Systems Theory and Automatic Control

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Professor Dr.-Ing. Rolf Findeisen


  Institute for Automation Engineering (IFAT)
  Laboratory for Systems Theory and Automatic Control
  Otto-von-Guericke University Magdeburg
  39106 Magdeburg - Germany



Phone:

(+49)0391/6718708

Fax:

(+49)0391/6711191

Email:

rolf.findeisen@ovgu.de


CV

2008- Full Professor Otto-von-Guericke-University Magdeburg, Institute for Automation Engineering, Chair for Systems Theory and Automatic Control
2014 Offer full professor position (W3) at Universität Paderborn
2012 Visiting professor Massachusetts Institute of Technology (MIT) and EPFL Lausanne
2004-2007 Researcher, Institute for Systems Theory and Automatic Control, Prof. Dr.-Ing. Frank Allgöwer, University of Stuttgart
2004 Dr.-Ing., University of Stuttgart, Department of Mechanical Engineering
1999-2004 Research assistant, Institute for Systems Theory and Automatic Control, University of Stuttgart
1997 Master of Chemical Engineering, University of Wisconsin, Madison
1998 Diploma Engineering Cybernetics, University of Stuttgart
1997-1999 ETH-Zürich, Switzerland, Institute for Automatic Control

Several research stays at University of California, Santa Barbara, Imperial College London, NTNU Trondheim, Norway, University of Sannio Benevento

Selected Honors and Services

2016 Keynote speaker Workshop on Control, Optimisation and Networks, U. of Cambridge
2016 Plenary speaker Congreso Nacional de Control Automatico, Mexico
2015 Head Internet of Things activity group, IEEE TC Networks and Communications
2015- IPC Co-Chair IFAC World Congress 2020, Berlin
2015 Plenary speaker IFAC Workshop Nonlinear Model Predictive Control (NMPC 2015)/td>
2014- Spokesperson of the GAMM Fachausschusses Dynamik und Regelungstheorie
2012-2015 IEEE Control Systems Society International Affairs Chair

Editorships

2015- Associated editor IEEE Trans. Control of Network Systems
2013- Editor Journal of Optimal Control Applications and Methods
2012- Associated editor IEEE Control Systems Magazin

Research Interests

Predictive Control; network controlled systems; cyberphysical systems; uncertainty; robustness; fields of applications: mechatronics, embedded control, biotechnology, systems biology, systems medicine.

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