Dr. Anna Fedorova
Dr. Anna Fedorova
ZHAW
School of Engineering
Responsible AI Innovation Group
Technikumstrasse 71
8400 Winterthur
Work at ZHAW
Position
- PhD researcher at the Centre for Artificial Intelligence, School of Engineering, since June 2024. I work in the EU-funded project AI4Realnet on the operationalisation of trustworthy AI in safety-critical infrastructure, developing and evaluating governance instruments together with European operators in railway, power grid and air traffic management. Alongside research, I organise the PhD Community of the School of Engineering and a monthly public meetup series on trustworthy AI, supported by the Digitalisation Initiative of the Canton of Zurich.
- Research. I work on the gap between AI regulation and development practice in safety-critical infrastructure, developing adoption-oriented instruments for different stages of the AI lifecycle: translating normative principles into system requirements, integrating them into engineering work, and structuring risks for assessment. Two instruments are in use, tested with European operators in railway, power grid and air traffic management within the EU-funded AI4Realnet project. Current interest: how the same governance expectations are operationalised under different regulatory logics. Activity. Teaching and thesis supervision in applied responsible AI development and AI risk assessment. Organiser of the PhD Community of ZHAW's School of Engineering and of a monthly public meetup series on trustworthy AI supported by the Digitalisation Initiative of the Canton of Zurich.
- PhD student
Focus
- - Operationalisation of trustworthy AI: translating regulatory and ethical requirements into system requirements and engineering practice - Requirements engineering for AI systems in safety-critical infrastructure - Risk assessment and risk management for AI, coupled to the development process - Trade-off analysis between trustworthiness dimensions in AI systems - Comparative AI governance across regulatory regimes
- Trustworthy AI in critical infrastructure
Teaching
Teaching Assistant, Artificial Intelligence 2 (Spring 2025). Teaching in AI risk assessment. Supervision of Bachelor's theses and Master's projects on applied responsible AI development.
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
Network
Membership of networks
Social media
Projects
- Trustworthy AI Circle / Project leader / ongoing
- AI for REAL-world NETwork operation / Team member / ongoing
- Apéro Digital: Event Series / Team member / completed
Publications
Book chapters, peer-reviewed
Bessa, R. J. et al. (2026) 'Toward a holistic framework for human-AI collaboration in safety-critical systems', in Curry, E. et al. (eds) Artificial intelligence, data and robotics : foundations, transformations and future directions. Cham: Springer, pp. 343–402. doi: 10.1007/978-3-032-10561-5_13.
Written conference contributions, peer-reviewed
Fedorova, A. et al. (2025) 'Continuous assessment-driven requirement elicitation for trustworthy AI systems', in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 15-19 September 2025. Zenodo. doi: 10.5281/zenodo.17099001.