Zahra Lakdawala | Machine Learning and AI Applications | Research Excellence Award

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Dr. Zahra Lakdawala | Machine Learning and AI Applications | Research Excellence Award

Fraunhofer IWES | Germany

Zahra Lakdawala is an accomplished industrial mathematician and Senior Research Scientist at Fraunhofer Institute for Wind Energy Systems, with extensive expertise in applied mathematics, computational fluid dynamics, and AI-driven modeling. She earned her Ph.D. from the Technical University of Kaiserslautern, focusing on multiscale filtration problems. Her research integrates numerical methods, physics-informed neural networks, and large-scale simulations for industrial and environmental applications, including groundwater management and wind energy. With strong academic, industry, and international research experience, she has contributed to advanced software development, interdisciplinary projects, and high-impact scientific publications.

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Pearl Asieduwaa Osei | Machine Learning and AI Applications | Research Excellence Award

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Ms. Pearl Asieduwaa Osei | Machine Learning and AI Applications | Research Excellence Award

University of Mines and Technology | Ghana

Pearl Asieduwaa Osei is a Ph.D. candidate in Mathematical Sciences at the University of Mines and Technology (UMaT), Tarkwa, Ghana. She holds a BSc in Pure Mathematics from the University for Development Studies, an MSc from the African Institute of Mathematical Sciences (AIMS-Ghana), and an MPhil in Applied Mathematics from Kwame Nkrumah University of Science and Technology. Her research focuses on data mining and the application of artificial intelligence in mineral processing. She has contributed to predictive modeling in gold cyanide leaching, developing optimized machine learning frameworks that enhance process efficiency, accuracy, and resource utilization in Ghana’s mining sector.

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Dr. Fidel Isheanesu Mugunzva | Artificial Intelligence | Research Excellence Award

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Dr. Fidel Isheanesu Mugunzva | Artificial Intelligence | Research Excellence Award

Zagatto Research Institute | Zimbabwe

Dr. Fidel I. Mugunzva is a dynamic scholar and research professional with over a decade of corporate experience, bridging industry practice with academic excellence. He holds a PhD in Management Studies from the University of South Africa, with research interests centered on artificial intelligence, AI ethics, entrepreneurship, and digital transformation. Currently serving as a Research Lead at Zagatto Research Institute, he has led impactful data-driven projects and strategic initiatives. Dr. Mugunzva has published in peer-reviewed journals, presented at international conferences, and contributed to higher education as a lecturer and research supervisor, demonstrating strong commitment to interdisciplinary research and innovation.

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Nasser Ahmed | Machine Learning Applications | Worldwide Excellence in Research Analytics Advancement Award

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National Research Institute of Astronomy and Geophysics | Egypt

Assist. Prof. Dr. Nasser Ahmed | Machine Learning Applications | Worldwide Excellence in Research Analytics Advancement Award

National Research Institute of Astronomy and Geophysics | Egypt

Assoc. Prof. Dr. Nasser Mohamed Ahmed is an accomplished astrophysicist at the National Research Institute of Astronomy and Geophysics (NRIAG), Egypt, with extensive expertise in computational astrophysics and X-ray astronomy. He earned his Ph.D. from the University of Groningen, focusing on simulations of cooling flows in galaxy clusters using advanced hydrodynamic modeling. His research spans plasma dynamics, galaxy formation, and data analysis using modern tools such as Python, FLASH, and X-ray observatories. Dr. Ahmed has contributed to numerous international projects, established computational facilities, and published widely in reputable journals, demonstrating significant impact in both theoretical and observational astronomy.

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Sun Vertical Depressions and Their Effects on the Morning Twilight Phases in Egypt
– Springer Proceedings in Physics, 2025