Dr. Norman Meuschke
Deputy Head of Group
(Senior Lecturer)
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 (esp. for text, images, and mathematical content)
- Natural Language Processing
- 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.
DOCTORAL THESIS
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
University of Konstanz, 2021.
Grade: summa cum laude (excellent)
Winner of the Airbus Research Award “Claude Dornier” 2022 (more information).
PDF | DOI | BibTeX | Springer Book
Resources for my thesis (Data and source code, recording and slides of my doctoral defense)
Ceremony for Airbus Research Award “Claude Dornier” 2022
TEACHING & PROJECTS
I very much enjoy collaborating with other researchers and students. If you 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.
SHORT CV
05/2022 – present
Researcher
Scientific Information Analytics Group, University of Göttingen
09/2018 – 04/2022
Researcher
Data & Knowledge Engineering Group, University of Wuppertal
03/2015 – 08/2018
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
SELECTED PUBLICATIONS
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
N. Meuschke
Springer Fachmedien, Wiesbaden, 2023.
(PDF DOI)
Incentive Mechanisms in Peer-to-Peer Networks — A Systematic Literature Review
C. Ihle, D. Trautwein, M. Schubotz, N. Meuschke, B. Gipp
ACM Computing Surveys, vol. 55, iss. 14, p. 308:1-308:69, 2023.
(PDF DOI)
Academic Plagiarism Detection: A Systematic Literature Review
T. Foltynek, N. Meuschke, B. Gipp
ACM Computing Surveys, vol. 52, iss. 6, p. 112:1-112:42, 2019.
(PDF DOI BibTeX)
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 DOI 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 DOI BibTeX)
MEDIA COVERAGE
Talk: KI — Fluch & Segen at faktor Business Lounge
Norman Meuschke gave a talk on the Opportunities and Risks of Artificial Intelligence at the 39th faktor Business Lounge. Read the report about the talk here or in the faktor magazine.
NDR Synapsen Podcast with Bela Gipp and Norman Meuschke
Bela Gipp and Norman Meuschke recently appeared on the ''Synapsen'' Science Podcast by NDR Info. Alternatively, you can listen to it on the NDR website. The topic of the episode was: Keine Angst vor Künstlicher Intelligenz? The podcast [...]
Norman Meuschke receives the Airbus Research Award Claude Dornier
We are delighted to announce that Dr. Norman Meuschke was awarded this year’s Airbus Research Award ‘Claude Dornier’ for his outstanding research achievements during his Ph.D. research. The award ceremony took place on July 14th, 2022, at the University of [...]
TV report on our plagiarism detection research
The regional TV station WDR reports on our plagiarism detection research and our system HyPlag. https://www.youtube.com/watch?v=Z8Xx5ZWDkbM
Newspaper FAZ reports on our research to detect and deter academic plagiarism
The Frankfurter Allgemeine Zeitung (FAZ) describes how our research on novel plagiarism detection methods and blockchain-backed decentralized trusted timestamping facilitates combating plagiarism and other forms of academic misconduct. Read the article on the FAZ website or here (click on the article to enlarge):
Editorial for the KlarText Award reports on our research on plagiarism detection and trusted timestamping
The KlarText Award recognizes excellent achievements in understandably communicating scientific findings to a general audience. The editorial for the KlarText Award 2020 discusses the longstanding problem of plagiarism and fraud in academia and presents our research on plagiarism detection and [...]
Funding approved for 3-year research project by the DFG (German Research Foundation)
We are happy to announce that the DFG (German Research Foundation), has awarded our group a research grant for our project: “Analyzing Mathematics to Detect Disguised Academic Plagiarism”. The total funding sum of 633,000 Euro will be made available over a 3-year period [...]
Newspaper WZ reports on our plagiarism detection system HyPlag
The Westdeutsche Zeitung interviewed our group member Norman Meuschke about HyPlag and our other efforts to aid in the prevention and detection of academic plagiarism. Read the report (in German).
University of Wuppertal reports on our HyPlag project
A news post (in German) featured on the main page of the University of Wuppertal’s website reports on our plagiarism detection research as part of the HyPlag project.
