• Dr. Andreas Metzger
  • Dr. Andreas Metzger

Dr. Andreas Metzger

Dr. Andreas Metzger   Position: Head of Adaptive Systems and Big Data Applications
Address: Universit├Ąt Duisburg-Essen
Gerlingstra├če 16
45127 Essen
Room: S-GW 008
Phone: +49 201 183 4650


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 currently is technical coordinator of the Big Data Value PPP lighthouse project TransformingTransport. He was member of the steering committee and management board of the European Network of Excellence on software, services and systems (S-Cube), chief technical architect of the European Future Internet PPP project FIspace (Future Internet Business Collaboration Networks in Agri-Food, Transport and Logistics).

Andreas Metzger is deputy general secretary of the Big Data Value Association (BDVA) and steering committee vice chair of the European Technology Platform NESSI (The Networked European Software and Services Initiative).

He has co-authored over 80 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.

Research Areas

  • Adaptive software engineering (Software, Services, Cloud)
  • Predictive Monitoring and Big Data Analytics
  • Future Internet Application (esp. domains transport and logistics)
  • Modelling and verification of variant-intensive systems