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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.

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.

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.

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.

The paper “ROPdefender: A Detection Tool to Defend Against Return-Oriented Programming Attacks” has received the Test of Time Award from ACM AsiaCCS, one of the leading international conferences in cybersecurity. Published in 2011, the work originated from Lucas Davi’s master’s thesis, which he wrote under the supervision of Dr. Marcel Winandy and Prof. Ahmad-Reza Sadeghi. Today, Lucas Davi is a professor and director of paluno – The Ruhr Institute for Software Technology.

On June 18, the Essen Science Summer kicks off with an opening event on the topic of Future Skills. Stefan Schneegaß will give a talk and contribute to the discussion from the perspective of human–computer interaction.