Prof. Dr.-Ing. habil. Walter Sextro
Faculty of Mechanical Engineering » Dynamics and Mechatronics (LDM)
Head -
Professor
- E-Mail:
- walter.sextro@uni-paderborn.de
- Phone:
- +49 5251 60-1801
- Web:
- Homepage
- Office Address:
-
Pohlweg 47-49
33098 Paderborn - Room:
- P1.3.31.1
- Office hours:
By arrangement
About Walter Sextro
After completing his mechanical engineering studies with a focus on mechanics, measurement and control technology at the Leibniz University Hannover and at Imperial College in London, UK. Prof. Sextro worked as a development engineer and project coordinator at Baker Hughes INTEQ at the Drilling Research Center in Celle and in Houston, Texas. In 1993 he returned to the University of Hanover as a research assistant and received his doctorate in 1997 at the Institute of Mechanics. He then completed his habilitation in the field of mechanics. In February 2004 he accepted an appointment as professor at the Institute for Mechanics and Gear Science at the Graz University of Technology in Austria. Since March 2009, Sextro has headed the Chair of Dynamics and Mechatronics at the University of Paderborn.
Publications
Latest Publications
Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings
M.C. Wohlleben, J. Schütte, M.B. Berkemeier, W. Sextro, S. Peitz, Multibody System Dynamics (2026) 1–21.
Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle
M. Kelber, S. Brück, N. Bhardwaj, O.K. Aimiyekagbon, R. Naumann, W. Sextro, in: Hochschule für Technik und Wirtschaft Dresden, Fakultät Maschinenbau (Ed.), Tagungsband Rad-Schiene-Tagung 2026, DVV Media Group GmbH - Eurailpress, Hamburg, 2026, pp. 206 – 208.
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.
Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems
M.D. Dohmen, P. Bornmann, W. Littmann, T. Hemsel, W. Sextro, PLUS-Elektronikfertigung (2026) 432–435.
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