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Ingo Ruhmann

Technically and Organizationally Complex, Politically Sensitive: Distinguished Lecture on Cybersecurity

Questions of cybersecurity extend far beyond purely technical issues. In his Distinguished Lecture on 12 November 2026 at the Duisburg campus, computer scientist and policy expert Ingo Ruhmann will examine current threats, compliance challenges, and the political dimensions of digital security.

Eric Bodden

Distinguished Lecture with Eric Bodden: On the Backbone of Agentic Software Engineering

AI agents are becoming increasingly fast and autonomous, but what about quality assurance? In the Distinguished Lecture on November 3, 2026 in Essen, Eric Bodden will present his research on scalable validation techniques designed to keep pace with the speed and volume of AI-based software generation.

New Clustering Method Uncovers Hidden Rules in Data

One dataset, one model? This approach does not always produce the most useful insights, as a dataset often contains many different relationships. To better understand them, researchers at the paluno research institute in the Faculty of Computer Science have developed a method that clusters data according to mathematical functions. The key feature is that neither the number and structure of the functions nor the assignment of data points to them needs to be known in advance.

Immersive experience with modern virtual‑reality headsets and controllers.

MuC 2026 is about to begin

As the largest European conference in the field of Human–Computer Interaction, it will bring together more than 500 participants at the University of Duisburg-Essen from 30 August to 2 September.

Congratulations, Dr. Paul-Andrei Dragan!

Paul completed his doctorate in the Software Systems Engineering (SSE) group under Prof. Pohl. His dissertation focused on preventing data protection violations in self-adaptive systems.

Thesis Defense Xhujla Shahini

Congratulations to Dr. Xhulja Shahini on successfully completing her PhD!

Xhulja pursued her PhD in the Software Systems Engineering (SSE) research group with Prof. Pohl. In her work, she addressed the question of how AI-supported predictions in software quality assurance can be made more reliable and thus more suitable for practical use.

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