Since 2011, Anna Kalyuzhnaya has participated in projects to develop and maintain the Flood Prevention System in St. Petersburg for the St. Petersburg Flood Barrier (customer – BCC Company), and in projects focused on scientific research in the estimation and forecast of extreme metocean events. She also participates in many R&D projects and is a part of the team of International Research and Educational Centre of ICT collaborative type - TROIKA (Technology and Research On Information-driven Knowledge Alliance).
In 2014, Anna defended her thesis, Methods and Technologies for Computational Uncertainty Management of St. Petersburg Flood Prevention System. Her research focuses on metocean processes simulation, probabilistic modeling and statistical analysis, and data assimilation methods.
Anna Kalyuzhnaya teaches the following courses:
- Probabilistic modelling (Master program: Supercomputing Technologies in Interdisciplinary Research)
- Probabilistic Modelling (Master’s Program: Big Data)
- Methods and Models for Multivariate Data Analysis (Master’s Program: Big Data)
- Probabilistic Modelling (Master’s Program: Computational Biomedicine)
- Probabilistic Modelling (Master’s Program: Urban Supercomputing) (as a part of Discrete and Probabilistic Models)
- Stochastic and discrete mathematical models