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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Prof. Mingming Leng | Supply Chain Analytics | Best Researcher Award

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Prof. Mingming Leng | Supply Chain Analytics | Best Researcher Award

Lingnan University | Hong Kong

Dr. Mingming Leng is a distinguished Chair Professor of Operations and Risk Management and Dean of the Faculty of Business at Lingnan University, Hong Kong. Holding a PhD from McMaster University, he has demonstrated excellence in research, teaching, and academic leadership. His expertise spans game theory, supply chain management, and decision sciences, with numerous publications in top-tier journals. Dr. Leng has secured substantial research funding and received multiple prestigious awards, including  Dean of the Year by Beta Gamma Sigma. His contributions significantly advance business analytics, operations research, and global academic development.

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Prof. Dr. Xinfeng Zhang | Engineering | Research Excellence Award

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Prof. Dr. Xinfeng Zhang | Engineering | Research Excellence Award

Chang'an University | China

Prof. Dr. Xinfeng Zhang is a distinguished academic leader and Dean at the Chang’an University, specializing in autonomous driving, intelligent transportation systems, and new energy vehicles. Holding a PhD in Mechanical Engineering, he has extensive international experience as a visiting scholar at leading institutions. His research focuses on connected automated vehicles, AI-driven transportation, and vehicle reliability. Professor Zhang has led multiple high-impact funded projects and published extensively in top journals. Recognized with prestigious innovation awards, he is an active member of major professional societies and contributes significantly to advancing intelligent mobility and sustainable transportation technologies.

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232

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Dr. John Robinson | Engineering | Research Excellence Award

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Dr. John Robinson | Engineering | Research Excellence Award

University of Wolverhampton | United Kingdom

Dr. John Robinson is an accomplished leader in engineering research and commercialization, with over Fifteen years of experience advancing materials and manufacturing technologies. Currently serving at the University of Wolverhampton, he specializes in additive manufacturing, leading innovative projects and managing high-impact collaborations. He is the Founding Director of Additive Analytics Ltd, focusing on bridging research and industry through data-driven solutions. Dr. Robinson completed his PhD and has authored over 50 publications with significant citations. His work includes patented innovations and award-winning research, notably recognized for its societal impact during the COVID-19 pandemic.

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Fisayo Fagbemi | Government and Public Policy Analysis | Research Excellence Award

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Mr. Fisayo Fagbemi | Government and Public Policy Analysis | Research Excellence Award

National Institute for Legislative and Democratic Studies, Abuja, Nigeria | Nigeria

Mr.Fisayo Fagbemi is a passionate and accomplished economist with strong expertise in research, data analysis, and public policy development. He holds an M.Sc. and B.Sc. in Economics from Obafemi Awolowo University, Nigeria, and has built a distinguished academic profile with numerous international publications focusing on governance, climate change, financial development, and sustainable growth in Sub-Saharan Africa. He has served as a research fellow across reputable institutions and contributed to policy advisory and academic development. Known for his analytical proficiency and commitment to impactful research, Fagbemi continues to advance evidence-based solutions for economic and social development.

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28

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Ali Altowilib | Engineering | Research Excellence Award

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Mr. Ali Altowilib | Engineering | Research Excellence Award

King Abdullah University of Science and Technology (KAUST) | Saudi Arabia

Mr. Ali Altowilib is a PhD candidate in Energy Resources and Petroleum Engineering at KAUST, Saudi Arabia, with a strong background in reservoir engineering and fluid analysis. He previously served as a Black Oil Team Leader at Saudi Aramco, where he delivered over 250 PVT studies and 200 fluid composition analyses, contributing to production optimization and reservoir management. Ali holds an MSc from KFUPM and a BSc from Louisiana State University. His research focuses on energy systems, sustainability, and reservoir characterization, supported by multiple SPE publications. He is also an active leader, educator, and advocate for innovation and professional development.

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Dr .Rie Nakayama | Diagnostic Analytics | Research Excellence Award

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Dr .Rie Nakayama | Diagnostic Analytics | Research Excellence Award

Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science | Japan

Dr. Rie Nakayama is a Japanese cardiologist and Assistant Professor (Special Appointment) at Okayama University’s Graduate School of Medicine, Dentistry and Pharmaceutical Sciences. She earned her MD from Kagawa University  and completed her PhD in Cardiovascular Medicine at Okayama University. With extensive clinical and academic experience, she specializes in cardiovascular medicine, echocardiography, and cardiac rehabilitation. Dr. Nakayama holds multiple board certifications from leading Japanese medical societies and has received several prestigious awards for her research presentations. Her work reflects a strong commitment to advancing cardiovascular care, clinical research, and medical education in Japan.

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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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Sherif A. El-Khodary | Innovation in Data Analysis | Research Excellence Award

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Assoc. Prof. Dr. Sherif A. El-Khodary | Innovation in Data Analysis | Research Excellence Award

Housing and Building National Research Center | Egypt

Dr. Sherif Ahmed Mohamed El-Khodary is an Egyptian Associate Professor at the Housing & Building National Research Center (HBRC), Giza, with extensive expertise in materials science and energy storage technologies. He earned his Ph.D. in Physics from Al-Azhar University and has held academic and research positions in Egypt and China, including Jiangsu University. His research focuses on carbon nanomaterials, advanced electrodes, and sustainable energy systems. Dr. El-Khodary has secured international research funding, holds patented innovations, and has published extensively in high-impact journals, contributing significantly to advancements in nanotechnology and electrochemical energy storage.

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Assoc. Prof. Dr. Minxi Wu | Agricultural Data Analysis | Research Excellence Award

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Assoc. Prof. Dr. Minxi Wu | Agricultural Data Analysis | Research Excellence Award

Hunan Academy of Agricultural Sciences, Hunan Institute of Microbiology | China

Dr. Minxi Wu is an Associate Researcher at the Hunan Academy of Agricultural Sciences, Hunan Institute of Microbiology, specializing in environmental microbiology and biotechnology. She holds a PhD in Microbiology and has made significant contributions to the field through her research on microbial remediation of heavy metal-contaminated environments. Her work focuses on innovative biological approaches for removing cadmium, chromium, and other pollutants from soil and wastewater. Dr. Wu has authored several high-impact publications in leading journals, demonstrating her expertise in sustainable agriculture and environmental protection, and highlighting her commitment to advancing eco-friendly solutions through scientific research.

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A study on chromium reduction by Sulfate-Reducing Bacteria in paddy fields
Journal of Environmental Chemical Engineering., 2026