Michael Stein

nameMichael Stein
positionResearch Assistant
eMailstein (AT)tk(DOT)tu-darmstadt(DOT)de
phone+49 (6151) 16 - 23196
fax+49 (6151) 16 - 23202
officeS2|02 A124
postal addressTU Darmstadt - FB 20
FG Telekooperation
Hochschulstraße 10
D-64289 Darmstadt

Academic Education

2012: B.Sc. in Computer Science at TU Darmstadt

2014: M.Sc. in Computer Science at TU Darmstadt

Since 2014: PhD student at the Telecooperation Lab (TU Darmstadt)


I am a member of sub-project A01 in the CRC 1053 (MAKI). This sub-project focusses on the systematic development of distributed and self-organizing adaptation mechanisms for communication topologies. I particularly conduct research in the field of local algorithms. These are robust and scale well with the network size. However, in communication networks, there often exists a trade-off between the degree of locality of an algorithm and the achieved performance. An interesting challenge is to control this trade-off with respect to given requirements.


Additional Attributes


Can We Find Better Process Models? Process Model Improvement using Motif-based Graph Adaptation

Alexander Seeliger, Michael Stein, Max Mühlhäuser
In: 13th International Workshop on Business Process Intelligence 2017 (to appear), Vol. 13, September 2017

A Classification of Locality in Network Research

Michael Stein, Mathias Fischer, Immanuel Schweizer, Max Mühlhäuser
In: ACM Computing Surveys, Vol. 50, p. 53:1-53:37, August 2017
[Online-Edition: https://dl.acm.org/authorize?N45416]

cMoflon: Model-Driven Generation of Embedded C Code for Wireless Sensor Networks

Roland Kluge, Michael Stein, David Giessing, Andy Schürr, Max Mühlhäuser
In: Proceedings of the European Conference on Modelling Foundations and Applications (ECMFA), July 2017
[Online-Edition: http://ecmfaconference.wixsite.com/ecmfa2017]

Router-based Brokering for Surrogate Discovery in Edge Computing

Julien Gedeon, Christian Meurisch, Disha Bhat, Michael Stein, Lin Wang, Max Mühlhäuser
In: International Workshop on Hot Topics in Planet-­Scale Mobile Computing and Online Social Networking (HotPOST'17), p. 1-6, June 2017

Beyond the Core: Enabling Software-defined Control at the Network Edge

Jens Heuschkel, Michael Stein, Lin Wang, Max Mühlhäuser
In: Proceedings of the Workshop on Software-Defined Networking and Network Function Virtualization for Flexible Network Management (SDNFlex), p. 1-6, March 2017
[Online-Edition: http://sdnflex.org/]

A systematic approach to constructing families of incremental topology control algorithms using graph transformation

Roland Kluge, Michael Stein, Gergely Varró, Andy Schürr, Matthias Hollick, Max Mühlhäuser
In: Software & Systems Modeling, p. 1-41, March 2017
[Online-Edition: https://link.springer.com/article/10.1007%2Fs10270-017-0587-8]

Distributed Graph-based Topology Adaptation using Motif Signatures

Michael Stein, Karsten Weihe, Augustin Wilberg, Roland Kluge, Julian Klomp, Mathias Schnee, Lin Wang, Max Mühlhäuser
In: Proceedings of the ACM-SIAM Meeting on Algorithm Engineering & Experiments (ALENEX), p. 1-12, January 2017
[Online-Edition: http://www.siam.org/meetings/alenex17/]

VirtualStack: SDN-controlled Transparent Protocol Transitions at the Edge

Jens Heuschkel, Michael Stein, Max Mühlhäuser
In: Demonstrations of the IEEE Conference on Local Computer Networks (LCN), p. 1-3, November 2016
[Online-Edition: http://www.ieeelcn.org]

Evaluation Study for Clustering in Wireless Sensor Networks

Michael Stein, Dominic Lerbs, Mohamed Hassan, Mathias Schnee, Immanuel Schweizer, Karsten Weihe, Max Mühlhäuser
In: Proceedings of IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), p. 1-6, July 2016
[Online-Edition: http://www.csndsp16.com/]

TARL: Modeling Topology Adaptations for Networking Applications

Michael Stein, Alexander Frömmgen, Roland Kluge, Frank Löffler, Andy Schürr, Alejandro Buchmann, Max Mühlhäuser
In: Proceedings of the IEEE/ACM 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), p. 57-63, May 2016
[Online-Edition: http://dl.acm.org/citation.cfm?id=2897061]
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