Curriculum Vitae and Publications of Ankit Satpute

Ankit Satpute finished his Master’s studies in Computer Science for digital media at Bauhaus University Weimar. During his Master’s studies, he worked in plagiarism detection, developing his interest in the topic. He also contributed to projects in Computer Vision during his Bachelor’s and Master’s studies. He closely collaborates with mathematicians and 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

• Plagiarism Detection
• Information Retrieval
• Recommender System
• Neural Networks

Teaching & Projects
Ankit takes great pleasure in working alongside fellow researchers and students. For bachelor’s or master’s project or thesis, please see the various topics Ankit offers related to all his research areas at our students corner.

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

Google Scholar Profile

Gießing, Noah; Deb, Madhurima; Satpute, Ankit; Schubotz, Moritz; Teschke, Olaf
Reducing the climate impact of data portals: a case study
Accepted for publication at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24), Washington D.C., USA, 14-18 July, 2024
Available on arXiv, 2024; 5 p.
DOI: 10.48550/arXiv.2406.03858

Satpute, Ankit
Analyzing Mathematical Content for Plagiarism and Recommendations
In: Advances in Information Retrieval: Conference Proceedings of the 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK,  March 24-28, 2024, Proceedings, Part V / Goharian, Nazli et al. (eds.); Cham: Springer; 2024; ISBN 978-3-031-56069-9; Lecture Notes in Computer Science 14612, p. 334-337
DOI: 10.1007/978-3-031-56069-9_42

Satpute, Ankit; Gießing, Noah; Greiner-Petter, André; Schubotz, Moritz; Teschke, Olaf; Aizawa, Akiko; Gipp; Bela
Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange
In: SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington D.C., USA, 14-18 July, 2024; acm Association for Computing Machinery, 2024; ISBN 979-8-4007-0431-4; p. 2316–2320
DOI: 10.1145/3626772.3657945
DOI: 10.48550/arXiv.2404.00344

Satpute, Ankit; ... Gießing, Noah; Beckenbach, Isabel; Schubotz, Moritz; Teschke, Olaf et al.
Taxonomy of Mathematical Plagiarism
In: Advances in Information Retrieval: Conference Proceedings of the 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK,  March 24-28, 2024, Proceedings, Part IV / Goharian, Nazli et al. (eds.); Cham: Springer; 2024; ISBN 978-3-031-56066-8; Lecture Notes in Computer Science 14611, ECIR: European Conference on Information, p. 12-20
DOI: 10.1007/978-3-031-56066-8_2

Satpute, Ankit; ... Schubotz, Moritz; ... Teschke, Olaf et al.
TEIMMA: The First Content Reuse Annotator for Text, Images, and Math
In: Proceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Santa Fe, NM, USA, June 26-30, 2023, 2023; ISBN 979-8-3503-9931-8;  p. 271-273
DOI: 10.1109/JCDL57899.2023.00056

Schubotz, Moritz; Satpute, Ankit; Greiner-Petter, Andre et al.
Caching and Reproducibility: Making DataScience experiments faster and FAIRer
Frontiers in research metrics and analytics, 2022; Vol. 7
DOI: 10.3389/frma.2022.861944

Satpute, Ankit; Debus, Paul
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)

Ankit Satpute

Papendiek 14
37073 Göttingen
Germany

Office: SUB Historic Building 0.211 (öffnet in einem neuen Tab)

FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur GmbH
Department of Mathematics
Franklinstr. 11
10587 Berlin

Mail: Ankit.Satpute [at] fiz-karlsruhe.de (Ankit[dot]Satpute[at]fiz-karlsruhe[dot]de)

Mobile: +49 (0) 17679007981