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  Anastasia Prikhodina: Handwritten and Printed Text Separation For Historical Documents, 2021, DOI: 10.5445/IR/1000141960,  [local copy (PDF)].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

• M. Vafaie, O. Bruns, N. Pilz, D. Dessì, H. Sack: Modelling Archival Hierarchies in Practice: Key Aspects and Lessons Learned. In Proceedings 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/ [local copy(PDF)]
• 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)]
• M. Vafaie, J. Dehdari: Speech Recognition for Persian. The Handbook of Persian Computational Linguistics and Natural Language Processing. TBP. de Gruyter Mouton
• 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.