Dr. Anna Fedorova

ZHAW School of Engineering
Responsible AI Innovation Group
Technikumstrasse 71
8400 Winterthur

anna.fedorova@zhaw.ch

Work at ZHAW

Position

PhD student

Focus

Trustworthy AI in critical infrastructure

Experience

IT Business Consultant
Senacor Technologies AG
2017 - 2024
Research assistant
Otto-von-Guericke University Magdeburg
2012 - 2016

Education and Continuing education

Education

MSc / Data Science and Intelligent Analytics
University of Applied Sciences Kufstein
2021 - 2023
PhD / Werkstofftechnik
Otto-von-Guericke University Magdeburg
2013 - 2016
MSc / Metall science and heat treatment
National Technical University of Ukraine "KPI"
2010 - 2012
MSc / Mechanical Process Engineering
Otto-von-Guericke University Magdeburg
2010 - 2012
BSc / Metall science and heat treatment
National Technical University of Ukraine "KPI"
2006 - 2010

Projects

Publications

Book chapters, peer-reviewed

Bessa, R. J., Leyli-Abadi, M., Yagoubi, M., Boos, D., Borst, C., Castagna, A., Chavarriaga, R., Dias, D., Egli, A., Eisenegger, A., Ellerbroek, J., Fedorova, A., Felix, C., Fuxjäger, A., Geraldes, J., Hamouche, S., Hassouna, M., Kop, S., Lemetayer, B., et al. (2026). Toward a holistic framework for human-AI collaboration in safety-critical systems. In E. Curry, P. Piatkiewicz, F. Heintz, H. Vornhagen, A. N. Belbachir, E. Girardi, M. Schoenauer, & J. Röning (Eds.), Artificial intelligence, data and robotics : foundations, transformations and future directions (pp. 343–402). Springer. https://doi.org/10.1007/978-3-032-10561-5_13

Written conference contributions, peer-reviewed

Fedorova, A., Stefani, W., Heitz, C., & Chavarriaga, R. (2025, September 11). Continuous assessment-driven requirement elicitation for trustworthy AI systems. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 15-19 September 2025. https://doi.org/10.5281/zenodo.17099001

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