Contact
Norman Meuschke
Chair of Digital Media
University of Wuppertal
School of Electrical
Information and Media Engineering
Rainer-Gruenter-Str. 21
D-42119 Wuppertal
Office: FC 1.19
Phone: +49 (0)202 439 1618
Social network profiles
Norman Meuschke

Doctoral Researcher
Office: FC 1.19
RESEARCH INTERESTS
My main research interests are methods for semantic similarity analysis and their application for information retrieval. Beyond my core research, I am interested in applied data science and knowledge management challenges and the application of blockchain technology to tackle these challenges.
My research spans the fields of:
- Information Retrieval for text, images, and mathematical content
- Plagiarism Detection
- Citation and Link Analysis
- Blockchain Technology
- Information Visualization
For details on specific projects, please see the links on the right or my publications below.
SHORT CV
09/2018 - present | Doctoral Researcher Chair of Media Technology, University of Wuppertal |
03/2015 - 08/2018 | Doctoral Researcher Information Science Group, University of Konstanz |
03/2014 - 02/2015 | Visiting Researcher National Institute of Informatics Tokyo, Japan |
08/2011 - 02/2014 | Visiting Researcher University of California, Berkeley, US |
TEACHING & PROJECTS
I very much enjoy collaborating with other researchers and students. If your are interested in my research, please do not hesitate to contact me. If you are a student looking for a bachelor's or master's project or thesis, please see the various topics I offer related to all areas of my research at our students corner.
SELECTED PUBLICATIONS
A complete list of my publications is available here.
HyPlag: A Hybrid Approach to Academic Plagiarism Detection N. Meuschke, V. Stange, M. Schubotz, B. Gipp Proc. Int. ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR), 2018 (PDF) BibTeX |
An Adaptive Image-based Plagiarism Detection Approach N. Meuschke, C. Gondeck, D. Seebacher, C. Breitinger, D. Keim, B. Gipp Proc. ACM / IEEE-CS Joint Conf. on Digital Libraries (JCDL), 2018 (PDF) BibTeX |
Analyzing Mathematical Content to Detect Academic Plagiarism N. Meuschke, M. Schubotz, F. Hamborg, T. Skopal, B. Gipp Proc. ACM Int. Conf. on Information and Knowledge Management (CIKM), 2017. (PDF) BibTeX |
Analyzing Semantic Concept Patterns to Detect Academic Plagiarism N. Meuschke, N. Siebeck, M. Schubotz, B. Gipp Proc. 6th Int. WS on Mining Scientific Publications (WOSP) held at ACM / IEEE-CS Joint Conf. on Digital Libraries (JCDL), 2017. (PDF) BibTeX |
State of the Art in Detecting Academic Plagiarism N. Meuschke, B. Gipp Int. Journal for Educational Integrity, vol. 9, iss. 1, pp. 50-71, 2013. (PDF) |