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  • Dr. Andreas Metzger
  • Dr. Andreas Metzger

Dr. Andreas Metzger

  Position: Head of Adaptive Systems and Future Internet Applications
Address: University of Duisburg-Essen
Gerlingstra├če 16
45127 Essen
Germany
Room: S-GW 008
Telephone: +49 201 183 4650
E-Mail: andreas.metzger (at) paluno.uni-due.de
Office hours:  Upon request

 

Personal Profile

Andreas Metzger received his Diploma and his Ph.D. in computer science from the Technical University of Kaiserslautern in 1998 and 2004, respectively. He is currently senior academic councilor and head of adaptive systems and Future Internet applications at paluno, the Ruhr Institute for Software Technology of the University of Duisburg-Essen (Germany). Previously he has been research assistant at the Technical University of Kaiserslautern working on the topic of model-driven software development. His research interests include monitoring and adaptation of service-based applications, cloud systems and business processes. He was member of the steering committee and management board of the European Network of Excellence on software, services and systems (S-Cube), and is now chief technical architect of the European Future Internet Public Private Partnership project on transport, logistics and agri-food (FIspace).

He has co-authored over 60 papers, articles and book chapters, including Automated Software Engineering, Communications of the ACM and the International Conference on Software Engineering (ICSE). He acted as program committee member for numerous international conferences and workshops, such as the European Software Engineering Conference (ESEC/FSE) and the International Software Product Line Conference (SPLC), and co-organized 15 international workshops and conference tracks. He is member of the IFIP Working Group Services-Oriented Systems and the European Future Internet Public Private Partnerships Architecture Board.

Research Areas:

  • Adaptive software engineering and service-based systems engineering
  • Proactive adaptation and quality prediction (incl. online testing and run-time verification)
  • Modelling and verification of variant-intensive systems
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