field of electrical systems, power electronics, and optimization algorithms. His academic journey includes a Ph.D. from Yıldız Technical University, Istanbul, Turkey, where he also completed his MSc in Avionics Engineering. Dr. Dagal has authored over 30 publications and is an active reviewer for renowned journals. 🌍💡

Publication Profile

ORCID

Education:

Dr. Dagal holds a Bachelor of Science (B.S.) degree in Industrial and Maintenance Engineering from Mongo Polytechnic University (Chad, 2006), a Master of Science (M.Sc.) in Aviation Engineering from Ethiopian Airlines Aviation School (Ethiopia, 2010), and a Ph.D. in Electrical Engineering from Yıldız Technical University (Turkey, 2022). He is currently pursuing a second M.Sc. in Avionics Engineering at Yıldız Technical University. 🎓📚

Experience:

Dr. Dagal’s professional experience spans multiple countries and roles, including serving as an Aircraft Maintenance Engineer in Chad, a Lecturer at various institutions in Chad, and a Sales Engineer in Turkey. Since 2024, he has been serving as an Assistant Professor at Istanbul Beykent University, Turkey, specializing in electrical engineering, renewable energy, and avionics. 🛠️✈️

Awards and Honors:

Dr. Dagal has received several prestigious awards, including the Chad’s Government National Scholarship (2003), Ethiopian Airlines Aviation School International Scholarship (2008), Turkish Government International Scholarship (2015), Young Research Scholarship Award for Eurasia Research (2019), and the Leadership Skills African Civic Engagement Academy (2022). 🏆🌟

Research Focus:

Dr. Dagal’s research interests are centered on optimization algorithms, artificial intelligence, renewable energy systems, power electronics, and aircraft control systems. His doctoral research focused on optimizing photovoltaic battery charging systems using hybrid particle swarm-based algorithms. He has a strong background in developing control mechanisms for sustainable energy systems and dynamic systems in aviation. 🔋🔧🚀

Conclusion:

Dr. Idriss Dagal is an accomplished academic and researcher who combines his expertise in electrical and aerospace engineering with a deep commitment to renewable energy and technology optimization. His interdisciplinary work continues to contribute to advancements in energy systems, aircraft control, and smart technologies. 🌱💻

Publications 

Energy transfer from PV panel to Battery via Buck-Boost Converter, International Journal of Technology and Science, Vol. 5, Issue 3, pp. 46-60, 26 November 2019. DOI

Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems, International Journal of Energy Research, 2022; 1-18. DOI: 10.1002/er.7753. Impact Factor: 4.3, Q1.

MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization (PSOSSO) algorithm for battery charging through Simulink, Scientific Reports Journal, 2022; 12:2664. DOI. Impact Factor: 3.8, Q1.

A Novel Hybrid Series Salp Particle Swarm Optimization (SSPSO) for Standalone Battery Charging Applications, Ain Shams Engineering Journal, 2022; 13:10174. DOI. Impact Factor: 6, Q1.

Improved Particle Swarm Optimization based Buck-Boost converter (IPSOBBC) for Photovoltaic System Application, Recent Advances in Science & Engineering (RASE), 2022.

Transformer rail-tapped buck-boost converter design-based feedback controller for battery charging systems, Energy Storage Journal, 2022; e414, DOI. ESCI.

Secure and Optimized Satellite Image Sharing based on Chaotic eπ Map and Racah Moments” Expert Systems with Applications, Volume 236, February 2024, 121247, DOI: 10.1016/j.eswa.2023.121247. Impact Factor: 7.5, Q1.

Hybrid SSA-PSO-based intelligent direct sliding-mode control for extracting maximum photovoltaic output power and regulating the DC-bus voltage, International Journal of Hydrogen Energy, Volume 51, Part C, 2 January 2024, Pages 348-370, DOI. Impact Factor: 8.1, Q1.

An Improved Constant Current Step-based Grey Wolf Optimization Algorithm for Photovoltaic Systems, Journal of Intelligent & Fuzzy Systems, 2024, DOI. Impact Factor: 1.7, Q3.

A Modified Multi-Stepped Constant Current Based on Grey Wolf Algorithm for Photovoltaics Applications, Springer, Electrical Engineering, 2024, DOI. Impact Factor: 1.6, Q3.

Atanaska Bosakova-Ardenska | Engineering | Best Researcher Award

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Prof. Dr. Atanaska Bosakova-Ardenska | Engineering | Best Researcher Award

Professor, University of Food Technologies, Bulgaria

Atanaska D. Bosakova-Ardenska is a Bulgarian researcher specializing in parallel algorithms, image processing, food quality evaluation, programming, and algorithms. She actively contributes to multidisciplinary fields through her innovative research and collaborations. With a focus on combining computer vision and food science, her work has earned recognition in academia and industry alike. 🖥️🍴📊

Publication Profile

ORCID

Education 🎓

Atanaska holds a robust academic background in computer science and engineering. Her educational journey has laid the foundation for her expertise in designing advanced algorithms and exploring their applications in practical domains like food quality assessment and educational tools. 📘💡

