Otilia Kimpel | Big Data Analytics | Research Excellence Award

Dr. Otilia Kimpel | Big Data Analytics | Research Excellence Award

Universitätsklinikum Würzburg | Germany

Dr. Otilia Kimpel is a dedicated physician-scientist and board-certified specialist in Internal Medicine with a focus on endocrinology at the University Hospital Würzburg, Germany. She completed her medical studies at the University of Duisburg-Essen, earning her doctorate with magna cum laude distinction for research on transcranial direct current stimulation and motor learning. With extensive clinical and research experience, she has contributed as an investigator in multiple phase 1–3 clinical trials, particularly in adrenal and endocrine disorders. A recipient of several prestigious awards, including the Bruno Allolio Prize and Anke Mey Award, Dr. Kimpel is actively engaged in advancing endocrine research through clinician-scientist programs and academic initiatives.

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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.

Citation Metrics (Scopus)

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12

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