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Panoramic view on the North Campus © Jürgen Huhn​/​TU Dortmund
UA Ruhr: New Research Center

First Professorship Filled at the Research Center Trustworthy Data Science and Security

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Portrait photo of Daniel Neider leaning against a concrete wall in a blue shirt, arms crossed and smiling slightly. © Oliver Dietze
As a theoretical computer scientist, Prof. Neider combines deductive methods of mathematical logic and inductive methods of machine learning in an innovative way.
On 1 November, Prof. Daniel Neider took over the new professorship “Verification and Formal Guarantees of Machine Learning“. The professorship is the first to be filled at the new “Research Center Trustworthy Data Science and Security” of the University Alliance Ruhr (UA Ruhr). It is allocated to the Department of Computer Science at TU Dortmund University.

Founded in 2021, the Research Center is still in the start-up phase. Together with three other centers and a college, it forms the Research Alliance Ruhr, in which the three partners of the UA Ruhr bundle their cutting-edge research. In the coming years, TU Dortmund University, Ruhr University Bochum and the University of Duisburg-Essen will establish up to 50 new professorships, twelve of them in the Research Center Trustworthy Data Science and Security.

The research center focuses on the trustworthiness of intelligent systems in security-critical applications. The goal is to make artificial intelligence (AI) secure, reliable and at the same time transparent for users. After all, AI has long since become an integral part of everyday life, but suffers from numerous bugs - just like classic hardware and software. Beyond this, the way AI works is often difficult for humans to understand. To address these fundamental problems in a human-centered approach, collaboration between different disciplines is required - from computer science and statistics to sociology and psychology.

Pioneer in combining logic and learning

The first professorship now filled contributes efficient techniques to tackle these problems: As a theoretical computer scientist, Prof. Neider combines deductive methods of mathematical logic and inductive methods of machine learning in an innovative way. He has been doing pioneering work in this area for more than ten years and is strongly driving international research forward. Although the combination of these approaches is in high demand, it is hardly being practiced in Germany. “With Prof. Neider, we can expand our expertise in the field of trustworthy artificial intelligence at TU Dortmund University and work on new interdisciplinary research topics in the Research Alliance Ruhr,” says Prof. Manfred Bayer, President of TU Dortmund University. “With this professorship, we are building a new interdisciplinary working environment in the field of AI and far beyond. So we are pleased to welcome the first of twelve interdisciplinary bridging professorships in Dortmund,” says Prof. Emmanuel Müller, founding director of the Research Center.

Prof. Daniel Neider received his PhD from RWTH Aachen University in 2014 and subsequently worked as a postdoctoral researcher in the USA until 2016, where he worked in the research project “ExCAPE - Expeditions in Computer-Augmented Program Engineering”. From 2017 to 2022, he led the research group “Logic and Learning” at the Max Planck Institute for Software Systems with a focus on formal methods for intelligent systems, while also teaching at the Technical University of Kaiserslautern. From February 2022, he was professor for “Security and Explainability of Learning Systems” at Carl von Ossietzky University Oldenburg before being appointed to Dortmund.

Research Alliance Ruhr

The Research Alliance Ruhr was initiated by the Ruhr Conference of the State Government of North Rhine-Westphalia in order to expand the top international research of TU Dortmund University, Ruhr University Bochum and the University of Duisburg-Essen who closely cooperate in the UA Ruhr. Founded in 2021, the Research Alliance comprises four cross-university research centers with the titles One Health Ruhr, Chemical Sciences and Sustainability, Trustworthy Data Science and Security, and Future Energy Materials and Systems. In addition, a College for Social Sciences and Humanities has been established. The State Government of North Rhine-Westphalia is supporting the start-up phase with 75 million euros until 2024.

Research Center Trustworthy Data Science and Security

Prof. Daniel Neider

 

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