Prof. Dr. Wolfgang Rosenstiel

Photo of Rosenstiel, Wolfgang

Prof. Dr. Wolfgang Rosenstiel
University of Tübingen
Department of Computer Science
Computer Engineering
Sand 13
72076 Tübingen
Germany

Telephone
+49 - (0) 70 71 - 29 - 75482
Telefax
+49 - (0) 70 71 - 29 - 50 62
E-Mail
Mail
Office
Auf der Morgenstelle 8, B-Bau, Ebene 10, Raum 10P18
Office hours
Monday 8:30 - 9:00

Publications on Google Scholar

Profile on ResearchGate

Prof. Dr. Wolfgang Rosenstiel is directing the Chair for Computer Science and is leading the Faculty of Science as its Dean.

Academic Education

  • 1984 Dr. rer. nat. in Computer Science University of Karlsruhe
  • 1980 Diploma in Computer Science University of Karlsruhe

Professional Experience

  • 2010 - now Dean Faculty of Science, University of Tübingen
  • 1991 - now Director Research Center for Information Technology (FZI), Karlsruhe
  • 1990 - now Full Professor (W3) Department of Computer Engineering, University of Tübingen
  • 1986 - 1990 Group Leader Research Center for Information Technology (FZI), Karlsruhe
  • 1984 - 1986 Postdoctoral Researcher University of Karlsruhe

Honors & Awards

  • 2017 IBM Shared University Research Grant
  • 2015 Best Paper Award at the 8th International Conference on Health Informatics (HEALTHINF)
  • 2009 ERC Advanced Grant
  • 2008 - now DATE Fellow
  • 2007 IBM Shared University Research Grant

Academic Service

  • 2010 - now Dean of the Faculty of Science at the University of Tübingen
  • 2007 - 2012 Committee member of DFG senate for Collaborative Research Centers
  • 2007 General Chair of the DATE (Design, Automation and Test in Europe) Conference and Exhibition
  • 2007 - now Chairman of edacentrum e.V., Hannover, Germany
  • 2006 - now Editor in Chief of the Springer Nature Journal “Design Automation for Embedded Systems”
  • 2004 - 2015 Member of the ITRS-Committee (International Technology Roadmap for Semiconductors)
  • 1998 - now Member of Coordination Committees for Several DFG Priority Programs
  • 1998 - 2005 Several periods as Dean, Vice-Dean and Department Director of Computer Science (before the new faculty structure)

Research & Teaching

  • Computer Engineering
  • Computer Architecture
  • Design Automation
  • Algorithms
  • High Level Synthesis and Verification
  • Embedded Systems
  • Computer Architecture
  • Parallel Computing
  • Neural Nets
  • Multimedia Technology

Additional Activities

  • DATE Fellow 2008
  • IBM Shared University Research Grant 2007
  • Committee Member of DFG Senate for Collaborative Research Centre Affairs and Scientific Member of the Authorizing Committee for Collaborative Research Centers (since 2007)
  • Chairman of German edacentrum (since 2005)
  • Editor-in-Chief of Springer Journal “Design Automation for Embedded Systems” (since 2005)
  • Member of ITRS-Committee (International Technology Roadmap for Semiconductors) (since 2004)
  • Program Chair of Eurodac 95, VLSI95, Eurodac 94, EDAC92, HLSW91
  • General Chair of Eurodac 97, HLSW92
  • TPC Member of Eurodac, ICCAD, VLSI and others
  • Member of Editorial Board of ACM Transactions on Embedded Computing Systems
  • Member of IFIP 10.5

Research projects

Entwurf und Architektur Eingebetteter Systeme (EAES) (Kooperatives Promotionskolleg)

Das baden-württembergische Ministerium für Wissenschaft, Forschung und Kunst stellt zehn Doktoranden-Stipendien zur Stärkung des Forschungs- und Wirtschaftsstandorts Baden-Würrtemberg im Rahmen des Promotionskollegs “Entwurf und Architektur eingebetteter Systeme (EAES)” zur Verfügung.

Mit dem Promotionskolleg soll dem wissenschaftlichen Nachwuchs die Erweiterung seines Grundlagenwissens sowie der Erwerb zusätzlicher technischer und allgemeinbildender Qualifikationen ermöglicht werden. Hierzu werden die jungen Nachwuchswissenschaftler im Rahmen zahlreicher Veranstaltungen über den Zeitraum von drei Jahren strukturiert zur Promotion geführt.

Brain-Computer Interface for home-use application

Home-use BCI Logo

There are several diseases, such as amyotrophic lateral sclerosis (ALS), which can lead to a loss of the ability to communicate. As a healthy person one cannot imagine what it feels like to be trapped in one’s own body - mentally present, but unable to communicate with relatives, this is called locked-in syndrome. However, a distinction must be made between locked-in and complete locked-in syndrome (CLIS). For the former, those affected can still voluntarily control certain muscles, above all the eye muscles, which in turn can be used for communication. Brain-computer interfaces (BCIs), i.e. systems that allow to control a computer by pure brain activity, have proven to be a helpful method for restoring the ability to communicate. However, all recent BCI systems are almost exclusively used in research, since all previous methods are not suitable for real-world applications. This is mainly due to the fact that for a meaningful and independent use, the recognition of the user’s intention (to control the system or not) must be highly accurate. Otherwise, this leads to random classifications/commands, which can be dangerous depending on the application, for example when controlling an electric wheelchair.

Context-sensitive neural-controlled hand-exoskeleton for restoration of everyday-capability and autonomy after brain and spinal cord injuries

CONSENS-NHE Logo

The development of robotic systems that interacts with the human nervous system, promise to improve the autonomy, quality of life, and capability of people with disabilities. Brain-Computer Interfaces (BCI) can be used to translate the electrical brain activity into control signals of a robotic exoskeleton. Therefore, it is possible to restore grasping movements of a paralyzed hand by interpreting the neural correlates of the movement. For lack of signal quality, BCI systems based on non-invasive methods, e.g. electroencephalography (EEG), can only be used limited in everyday situations.

In the project CONSENS-NHE we develope a non-invasive and everyday suitable neural-controlled hand-exoskeleton, targeting the compensation of a paralyzed hand, as it can occur after strokes or spinal cord injuries. Within the project the latest methods of machine learning, optical object-recognition, movement analysis, and biological inspired design for robotic systems are combined with neurorehabilitative research. The system will allow people with hand paralysis to grasp and manipulate different objects of everyday life. For direct control of the hand-exoskeleton, the grasping intention is identified based on neural signals measured on the scalp using EEG.

RESIST II - Resilienzbewertung von Wahrnehmungs- und Planungsansätzen in kooperativ interagierenden Automobilen bei unerwarteten Störungen

Functional safety of fully automated and autonomous vehicles is one of the main challenges of the upcoming years. A fully automated vehicle must not only remain in a safe driving state under ideal conditions, but also in the event of unforeseen situations. The use of cooperatively interacting strategies further complicates ensuring sufficient resilience against these unforeseeable situations and unexpected disturbances. To qualify a vehicle with fully automated driving functions in accordance with ISO 26262, it currently has to complete one billion test kilometers on the road.

Publications