Fatahlla Moreh is a Machine Learning Engineer with extensive experience in developing algorithms and deep learning models for data extraction and analysis, particularly in energy-related structures such as wind turbines and underground cables at diconium and Geoanalysis-Engineering GmbH. Fatahlla significantly improved diagnostic outcomes by 30% in healthcare through the processing of multi-modal medical images while serving as a Research Assistant at Kiel University, where sophisticated unsupervised registration deep learning models for retinal imaging were also developed. Fatahlla is pursuing a Doctor's Degree in Computer Science at Kiel University, having previously earned a Master's degree and a Bachelor of Science in Informatik from the same institution.
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