Teodor Stoev is a scientific researcher who works in the DFG project BehavE. His research interests include knowledge-based models, domain knowledge extraction, heterogeneous data, sensor data analysis, machine learning, and artificial intelligence.

Email: teodor.stoev (at) uni-greifswald.de
Phone: +49 3834 420 5505
University of Greifswald
Felix-Hausdorff-Straße 18
17489 Greifswald



Short CV

  • Received the B.Sc. and M.Sc. degrees in computer science from the University of Rostock, Germany.
  • From 2017 to 2020, worked as a Student Trainee and a Research Assistant at one of the biggest German direct banks—the Comdirect Bank.
  • In May 2020, started working as a Researcher with the Junior Research Group, University of Rostock ‘‘Cognitive Methods for Situation-Aware Assistive Systems’’ (led by Dr.-Ing. Kristina Yordanova).
  • Co-Chair of the 5th and 6th ARDUOUS Workshop on data annotation, affiliated with PerCom2021 and PerCom2022 respectively.
  • In September 2022, started working at the University of Greifswald at the Institute of Data Science led by Prof. Dr.-Ing Kristina Yordanova.

Supervised Theses:

  • “Entwicklung einer Pipeline zur Merkmalsextraktion und automatischen Klassifikation von Erwachsenen-Bindungs-Interviews in Deutscher Sprache” / “Developing a pipeline for feature extraction and automated Classification of Adult Attachment Interviews in German.” (Master thesis, in cooperation with Universitätsmedizin Rostock)
  • “Extracting concepts and relationships for ontology generation from scraped internet forums' texts using semi‐supervised/unsupervised approaches” (Master thesis)
  • “Activity recognition using the kitchen task assessment (KTA) dataset” (Master thesis)
  • “Natural Language Processing für Meilensteinzuordnung im Bereich Containertransport ”/ “Natural Language Processing based milestone mapping for container shipment”  (Bachelor thesis in cooperation with Ocean Insights Rostock / project44)
  • “Verwendung von Texterkennungssystemen zur Informationsextraktion aus Rechnungsbelegen / “Using Text‐Recognition systems to Extract Information from Billing Receipts” (Bachelor thesis, in cooperation with vyble AG)


Co-chaired Workshops:

  • ARDUOUS 2021 (affiliated to the International Conference on Pervasive Computing and Communications (PerCom)).
  • ARDUOUS 2022 (affiliated to the International Conference on Pervasive Computing and Communications (PerCom)).
  • ARDUOUS 2023 (affiliated to the International Conference on Pervasive Computing and Communications (PerCom)).