Assoc. Prof. Dr. Merve Senturk Acar | Engineering | Women Researcher Award
Assoc. Prof. Dr. Merve Senturk Acar | Engineering | Women Researcher Award
Bilecik Seyh Edebali University | Turkey
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Featured Publications
Multi-stage artificial neural network structure-based optimization of geothermal energy powered Kalina cycle
– Journal of Thermal Analysis and Calorimetry, 2020
The performance of vapor compression cooling system aided Ranque-Hilsch vortex tube
– Thermal Science, 2019
Energy and exergy analysis of solar energy-integrated geothermal Organic Rankine Cycle
– Journal of Thermal Analysis and Calorimetry, 2019
Performance analysis of a new hybrid cooling–drying system
– Environmental Progress & Sustainable Energy, 2018
Exergo-economic Evaluation of a new drying system Boosted by Ranque-Hilsch vortex tube
– Applied Thermal Engineering, 2017
Mr. Muhammad Umer Farooq | Engineering | Research Excellence Award
Mr. Muhammad Umer Farooq | Engineering | Research Excellence Award
Chungbuk National University | South Korea
Mr. Muhammad UmerApplied Sciences Farooq is a Mechanical Engineer and research-oriented professional specializing in machine design, fracture mechanics, experimental mechanics, and structural analysis, with strong expertise in fatigue behavior, finite element analysis, and automation systems. He has demonstrated practical engineering impact through industrial projects, including high-rise structural systems and innovative mechanical designs, alongside active research in fatigue resistance and material performance. His technical proficiency spans ANSYS, MATLAB, and CAD tools, supporting both analytical and experimental investigations. With 14 citations, 4 documents, and an h-index of 1, his growing research contributions.
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Featured Publications
– Sustainable Development
– Applied Sciences
Prof. Saad Aljlil | Engineering | Best Researcher Award
Prof. Saad Aljlil | Engineering | Best Researcher Award
Prof. Saad Aljlil | Chief Researcher | King Abdulaziz City for Science and Technology | Saudi Arabia
Prof. Elias Aifantis | Mechanics| Outstanding Scientist Award
Prof. Elias Aifantis | Mechanics | Outstanding Scientist Award
Prof. Elias Aifantis | Emeritus Professor | Aristotle University of Thessaloniki | Greece
Mr. Kiya Kefeni Benti | Civil Engineering | Best Researcher Award
Kiya Kefeni Benti | Civil Engineering | Best Researcher Award
PhD Scholar | University of Johannesburg | South Africa
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
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
🎓 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
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
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
IDRISS DAGAL | Electrical Engineering | Best Researcher Award
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
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.