TUM – Technical University of Munich Menü

Prof. Dr. Alexander Pretschner

Department

Informatics

Academic Career and Research Areas

The research area of Professor Pretschner is software and systems engineering. His main focus is on testing and information security.

Professor Pretschner studied computer science at RWTH Aachen and at the University of Kansas where he was a Fulbright grant recipient. After obtaining his doctorate at TUM, he worked as a senior researcher at ETH Zurich for five years. Within the framework of the Fraunhofer Attract Program he then moved on to head a research group at the Fraunhofer Institute for Experimental Software Engineering in Kaiserslautern. Parallel to this he was an adjunct associate professor at TU Kaiserslautern. Before joining TUM as a full professor in 2012, Professor Pretschner was a full professor at Karlsruhe Institute of Technology.

Prof. Pretschner has served as founding director of the Bavarian Research Institute for Digital Transformation since 2018 and scientific director of fortiss, the research institute of the Free State of Bavaria for software-intensive systems and services, since 2016.

Awards

  • IBM Faculty Award (2012, 2013)
  • Google Focused Research Award (2011, 2012)
  • Fraunhofer Attract (2008-2013)
  • Fulbright scholarship (1999)

Key Publications (all publications)

Kelbert F, Pretschner A: "Data Usage Control for Distributed Systems". ACM Transactions on Privacy and Security (TOPS). 2018; 21 (3): 12:1-12:32.

Abstract

Banescu S, Collberg C, Pretschner A: "Predicting the Resilience of Obfuscated Code Against Symbolic Execution Attacks via Machine Learning". 26th Usenix Security Symposium. Vancouver. 16-18 August 2017: 661-678.

Abstract

Banescu S, Collberg C, Ganesh V, Newsham Z, Pretschner A: "Code Obfuscation Against Symbolic Execution Attacks". In: Proceedings of the 32nd Annual Computer Security Applications Conference. New York: ACM, 2016: 189-200.

Abstract

Pretschner A, Holling D, Eschbach R, Gemmar M: "A Generic Fault Model for Quality Assurance". In: Model-Driven Engineering Languages and Systems. Editors: Moreira A, Schätz B, Gray J, Vallecillo A, Clarke P. Berlin, Heidelberg: Springer, 2013: 87-103.

Abstract

Ciupa I, Pretschner A, Oriol M, Leitner A, Meyer B: “On the number and nature of faults found by random testing”. Software Testing, Verification and Reliability. 2011; 21 (1): 3-28.

Abstract