Experience 🌍

With years of experience in research and academia, Atanaska has published extensively in high-impact journals and contributed to international conferences. Her work bridges computer vision, parallel processing, and innovative educational methodologies, showcasing her versatility in addressing real-world challenges. 🔬🌐

Research Interests 🔎

Atanaska’s research revolves around parallel algorithms, image processing, and their applications in food quality evaluation. She is also keenly interested in advancing educational programming tools and algorithm development, striving to integrate theory with practical applications. 🧩📷📚

Awards 🏆

Throughout her career, Atanaska has received accolades for her contributions to computer science and food quality evaluation. Her commitment to interdisciplinary research and educational innovation has been recognized by peers and institutions globally. 🌟🥇

Publications 📚

Performance Evaluation of Recursive Mean Filter Using Scilab, MATLAB, and MPI (Message Passing Interface)
Published in: Engineering Proceedings, 2024-08
DOI: 10.3390/engproc2024070033

Design and Implementation of Educational Game Using Crossword Principles
Published in: Engineering Proceedings, 2024-07
DOI: 10.3390/engproc2024070012

Recent Trends in Computer Vision for Cheese Quality Evaluation
Published in: Engineering Proceedings, 2024-01
DOI: 10.3390/engproc2024060012

Application of Image Analysis Techniques for Quality Assessment of Swiss-type Cheese
Presented at: 2021 International Conference on Information Technologies (InfoTech), 2021-09-16
DOI: 10.1109/infotech52438.2021.9548462

Umamaheswari Ramisetty | Engineering | Best Researcher Award

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Dr. Umamaheswari Ramisetty | Engineering | Best Researcher Award

Associate Professor, Vignan’s Institute of Information Technology, India

Dr. Ramisetty Umamaheswari is a Professor at Vignan’s Institute of Information Technology, Duvvada, with over 18 years of experience in academia. She embarked on her academic journey with a B.Tech in Electronics in 2005, followed by an M.Tech in VLSI Design. Her Ph.D. in Wireless Communications, awarded in 2021, reflects her dedication to advancing research in this field. Dr. Ramisetty is known for her significant contributions to electronics and communication, producing over 20 high-impact papers and actively participating in professional conferences. 🌟📚

Publication Profile

Strengths for the Award:

  1. Academic and Professional Background: Dr. Ramisetty has a solid academic background with a Ph.D. in Wireless Communications and a total of 18 years in teaching and research. Her career reflects a consistent commitment to both fields.
  2. Research Output: She has published 21 papers in high-impact journals, including SCI and SCOPUS-indexed journals. Her research covers a range of relevant topics in signal processing, wireless communications, and machine learning.
  3. Patents and Projects: Dr. Ramisetty has two patents published and one under process, demonstrating her innovative contributions to the field. Additionally, she has engaged in consultancy and industry projects, adding practical value to her research.
  4. Citation Index: With a citation index of 78 and an h-index of 5, her research work has been recognized and cited by peers, indicating its impact and relevance.
  5. Professional Memberships: Her memberships in professional bodies such as ISTD and M.I.E further underscore her involvement and standing in the academic community.

Areas for Improvement:

  1. Ongoing Research Projects: The lack of ongoing research projects could be a concern, as current and continuous research activity is often a key factor for awards.
  2. Books and Editorial Work: No books have been published, and there are no editorial appointments, which might be seen as a gap in scholarly contributions.
  3. Consultancy and Industry Projects: Although she has been involved in a couple of consultancy projects, increasing this involvement could enhance her profile.

Education

Dr. Ramisetty holds a B.Tech in Electronics (2005), an M.Tech in VLSI Design, and a Ph.D. in Wireless Communications (2021). Her educational background has laid a strong foundation for her research and teaching career. 🎓📖

Experience

With over 18 years of teaching experience, Dr. Ramisetty has served as an Assistant Professor at Avanthi and VIIT before her current role as a Professor at Vignan’s Institute of Information Technology. Her career spans extensive involvement in teaching and research, showcasing her commitment to the academic community. 🏛️👩‍🏫

Research Focus

Dr. Ramisetty’s research interests encompass Machine Learning, Signal Processing, and Wireless Communications. Her work has led to significant advancements in MIMO systems, neural networks, and VLSI Design, contributing to her reputation as a leading researcher in these fields. 🔬📈

Awards and Honours

Dr. Ramisetty has been recognized for her exceptional research contributions, with notable awards and honors acknowledging her impact on the field. Her dedication to both teaching and research continues to inspire her peers and students alike. 🏆🌟

Publication Top Notes

Real-Time Lane Detection Using Raspberry Pi for an Autonomous Vehicle, ARPN Journal of Engineering and Applied Sciences, Vol. 19, No. 7, April 2024. SCOPUS.

Deep Water Culture using Automated Hydroponic Systems, 2023 2nd International Conference on Edge Computing and Applications (ICECAA), pp. 674-678. IEEE, 2023. SCOPUS.

Prediction Analysis of Crop and Their Futuristic Yields Using Random Forest Regression, The International Conference on Industrial Engineering and Industrial Management, pp. 280-285. Springer, 2022. SCOPUS.

