Meike Wohlleben
Faculty of Mechanical Engineering » Dynamics and Mechatronics (LDM)
Research Associate
AI-assisted Engineering
- E-Mail:
- meike.wohlleben@uni-paderborn.de
- Phone:
- +49 5251 60-1810
- ORCID:
- 0009-0009-9767-7168
- Web:
- Homepage
-
- Office Address:
-
Pohlweg 47-49
33098 Paderborn - Room:
- P1.3.32.0
- Office hours:
by appointment
Publications
Latest Publications
Enabling Hybrid Modeling in Commercial MBS Software: A Force‐Level Approach
M.C. Wohlleben, J.M. Linneweber, J. Schütte, W. Sextro, Proceedings in Applied Mathematics and Mechanics 26 (2026).
Surrogate-Assisted Multi-objective Design of Complex Multibody Systems
A.C. Amakor, M.B. Berkemeier, M.C. Wohlleben, W. Sextro, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 251–262.
Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings
M.C. Wohlleben, J. Schütte, M. Berkemeier, W. Sextro, S. Peitz, Multibody System Dynamics (2026).
The impact of AI on engineering design procedures for dynamical systems
K.M. de Payrebrune, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder, P. Eberhard, S. Peitz, M. Stoffel, G. Rutwik, B. Aditya, M.C. Wohlleben, W. Sextro, M. Raff, C.D. Remy, M. Yadav, M. Stender, J. van Delden, T. Lüddecke, S.C. Langer, J. Schultz, C. Blech, Technische Mechanik - European Journal of Engineering Mechanics 45 (2025) 1–23.
Hybrid modeling of multibody systems: Comparison of two discrepancy models for trajectory prediction
M.C. Wohlleben, B. Röder, H. Ebel, L. Muth, W. Sextro, P. Eberhard, PAMM (2024) e202400027.
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