Fatemeh Ghoochani

Portrait
21335 Lüneburg, Universitätsallee 1, C4.308a
fatemeh.ghoochani@leuphana.de
Research associate, Professorship of Information Systems, in particular Data Science

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Publications

Contributions to collected editions/anthologies

  1. From Feedback to Formative Guidance: Leveraging LLMs for Personalized Support in Programming Projects
    Fatemeh Ghoochani (Author) , Jonas Scharfenberger (Author) , Burkhardt Funk (Author) , Raoul Doublan (Author) , Mayur Jakharabhai Odedra (Author) , Bennet Etsiwah (Author) , 12.06.2025 , p. 398-403 , 6 p.

    Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review

  2. Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions
    Fatemeh Ghoochani (Author) , Soumyadeep Roy (Author) , Aparup Khatua (Author) , Uwe Hadler (Author) , Wolfgang Nejdl (Author) , Niloy Ganguly (Author) , 11.07.2024 , p. 1073-1082 , 10 p.

    Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review

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Courses

Information Extraction
Fatemeh Ghoochani, Laurin Luttmann
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This course introduces the fundamentals and modern methods of Information Extraction (IE). Students learn classical rule-based and statistical techniques as well as machine-learning and neural approaches, ending with LLM-based structured extraction. The course includes practical implementation of IE pipelines using Python and Pydantic for schema definition and validation.
Next appointment:
Monday, 2026-04-27 at 10:15
Room: C 40.220 Seminarraum