Involved in several projects such as the AI Systems Engineering Lab (sponsored by BMBF), Anomaly Detection for Automotive Visual Signal Transition Estimation, among others.
Research Experience
Current research focus is on advancing the model-driven design and engineering of complex intelligent systems through an interdisciplinary approach that bridges systems engineering, computational neuroscience, and more.
Background
Research interests include model-driven design and engineering of complex intelligent systems, interdisciplinary research spanning systems engineering, computational neuroscience, cognitive science, psychology, AI, and statistical machine learning.
Miscellany
Aiming to prepare future scientists and engineers who can work in large teams, lead global distributed teams, solve interdisciplinary system problems, and be 'Holistic Systems Thinkers'.