معرفی
Muhammed-Ugur Karagülle is a Researcher at the Institute of Computer Science, Department of Databases and Information Systems at Freie Universität Berlin. His work focuses on developing AI-driven healthcare solutions and information systems for medical and veterinary applications. He is affiliated with the university's research group specializing in databases and information systems, contributing to advanced projects such as AINA, SurgeRate, and mHealthAtlas.
Research interests include medical informatics, mobile health (mHealth) platforms, veterinary diagnostics systems, and AI integration in healthcare workflows. His projects address challenges in disease diagnosis (e.g., schistosomiasis), surgical performance evaluation, and regulatory frameworks for digital health applications.
Key contributions include the design of HaLowNet (a WiFi-based emergency healthcare system), the PRECOSE grayscale conversion method for medical scoring boards, and collaborative platforms like mHealthAtlas for evaluating mHealth applications. His work emphasizes interdisciplinary collaboration and human-centered design principles.
Currently, he is involved in projects such as XRay2Model, mCIS.vet (mobile clinical information systems for veterinary medicine), and process optimization for digital health applications. Office hours are held weekly, requiring prior email registration.