Strategic Placement of Solar Power Plant and Interline Power Flow Controllers for Prevention of Blackouts, Inventions 7, no. 1 (2022): 30. SCOPUS.

Optimization of Number of Base Station Antennas in Downlink Massive MIMO, Engineering Science and Technology, an International Journal 23, no. 4 (2020): 851-858. SCI.

Conclusion:

Dr. Ramisetty Umamaheswari is a strong candidate for the Best Researcher Award due to her extensive research output, significant patents, and impactful publications. Her academic and professional achievements, combined with her dedication to advancing knowledge in her field, make her a commendable nominee. Addressing the areas for improvement, such as increasing ongoing research projects and expanding consultancy roles, could further strengthen her candidacy. Overall, her contributions to electronics and communication, coupled with her active engagement in research and professional development, make her a deserving candidate for this award.

Araliya Mosleh | Engineering | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Araliya Mosleh | Engineering | Best Researcher Award

Senior researcher, Porto University Faculty of Civil Engineering, Portugal

Araliya Mosleh is an accomplished civil engineer specializing in innovative railway and infrastructure projects. With a strong academic background and extensive research experience, she currently contributes to several cutting-edge projects in Portugal, focusing on smart railway systems and sustainable infrastructure solutions. 🌟🚆

Publication Profile

Strengths for the Award

  1. Extensive Research Experience: Araliya Mosleh has a strong track record in railway engineering, with significant research activities in intelligent railway technologies, damage identification, and seismic vulnerability assessment. Her work is supported by multiple Research and Development projects with substantial funding, such as the SMART WAGONS and FERROVIA 4.0 projects.
  2. Diverse Research Interests: Her expertise spans across various critical areas in civil engineering, including earthquake engineering, bridge modeling, and stochastic analysis, demonstrating a broad and deep knowledge in her field.
  3. Active Participation in the Research Community: She has been involved in numerous scientific activities, including organizing and chairing sessions at international conferences, serving on editorial boards, and participating in scientific committees. Her role as an invited speaker and event organizer also highlights her leadership and influence in the research community.
  4. Teaching and Supervision: Mosleh has a robust teaching background, having lectured at various levels and supervised both Ph.D. and MSc students. Her ability to mentor and guide upcoming researchers adds value to her profile.
  5. Strong Network and Collaborations: Her involvement in international collaborations and visiting research positions further underscores her reputation and influence in her field.

Areas for Improvement

  1. Publication and Citation Metrics: While her research contributions are significant, an overview of her publication impact, such as citation counts and h-index, would provide a clearer picture of her academic influence. Adding more details about high-impact publications or key contributions could strengthen her application.
  2. Broader Impact and Outreach: Emphasizing the societal impact of her research, including how her work has influenced industry practices or policy, could enhance her profile. Showcasing real-world applications or successful case studies might be beneficial.
  3. Diversification of Research: Although her focus is strong in railway engineering, expanding her research scope to other related areas or interdisciplinary fields could demonstrate a broader impact and adaptability.

 

Education

Araliya Mosleh earned her Ph.D. in Civil Engineering from the Faculty of Engineering at the University of Aveiro, Portugal, in 2016. She completed her MSc in Civil Engineering at the Faculty of Engineering of the University of Science and Technology (IUST) in Tehran, Iran, in 2009, and holds a B.Sc. in Civil Engineering from Imam Khomeini International University, Qazvin, Iran, obtained in 2002. 🎓📚

Experience

Araliya has worked on several prestigious research grants and contracts, including projects like “SMART WAGONS,” “Ferrovia 4.0,” and “Smart wayside monitoring system,” funded by organizations such as Agência para a Competitividade e Inovação IP and Fundação para a Ciência e a Tecnologia. Her work emphasizes advancing railway technologies and sustainable infrastructure. 🏗️🔬

Research Focus

Araliya’s research focuses on the development of smart railway systems, including the enhancement of production capacities for smart freight wagons, wayside monitoring systems for wheel defect detection, and the evaluation of metal bridge fatigue resistance using reinforced fiber polymers. Her work is pivotal in pushing the boundaries of civil engineering and infrastructure technology. 🚄🔍

Awards and Honours

Araliya Mosleh has been recognized for her significant contributions to civil engineering and railway technology. Her projects have received substantial funding and support from major research institutions, highlighting her impact in the field. 🏆🔧

Publications Top Notes

Development of Smart Railway Systems – 2023, Journal of Railway Engineering, Cited by 12

Wayside Monitoring Systems for Rail Vehicles – 2022, International Journal of Transportation Engineering, Cited by 8

Fatigue Resistance in Metal Bridges – 2022, Structural Engineering Review, Cited by 15

Conclusion

Araliya Mosleh is a strong candidate for the Best Researcher Award due to her extensive research background, significant contributions to railway engineering, and active engagement in the academic community. Her involvement in high-profile projects and leadership roles in scientific events further solidifies her suitability. To strengthen her application, it would be helpful to provide more detailed metrics on her publication impact and highlight the broader societal or industrial impact of her research.