Strengths in Computer Science Research at Paderborn University include Data Science, Security, Domain-Specific Computing, and Quantum Computing. We prioritise inter-disciplinary research, and deeply care about transfer into industry - locally, nationally, and internationally.

• Domain-specific computing enables the specialisation of hardware, software and runtime systems to create highly efficient computer systems. Our research in this area includes the development of new methods for modelling and the automatic design of domain-specific computer systems, as well as their application in embedded systems, network components and high-performance computers. Technologically, a long-established focus of our work is on the use of FPGAs, which, due to their broad commercial availability, offer the possibility of testing flexible, reconfigurable, application-specific computer systems in practice.
   
• Quantum: Our quantum research activities focus primarily on theoretical aspects of quantum computing, including quantum algorithms, quantum complexity theory, quantum cryptography, quantum errorcorrection and quantum information. We are particularly interested in, among other topics, quantum generalizations of Boolean satisfiability, post-quantum cryptography via lattice problems, characterisation of many-body entanglement, and theoretical modeling of photonic quantum systems.
   
• Data Science: The research area Data Science bundles expertise in machine learning, optimisation and knowledge representation to (i) develop the foundation of novel intelligent solutions and derive (ii) implementations for solutions to practical problems. In addition to their focus on target foundational challenges, the members of the research area target holistic solutions that cover the lifecycle of intelligent solutions from their creation to their archival. Foundational and practical challenges are tackled in research projects of varied nature and size, including collaborative research centres (e.g., the TRR 318), graduate schools (e.g., DataNinja), international training networks (e.g., LEMUR), and AI research groups (e.g., Multicriteria Machine Learning).
   
• Security: Our security research activities focus on the secure engineering of software-intensive systems, including the engineering of cryptographic protocols.Our holistic approach to security and its engineering leverages human factors methods to support all involved actors, including developers, cryptographers, general practitioners, and end users, in creating and using secure software. We frequently evaluate our approaches through our strong ties to IoT and Industry 4.0.
   
• Software Engineering: In today's industry, the bulk of value creation is in software. Software permeates our everyday lives. This is why it must be designed to be sustainable, usable, and easy to maintain and secure. We research how to best enable software engineers and related development roles to achieve such qualities for the software intensive systems of tomorrow.