Adarsh Agarwal
Mitglied der Arbeitsgruppe LeAnDaLi (Learning Analytics und Data Literacy). My work focuses on designing and implementing data-driven learning tools and interactive platforms. As part of the KIBI Project and other projects, I am also exploring the development of a Student–Teacher type large language model (LLM) aimed at enhancing personalized learning experiences.
My research interests extend to AI applications in the biomedical domain, where I work on deep learning models for biomedical signal processing (EEG, ECG) and medical image analysis. This includes processing cellular and vascular imaging data to extract intricate features and identify potential disease markers, bridging the gap between computational methods and translational medical research.
Forschungsinteressen
- Large Language Models & AI in Education
- Data Literacy & Learning Analytics
- Biomedical Signal Processing (EEG, ECG)
- Medical Image Analysis & Feature Extraction
Forschungsprojekte