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)

Publications:

  •  F. Wagner, T. Stoev, K. Yordanova (2025). Low-Cost Sensor-based Error Detection System for Coffee Preparation: A Demonstration. 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE Computer Society.
  • K. Y. Yordanova, T. Stoev, H. Rebl, O. Hahn, K. Peters (2025). Text2RLab: No-Code Methodology for Robotic Programming and Interaction in Laboratory Tasks. Companion Proceedings of the 30th International Conference on Intelligent User Interfaces, 96–100.
  • T. Stoev, et al. (2025). Towards Automated Classification of Adult Attachment Interviews in German Language Using The BERT Language Model. IEEE Access.
  • S. Suravee, T. Stoev, K. Yordanova, S. Konow (2024). Assessing Large Language Models for annotating data in Dementia-Related texts: A Comparative Study with Human Annotators. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft für Informatik (GI).
  • T. Stoev, S. Suravee, K. Yordanova (2024). Variability of annotations over time. An experimental study in the dementia-related named entity recognition domain. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft für Informatik (GI).
  • D. Yadav, E. Tonkin, T. Stoev, K. Yordanova (2024). A Comparative Analysis on Machine Learning Techniques for Research Metadata: the ARDUOUS Case Study. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft für Informatik (GI).
  • S. Zolfaghari, T. Stoev, K. Yordanova (2024). Enhancing kitchen activity recognition: A benchmark study of the Rostock KTA dataset. IEEE Access 12, 14364–14384.
  • T. Stoev, S. Suravee, K. Yordanova (2023). Experiencing Annotation: Emotion, Motivation and Bias in Annotation Tasks. 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE
  • T. Stoev, A. Ferrario, B. Demiray, M. Luo, M. Martin, K. Yordanova (2021). Coping with imbalanced data in the automated detection of reminiscence from everyday life conversations of older adults. IEEE Access 9, 116540–116551.
  • S. Suravee, T. Stoev, D. Schindler, I. Hochgraeber, C. Pinkert, B. Holle, M. Halek, F. Krüger, K. Yordanova (2022). Annotation Scheme for Named Entity Recognition and Relation Extraction Tasks in the Domain of People with Dementia. 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom).
  • T. Stoev, K. Yordanova (2021). BehavE: Behaviour Understanding Through Automated Generation of Situation Models. KI 2021: Advances in Artificial Intelligence, 362–369.

Co-chaired Workshops:

  • ARDUOUS 2025 (affiliated to European Conference on Artificial Intelligence 2025, Italy)
  • ARDUOUS 2024 (affiliated to Informatik Festival 2024, Germany)
  • ARDUOUS 2023 (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 2021 (affiliated to the International Conference on Pervasive Computing and Communications (PerCom)).