Mais Mayassah | Machine Learning Applications | Research Excellence Award

Ms. Mais Mayassah | Machine Learning Applications | Research Excellence Award

Structural and Geotechnical Engineering Department, Szechenyi Istvan University, Gyor, Hungary | Hungary

Ms. Mais Mayassah is a dedicated Water and Geotechnical Engineer and PhD researcher at Széchenyi István University, Hungary, specializing in structural engineering, geotechnics, and hydraulic systems. With extensive academic and professional experience, she has contributed to advanced research within the National Laboratory for Water Science and Water Security, focusing on flood resilience, levee safety, and climate-driven hydrological challenges. Her background includes roles as a civil engineer and consultant in Syria, where she supervised infrastructure, sanitation, and construction projects, alongside years of university teaching in hydraulics and building materials. Her research integrates numerical modeling, artificial intelligence, and geotechnical analysis to develop innovative, data-driven solutions for sustainable and resilient water infrastructure systems.

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Ikram Gouri | Artificial Intelligence | Research Excellence Award

Ms. Ikram Gouri | Artificial Intelligence | Research Excellence Award

FSAC | Morocco

Ms. Ikram Gouri is a dedicated PhD researcher in Artificial Intelligence at the LIDSI Laboratory, Faculté des Sciences Aïn Chock, Université Hassan II, Casablanca, Morocco. With a strong academic foundation spanning computer engineering, software development, and mathematics, she combines research excellence with practical industry expertise. Professionally, she serves as a Senior Development Consultant at CBI, specializing in Microsoft Dynamics 365, Power Platform solutions, and workflow automation. Her experience includes delivering data-driven applications, CRM/ERP consulting, and advanced analytics solutions using Power BI. Proficient in multiple programming languages, cloud platforms, and big data technologies, Ikram is committed to driving innovation in intelligent systems and digital transformation.

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