Simone Sandler

Simone Sandler is a Researcher at the University of Applied Sciences Upper Austria (FH Hagenberg), affiliated with the Research Center Hagenberg, AIST Bioinformatics Center of Excellence, Medical Engineering/TIMed Center, and Digital Media Lab. Her work focuses on ICT-driven solutions across multiple domains including e-commerce, healthcare, and risk management.

Her research spans Machine Learning, Natural Language Processing, and Web Data Processing, with specific expertise in LLM-based fact checking, self-repairing data scraping systems, and patient medical record analysis. Current projects include CRISAM® Loop for AI-based risk management, where she serves as Co-Investigator.

Analysis of her 2022-2025 publications reveals a strong trend toward Human-Centered AI applications, particularly in e-commerce customer journey optimization and healthcare analytics. Her work consistently integrates LLMs with traditional data engineering approaches to solve real-world problems in scalable systems.

She actively participates in conferences including ICECCME 2023-2024, presenting research on data scraping, customer journey optimization, and health informatics. Her h-index of 4 (1 citation) reflects early-career research impact.

Sandler collaborates extensively with researchers like Oliver Krauss and Andreas Stöckl across interdisciplinary projects. Her work bridges theoretical AI research with practical implementations in medical engineering and digital media contexts.