Katerina Prohaska

Katerina Prohaska is a researcher affiliated with the Faculty of Engineering at the University of Vienna. She holds a PhD in Chemistry (2003) and a Magisterium (1996), both from the University of Vienna. Her primary research focuses on Surface-Enhanced Raman Spectroscopy (SERS), metal nanoparticles, and their applications in biomedical diagnostics, particularly in oncology and hematology. She is currently involved in the Ra-Dia-M project (2022–2025), developing reproducible SERS techniques for melanoma cell diagnosis. Her work integrates nanotechnology, machine learning, and analytical chemistry to advance diagnostic tools.

Key research interests include nanoparticle functionalization for targeted SERS, metabolic profiling of cancer cells, and algorithm optimization for spectral data analysis. Recent publications explore oncometabolite detection in Hodgkin lymphoma, machine learning comparisons for cell classification, and click chemistry modifications for SERS substrates.

Prohaska collaborates with experts like Barbara Herbinger and Daniela Lilek on interdisciplinary projects. She has contributed to 22+ research outputs since 1999, with active publications in 2023–2024 emphasizing translational applications of SERS in clinical settings. No scientific awards are explicitly mentioned in the provided information.