The power of combined modalities in interactive robot learning
H. Beierling, R. Beierling, A.-L. Vollmer, Frontiers in Robotics and AI 12 (2025).

Evaluating oneAPI I/O Pipes in a Case Study of Scaling a SYCL Jacobi Solver to multiple FPGAs
C. Alt, C. Plessl, T. Kenter, in: Proceedings of the 13th International Workshop on OpenCL and SYCL, Association for Computing Machinery, New York, NY, USA, 2025.

Otus Supercomputer
S. Ehtesabi, M. Hossain, T. Kenter, A. Krawinkel, L. Ostermann, C. Plessl, H. Riebler, S. Rohde, R. Schade, M. Schwarz, J. Simon, N. Winnwa, A. Wiens, X. Wu, Otus Supercomputer, Paderborn Center for Parallel Computing (P), Paderborn, 2025.

An Evolutionary Approach for the Computation of -Locally Optimal Solutions for Multi-Objective Multimodal Optimization
C. Hernández, A.E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2025) 1–1.

Noctua 2 Supercomputer
C. Bauer, T. Kenter, M. Lass, L. Mazur, M. Meyer, H. Nitsche, H. Riebler, R. Schade, M. Schwarz, N. Winnwa, A. Wiens, X. Wu, C. Plessl, J. Simon, Journal of Large-Scale Research Facilities 9 (2024).

Finding ?5-Locally Optimal Solutions for Multi-Objective Multimodal Optimization
A.E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2024) 1–1.

Interview Study on Strategy Options for Platform Operation in B Markets
L. Özcan, T. Fichtler, B. Kasten, C. Koldewey, R. Dumitrescu, in: 2023.

Hardware Trojans in Reconfigurable Computing
Q.A. Ahmed, Hardware Trojans in Reconfigurable Computing,  Paderborn University, Paderborn, Germany, Paderborn, 2022.

Why do Digital Platforms succeed or fail? - A Literature Review on Success and Failure Factors
L. Özcan, C. Koldewey, E. Duparc, H. van der Valk, B. Otto, R. Dumitrescu, in: 2022.

A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement
Y. Shi, S. Harzheim, M. Hofmann, T. Wallmersperger, in: Material Modeling and Structural Mechanics, Springer International Publishing, Cham, 2022.

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature (PPSN XVII), Springer International Publishing, Cham, 2022, pp. 192–206.

On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems
J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 356–359.

Performance Management Approach for Digital Platforms in B Markets
L. Özcan, L.I. Kirchberg, C. Koldewey, R. Dumitrescu, in: I. Bitran, L. Bitetti, S.  Conn, J. Fishburn, E. Huizingh, M. Torkkeli, J. Yang (Eds.), The Role of Innovation: Past, Present, Future, Athens, 2022.

Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.

AutoML for Multi-Label Classification: Overview and Empirical Evaluation
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.

Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021).

DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning
S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.

A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions
A. Bender, Machines 9 (2021).

Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
C. Grimme, P. Kerschke, P. Aspar, H. Trautmann, M. Preuss, A.H. Deutz, H. Wang, M. Emmerich, Computers &; Operations Research 136 (2021) 105489.

Transforming into a Platform Provider: Strategic Options for Industrial Smart Service Providers
D. Beverungen, D. Kundisch, N. Wünderlich, Journal of Service Management 32 (2021) 507–532.