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

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

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

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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