Anna Oleynik

Position

Researcher

Affiliation

Research groups

Research

Anna Oleynik's main research interests are mathematical modelling, dynamical systems, optimization, and marine monitoring. She has a long experience in mathematical analysis of neural field models, and a more recent interest in inverse problems, optimization methods, numerical analysis and simulations.  Anna Oleynik is a part of the Academia agreement project: AMOFF, Assurance Monitoring for Offshore CO2 storage sites; a member of the ACTOM project team on developing a web-based toolkit that will collect algorithms for optimal monitoring design for offshore CCS; a collaborator of the FACTS project on predicting microplastic distribution and localizing plastic aggregation zones, based on numerical models and simulations, and of the CRIMAC project on developing machine learning methods for target classification in fisheries acoustics.

Publications
Academic lecture
Poster
Academic article
Article in business/trade/industry journal
Masters thesis
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Abstract

See a complete overview of publications in Cristin.