Dr. Maral Dadvar

Research Fellow

Dr. Dadvar is an expert in natural language processing with a PhD in computer science from University of Twente, Netherlands. Her prior research focused on cyber-bullying detection in social networks. Within the FID Judaica project, she will combine NLP techniques with identity resolution approaches to facilitate rich data integration.

Students interested in writing a Bachelor or Master thesis in this field are very welcome to get in touch.



  • Matias Frosterus, David Hansson, Maral Dadvar, Ilias Kyriazis, Sofia Zapounidou and Friedel Grant: Best Practices for Library Linked Open Data (LOD) Publication, DOI 10.5281/zenodo.4572501, LIBER, Ligue des Bibliothèques Européennes de Recherche, Association of European Research Libraries, 2021.
  • Ugo Arbieu, Kathrin Helsper, Maral Dadvar, Thomas Mueller and Aidin Niamir: Natural Language Processing as a tool to evaluate emotions in conservation conflicts in Biological Conservation 256, pp. 109030, ISSN 0006-3207, DOI 10.1016/j.biocon.2021.109030, 2021.


  • Maral Dadvar and Kai Eckert: Cyberbullying Detection in Social Networks Using Deep Learning Based Models in Big Data Analytics and Knowledge Discovery, pp. 245-255, ISBN 978-3-030-59065-9, Springer International Publishing Cham, 2020.




  • Maral Dadvar and Kai Eckert: JudaicaLink: A Knowledge Base for Jewish Culture and History in Data Sharing Documentation and Digital Humanities workshop Venice, Italy, 2017.
  • Maral Dadvar, Rachel Heuberger, Annette Sasse and Kai Eckert: Automatic NLP-based Classification of Jewish Studies Titles in 41st European Library Automation Group Conference (ELAG2017), DOI 10.13140/RG.2.2.26020.07045 Athens, Greece, 2017.


  • Maral Dadvar and Aidin Niamir: Adopting MaxEnt to Identification of Bullying Incidents in Social Networks in 27th DEXA Conferences and Workshops, DOI 10.13140/RG.2.2.19904.12802 Porto, 2016.
  • Maral Dadvar and Franciska Jong: The Need for Joint Societal and Technical Solutions for Online Misbehaviour in 4th Conference of the European Society for Research on Internet Interventions, DOI 10.13140/RG.2.1.1721.1122 Bergen, 2016.


  • Maral Dadvar and Aidin Niamir: Maximum Entropy Modelling of Bully Users in Social Networks in Neural Information Processing Systems (NIPS), DOI 10.13140/RG.2.1.1772.7445, 2015.





Name: Maral Dadvar
Project: FID Judaica
Research topic: Natural Language Processing, Identity Resolution, Semantic Web