He now also contributes his expertise in the security and trustworthiness of intelligent systems to the Lübeck-based AIMedI research department, which is headed by Prof. Dr. Heinz Handels. The focus of this area is on the development of adaptive medical image processing methods to support medical diagnostics and therapy. The emphasis is on machine learning methods and deep learning networks for the automatic analysis and recognition of different disease patterns, lesions, biomarkers, organs, tissues and much more in medical images and image sequences.
Prof. Eisenbarth supports this work by investigating the use of machine learning techniques to strengthen security solutions and the security and trustworthiness of AI-based systems, particularly in medical applications. His research focuses on applied cryptography, code analysis, the investigation of security solutions at the software-hardware interface, and the automated detection and prevention of vulnerabilities.
About Prof. Thomas Eisenbarth
Thomas Eisenbarth is Director of the Institute for IT Security at the University of Lübeck and currently Chair of the MINT Senate Committee (Dean). He studied Electrical Engineering and Information Technology at Ruhr University Bochum until 2006, where he completed his doctorate at the Horst Görtz Institute for IT Security in 2009. From 2010, he conducted research as an assistant professor at the Centre for Cryptography and Information Security (CCIS) at Florida Atlantic University. In 2012, he moved to the Worcester Polytechnic Institute (WPI). Since August 2017, he has been a professor of IT security at the University of Lübeck.