Welcome Jonathan Liebers

Jonathan brings a broad range of expertise from the University of Duisburg-Essen, where he completed both his Bachelor’s and Master’s degrees in Applied Computer Science - Systems Engineering. He recently earned his doctorate from the Human-Computer Interaction Group at the same university. In his dissertation, titled “Behavioral Biometrics in Extended Reality: Implicit User Authentication Through Artificial Intelligence,” Jonathan explored how AI can leverage subtle behavioral patterns to create seamless and secure authentication experiences within immersive environments and what factors influence the underlying data’s identifiability. His work resulted in 29 first-authored and co-authored publications, with contributions to ACM CHI, ACM VRST, and other venues.

Beyond his path in academia, Jonathan has deep roots in practical systems engineering and digital infrastructure. For three and a half years, he served as a Moodle DevOps and E-Learning expert at the IT center of the Ruhr West University of Applied Sciences. This role allowed him to bridge the gap between complex backend operations and user-centric educational technology, providing him with a unique perspective on how large-scale digital systems support human users in educational environments.

Now, as a member of the Human-AI Interaction group, Jonathan is shifting his focus toward the next frontier of intelligent systems. His current research interests center on Agentic AI and Implicit Interactions, investigating how AI can proactively support users without requiring explicit commands. By combining his background in Machine Learning with HCI principles, he aims to develop AI partners that are not just tools, but intuitive collaborators that understand and anticipate contextual needs. He is particularly interested in how implicit user cues can be used to refine AI assistance, supporting the user’s intent.

We welcome Jonathan on board!