Summary
Özgür Güler is Chief Technology Officer at eKare Inc., leading R&D for computer vision and machine learning solutions in wound assessment and management with over 15 years in computer-assisted surgery and robotics. He has a strong track record building and validating image-guided systems, integrating surgical robots, and creating accessible simulators—work that spans academic labs and clinical settings. As a guest lecturer at Georgetown University and a former staff scientist at Children's National, he translates research into practical tools and open-source toolkits that expose real-world pitfalls in CAS accuracy. His PhD in Bioengineering from Innsbruck underpins contributions like a novel neuroscience biomarker and an influential webcam-based surgery simulator used for education and experimentation. Colleagues know him for bridging rigorous error modeling with hands-on system integration, from KUKA robot-assisted procedures to ML-driven tissue classification. Based in Vienna, Virginia, he combines deep domain expertise with a passion for making advanced surgical technology reproducible and broadly accessible.
14 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Bioengineering and Biomedical Engineering, Doctor of Philosophy (PhD) Bioengineering and Biomedical Engineering at Medizinische Universität Innsbruck
Master's degree Computer Science, Master's degree Computer Science at Universität Innsbruck
English, German, Turkish