Ankit Satpute
Doctoral Researcher
BIOGRAPHY
Ankit has finished his Master’s in Computer Science for digital media from Bauhaus University Weimar. During his master’s, he worked in plagiarism detection, developing his interest in the topic. He has also contributed to projects in Computer Vision during his Bachelor’s and Master’s studies. He closely works with mathematicians & researchers from FIZ Karlsruhe, Berlin, to develop a mathematics-aware recommender system and math information retrieval system. He is an offsite collaborator at the National Institute of Informatics, Tokyo, Japan.
RESEARCH INTERESTS
My research interests lie in the following areas:
- Plagiarism Detection
- Information Retrieval
- Recommender System
- Neural Networks
TEACHING & PROJECTS
I take great pleasure in working alongside fellow researchers and students. Should my research intrigue you, feel free to reach out to 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 my research areas at our students corner.
[Every Summer & Winter Semester]
SHORT CV
04/2022 – present
Doctoral Researcher
Chair for Scientific Information Analytics, Georg August University of Göttingen, Göttingen, Germany
12/2021 – present
Researcher
FIZ-Karlsruhe Leibniz Institute for Information Infrastructure, Berlin, Germany.
11/2022 – 04/2023
Visiting Researcher
National Institute of Informatics, Tokyo, Japan.
7/2020 – 11/2021
Research Assistant
Deutsches Zentrum für Luft- und Raumfahrt (DLR): Institut für Datenwissenschaften, Jena, Germany
10/2019 – 11/2021
Research Assistant
Web technology and Information systems – Bauhaus University Weimar, Germany
04/2019 – 09/2021
Computer Science for Digital Media, M.Sc.
Bauhaus University Weimar, Germany
SELECTED PUBLICATIONS
A. Satpute, N. Giessing, A. Greiner-Petter, M. Schubotz, O. Teschke, A. Aizawa, and B. Gipp, “Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange,” in 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24), Washington, USA, 2024.
(PDF)
A. Satpute, A. Greiner-Petter, N. Giessing, I. Beckenbach, M. Schubotz, O. Teschke, A. Aizawa, and B. Gipp, “Taxonomy of Mathematical Plagiarism,” in 46th European Conference on Information Retrieval (ECIR), Glasgow, Scotland, 2024.
(PDF)
A. Satpute, “Analyzing Mathematical Content for Plagiarism and Recommendations,” in 46th European Conference on Information Retrieval (ECIR), Glasgow, Scotland, 2024.
(PDF)
A. Satpute, A. Greiner-Petter, M. Schubotz, N. Meuschke, A. Aizawa, O. Teschke, and B. Gipp, “TEIMMA: The First Content Reuse Annotator for Text, Images, and Math,” in 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2023.
(PDF DOI)
M. Schubotz, A. Satpute, A. Greiner-Petter, A. Aizawa, and B. Gipp, “Caching and Reproducibility: Making Data Science Experiments Faster and FAIRer,” Frontiers in Research Metrics and Analytics, vol. 7, 2022.
(PDF DOI)
A Satpute, P Debus. Path Planning Challenge – Evaluation and Comparison of UAS-Flight Path Planning Algorithms for the Inspection of Infrastructures. Forum Bauinformatik 2021 32 (1), 308-315.
(PDF)
