Staff
Prof. Dr. Christoph Lüth
- Organizational unit
Cyber-Physical Systems
- Contact
Phone (Bremen): +49 421 218 59830
Christoph.Lueth@dfki.de
http://www.informatik.uni-bremen.de/~cxl
- Address (Bremen)
Mehrzweckhochhaus (MZH)
Bibliothekstraße 5
D-28359 Bremen
Publications
Profile
Christoph Lüth is vice director of the Research Department Cyber-Physical Systems at the German Research Centre for Artificial Intelligence (Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI) in Bremen.
His research covers the whole area of advanced system development, from theoretical foundations as found in category theory to the development of tools to construct or verify software, and applications in practical areas such as robotics. The overall theme of his work is how to reliably construct correct software.
He holds a PhD from the University of Edinburgh, and a Habilitation from the University of Bremen, where had been working as a lecturer (associate professor) prior to joining DFKI at the start of 2006. He has authored or co-authored over eighty peer-reviewed papers, and was the principal investigator in several research projects.
In addition to his work at DFKI, he is a professor for computer science at the University of Bremen, where he is regularly teaching courses about functional programming, programming languages, and formal methods.
HEP
Hardening the Supply Chain through Open Source, Trustworthy EDA Tools and Processors
The project "Hardening the Supply Chain through Open Source, Trusted EDA Tools and Processors (HEP)" focuses on RISC-V processors. RISC-V is a new, open and free instruction set architecture, forming…
VeryHuman
Learning and Verifying Complex Behaviour of Humanoid Robots
The validation of systems based on deep learning for use in safety-critical applications proves to be inherently difficult, since their subsymbolic mode of operation does not provide adequate levels…
KI-SIGS
AI-Space for Intelligent Health Systems
In the project KI-SIGS (AI-Space for Intelligent Health Systems), companies, universities and research institutions from northern Germany are pooling their expertise in the field of medical AI in…
Fast&Slow
Combination of Symbolic and Subsymbolic Methods
Deep learning methods are used in many application areas and work very
efficiently after a training phase. However, in general no reliable
statement can be made about their correctness. In contrast,…
SELFIE
Self-Verification of Electronic Systems
The exponential growth of the complexity of electronic systems makes it
increasingly diffult to prove their correctness (verification). Addressing
this problem, the goal of the SELFIE project is a…
