Dr. Anna Fedorova
Dr. Anna Fedorova
ZHAW
School of Engineering
Responsible AI Innovation Group
Technikumstrasse 71
8400 Winterthur
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
- AI for REAL-world NETwork operation / Team member / ongoing
- Apéro Digital: Event Series / Team member / completed
Publications
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Bessa, Ricardo J.; Leyli-Abadi, Milad; Yagoubi, Mouadh; Boos, Daniel; Borst, Clark; Castagna, Alberto; Chavarriaga, Ricardo; Dias, Duarte; Egli, Adrian; Eisenegger, Andrina; Ellerbroek, Joost; Fedorova, Anna; Felix, Cristina; Fuxjäger, Anton; Geraldes, Joaquim; Hamouche, Samira; Hassouna, Mohamed; Kop, Sjoerd; Lemetayer, Bruno; Leto, Giulia; Liessner, Roman; Lundberg, Jonas; Marot, Antoine; Meddeb, Maroua; Meyer, Manuel; Sales, Hélio; Schiaffonati, Viola; Schneider, Manuel; Sturm, Irene; Usher, Julia; Van Hoof, Herke; Viebahn, Jan; Wäfler, Toni; Zanotti, Giacomo,
2026.
Toward a holistic framework for human-AI collaboration in safety-critical systems.
In:
Curry, Edward; Piatkiewicz, Philip; Heintz, Fredrik; Vornhagen, Heike; Belbachir, Ahmed Nabil; Girardi, Emanuela; Schoenauer, Marc; Röning, Juha, eds.,
Artificial intelligence, data and robotics : foundations, transformations and future directions.
Cham:
Springer.
pp. 343-402.
Available from: https://doi.org/10.1007/978-3-032-10561-5_13
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Fedorova, Anna; Stefani, Wolfgang; Heitz, Christoph; Chavarriaga, Ricardo,
2025.
Continuous assessment-driven requirement elicitation for trustworthy AI systems[paper].
In:
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 15-19 September 2025.
Zenodo.
Available from: https://doi.org/10.5281/zenodo.17099001