Josef Widder

 

I am temporary associate professor (Privatdozent) in the Embedded Computing Systems group at TU Wien.
In the past, I worked at the Parasol Lab at Texas A&M University, the Laboratoire d’Informatique LIX at Ecole polytechnique, and at the FORSYTE group at TU Wien.

My primary area of interest is the theoretical approach to distributed algorithms, currently focussing on automated verification of fault-tolerant distributed algorithms.

CV from January 2017.

 

widder2015

Publications

  • an up-to-date list of my publications.
  • my ACM Author-izer page provides free access to my papers that were published with ACM.
  • my papers at dblp.

 

Recent activities

 

Projects

  • PRAVDA. Parametrized Verification of Fault-tolerant Distributed Algorithms (FWF)
  • APALACHE. Abstraction-based parameterized TLA+ checker (WWTF)
  • RiSE. Rigorous Systems Engineering (FWF)

 

Contact information

Josef Widder
Technische Universität Wien
Institut für Technische Informatik 182/2
Embedded Computing Systems Group
Treitlstraße 3
1040 Wien
Austria

room: DE 02 11
phone: +43 (1) 58801 – 18263
email: ta.etysrofnull@reddiw

Latest News

WWTF ICT project awarded to Igor Konnov

Igor Konnov (PI), together with Josef Widder (co-PI) and Helmut Veith (core team), are awarded an ICT research project APALACHE “Abstraction-based Parameterized TLA Checker” by the Vienna Science and Technology Fund WWTF.

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Austrian Computer Science Day 2015

The Austrian Computer Science Day 2015, which takes place on October 15, features a range of talks by leading Austrian computer scientists, including topics such as computer games, augmented reality, aware systems, semantic web, business processes, and reliable systems. Register for free by October 7, 2015! This year’s speakers are: Alois Ferscha (JKU Linz) Tom […]

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Helmut Veith receives CAV Award

The 2015 CAV Award is given to Edmund Clarke, Orna Grumberg, Ron Hardin, Zvi Harel, Somesh Jha, Robert Kurshan, Yuan Lu, and Helmut Veith for the development and implementation of the localization-reduction technique and the formulation of counterexample-guided abstraction refinement (CEGAR).

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