Pier Paolo Valentini - received M.S. in Mechanical Engineering in 2000 and Ph.D. in Design of Mechanical Systems in 2004 from the University of Rome Tor Vergata. He is a Full Professor of Applied Mechanics and teaches the courses Virtual Prototyping and Simulation of Mechanical Systems, Bio-prosthesis and Advanced Computer-Aided Design Methodologies at the University of Rome Tor Vergata. He serves as a Subject Editor of the International Journal “Mechanism and Machine Theory”, published by Elsevier. He chairs the Laboratory of Virtual Prototyping and Simulation “Digital Synapsis”. His research interests are Multibody Dynamics, Mechanisms and Compliant Mechanisms, Power Transmissions, Vibration, Biomechanics, Computer-Aided Design, and Virtual and Augmented Reality. He is the author or co-author of more than 200 papers in referred international Journals and three patents. He has coordinated more than 60 research projects funded by national and international institutions and industries.CLOSE
After finishing his studies in mechatronics, Johannes Gerstmayr started as a research assistant in the special research area SFB13 on Numerical and Symbolical Mathematics within the project "Structural dynamics of elasto-plastic multibody systems" in 1998. He received his doctoral degree at the Johannes Kepler University Linz in 2001. After several research visits to UIC Chicago, IST Lisbon and University Duisburg-Essen with research focus on computational methods for flexible multibody systems, he finished his habilitation in Technical Mechanics in 2007. After a short research visit to Lappeenranta University of Technology in 2007, he joined the Linz Center of Mechatronics (LCM) as a key researcher and became leader of the business unit Dynamics and Control. In 2013 he received the offer for the chair of Machine Elements and Design at the newly funded Department of Mechatronics at the University of Innsbruck, which he joined in 2014. He received the Wilhelm Macke-Prize in 2005, the Upper Austrian Innovation Award in 2013 and several best paper awards. He is member of the editorial (advisory) board of Multibody System Dynamics and Acta Mechanica and Associate Editor of the ASME Journal of Computational and Nonlinear Dynamics. He served as a reviewer for more than 20 scientific journals, and he co-authored 60 papers in scientific journals and more than 120 proceedings papers, book chapters and patents.
computational multibody dynamics, flexible multibody systems, robotics, programmable matter, numerical methodsCLOSE
2002 Dipl.-Math. techn., Diploma in Technomathematics, University of Kaiserslautern
2006 Dr.-Ing., PhD in Engineering, University of Kaiserslautern
2006 – 2008 Postdoctoral scholar (Alexander von Humboldt Foundation), California Institute of Technology
2008 – 2009 Berlin Mathematical School substitute professor, Free University of Berlin
2009 – 2011 Head of the Independent Junior Research Group in the DFG Emmy Noether Programme, Computational Dynamics and Control, University of Kaiserslautern
2011 Dr.-Ing. habil., Habilitation and venia legendi in Mechanics, University of Kaiserslautern
2011 – Full professor, Institute of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg
2022 – 2024 Adjunct Professor, School of Mechanical, Medical & Process Engineering, Queensland University of Technology
Sigrid Leyendecker's research interests are situated in the field of computational mechanics, in particular dynamics and applied mathematics with focus on the development of efficient techniques for the simulation and optimisation of dynamical and control systems with applications to modern engineering and biomechanical questions. The considered problems come from elastodynamics, flexible multibody dynamics (representing e.g. parts of the human body in everyday movements and sports or industrial and medical robots), coupled and multirate systems. A goal is the simulation, optimisation and optimal control of their dynamics. Thereby, the further development of corresponding numerical methods is likewise important as the modelling of the nonlinear systems.
More Information soon.