Judita Rudokaitė

Judita Rudokaitė is a Researcher at Tilburg University's Department of Cognitive Science and Artificial Intelligence, part of the Tilburg School of Humanities and Digital Sciences. She holds a doctoral degree (awarded in 2024) and has been actively involved in research addressing vasovagal reactions (VVRs) during blood donation through facial analysis technologies.

Education: Doctoral Thesis (2024) - 'AINAR: Artificial Intelligence for Needle Anxiety Reduction' (Ridderprint).

Research Focus: Her work combines machine learning, facial expression analysis, and thermal imaging to predict and mitigate vasovagal reactions and needle anxiety. Key areas include:

• Prediction of VVRs using facial action units and video data
• Development of contactless e-health solutions
• Integration of biofeedback mechanisms in smartphone applications (e.g., AINAR game)

Key Contributions: Published 5 peer-reviewed articles (2022–2025) on clinical applications of AI, including models like ResNet152 with GRU/LSTM for VVR prediction. Co-investigator in NWO-funded projects (€290K+ total) focused on needle anxiety reduction and blood donation safety.

Grants & Projects:

• PRIMA: NWO Open Science XS (€50,000) - Prevention of low hemoglobin via image analysis (2023–2024)
• NWO Take-Off Phase 2 (€250,000) - Venipuncture-related fainting prevention (2023–2025)

Data Contributions: Released datasets on facial action units and virtual blood donation studies via DataverseNL (2024).