Curriculum Vitae and Publications Mahsa Vafaie

Education

• 2020 - present: PhD student/Junior Researcher, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure and Karlsruhe Institute of Technology (KIT), Institute of Applied Informatics and Formal Description Methods (AIFB)
• 2015 - 2017: Master of Science in Language and Communication Technologies, University of Saarland, Germany/University of the Basque Country, Spain (Erasmus Mundus Joint Degree)
• 2012 - 2014: Master of Science in Computational Linguistics, Sharif University of Technology, Iran
• 2008 - 2012: Bachelor of Arts in Persian Language and Literature, University of Tehran, Iran

Master's Thesis

• Mahsa Vafaie, Dialect normalisation with deep learning-based automatic speech recognition, 2020.
  Supervisor: Inma Hernaez, Joseph Van Genabith, Jon Dehdari

Supervision Experience

• Bachelor Theses:
  Anastasia Prikhodina: Handwritten and Printed Text Separation For Historical Documents, 2021, DOI: 10.5445/IR/1000141960,  [local copy (PDF)]. 

• Digital Humanities
• NLP for Under-resourced Languages
• Machine Learning
• Semantic Web

Citations

Mahsa Vafaie @ Google Scholar
Mahsa Vafaie @ DBLP
Mahsa Vafaie @Scopus

• M. Vafaie, J. Waitelonis, H. Sack: Improvements in Handwritten And Printed Text Separation in Historical Archival Documents. In Proc. of Archiving Conference, 2023, pp 36-41, online at https://doi.org/10.2352/issn.2168-3204.2023.20.1.0 [local copy (PDF)|BibTeX]
• M.Vafaie, J.Dehdari:
  Speech Recognition for Persian,
  In: Persian Computational Linguistics and NLP / Marszałek-Kowalewska, Katarzyna (ed.); Berlin, Boston: De Gruyter Mouton, 2023; 258 p.; ISBN 978-3-11-061922-5; The Companions of Iranian Languages and Linguistics [CILL] 2, p. 85-104
  DOI: 10.1515/9783110619225-004
• J. Vrolijk, I. Reklos, M. Vafaie, A. Massari, M. Mohammadi and S. Rudolph: Towards a Methodology Comparison Framework for Interactive Ontology Enrichment. In Proc. of the 7th International Workshop on Visualization and Interaction for Ontologies and Linked Data (VOILA 2022) co-located with the 21st International Semantic Web Conference (ISWC 2022), [local copy (PDF)].
• M. Vafaie, O. Bruns, N. Pilz, J. Waitelonis, H. Sack: Handwritten and Printed Text Identification in Historical Archival Documents. In Proc. of Archiving Conference, 2022, pp 15-20, online at https://doi.org/10.2352/issn.2168-3204.2022.19.1.4 [local copy(PDF)|BibTeX]
• M. Vafaie, O. Bruns, N. Pilz, D. Dessì, H. Sack: Modelling Archival Hierarchies in Practice: Key Aspects and Lessons Learned. In Proc. of the 6th International Workshop on Computational History (Histoinformatics2021), co-located with JCDL2021. CEUR workshop proceedings, vol. 2981, CEUR-WS.org, online at http://ceur-ws.org/Vol-2981/paper6.pdf, [local copy(PDF) | (BibTeX)]
• O. Bruns, T. Tietz, M. Vafaie, D. Dessì, H. Sack: Towards a Representation of Temporal Data in Archival Records: Use Cases and Requirements. In Proceedings of the International Workshop on Archives and Linked Data (LinkedArchives), co-located with the 25th International Conference on Theory and Practice of Digital Libraries (TPDL 2021), CEUR workshop proceedings, vol. 3019,128-134, CEUR-WS.org, online at http://ceur-ws.org/Vol-3019/. [local copy(PDF) | (BibTeX)]
• M. Vafaie, D. McDonald: Science, technology and lived experience in the Global South: viral events, resistance and control. 17th Annual STS Conference Graz. 2018.
• D. McDonald, E. Wandl-Vogt, M. Vafaie: Integrating crowdsourcing and the blockchain for natural language data collection: novel methods, use-cases and debates. The DH Budapest Conference. 2018.

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