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Anna Oleynik

Researcher
  • E-mailanna.oleynik@uib.no
  • Visitor Address
    Allégaten 41
    Realfagbygget
    5007 Bergen
    Room 
    4B13f
  • Postal Address
    Postboks 7803
    5020 Bergen

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.

Academic article
  • Show author(s) (2022). Assuring the integrity of offshore carbon dioxide storage. Renewable & Sustainable Energy Reviews.
  • Show author(s) (2021). Towards improved monitoring of offshore carbon storage: A real-world field experiment detecting a controlled sub-seafloor CO2 release. International Journal of Greenhouse Gas Control.
  • Show author(s) (2021). Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations. Physics of Fluids. 23 pages.
  • Show author(s) (2021). Pattern formation in a 2-population homogenized neuronal network model . The Journal of Mathematical Neuroscience. 38 pages.
  • Show author(s) (2021). Efficient marine environmental characterisation to support monitoring of geological CO2 storage. International Journal of Greenhouse Gas Control. 16 pages.
  • Show author(s) (2021). Detection and quantification of CO2 seepage in seawater using the stoichiometric Cseep method: Results from a recent subsea CO2 release experiment in the North Sea. International Journal of Greenhouse Gas Control.
  • Show author(s) (2020). Optimal sensors placement for detecting CO2 discharges from unknown locations on the seafloor. International Journal of Greenhouse Gas Control.
  • Show author(s) (2020). Binary time series classification with Bayesian convolutional neural networks when monitoring for marine gas discharges . Algorithms. 24 pages.
  • Show author(s) (2018). Single bumps in a 2-population homogenized neuronal network model. Physica D : Non-linear phenomena. 40-53.
  • Show author(s) (2018). Localized stationary solutions of a 2-population homogenized neural field model. AIP Conference Proceedings.
  • Show author(s) (2017). Greedy Gauss-Newton algorithms for finding sparse solutions to nonlinear underdetermined systems of equations. Optimization. 1201-1217.
  • Show author(s) (2016). Spatially localized solutions of the Hammerstein equation with sigmoid type of nonlinearity. Journal of Differential Equations. 5844-5874.
  • Show author(s) (2013). On the properties of nonlinear nonlocal operators arising in neural field models. Journal of Mathematical Analysis and Applications. 335-351.
  • Show author(s) (2013). Iterative schemes for bump solution in a neural field model. Differential Equations and Dynamical Systems.
  • Show author(s) (2011). Stability of bumps in a two-population neural-field model with quasi-power temporal kernels. Nonlinear Analysis: Real world applications. 3073-3094.
  • Show author(s) (2010). The weakly nonlocal limit of a one-population Wilson-Cowan model. Physica D : Non-linear phenomena. 1766-1780.
Report
  • Show author(s) (2019). Underpinning data for monitoring activities (including current statistics and carbon tracer quantifications). .
Academic lecture
  • Show author(s) (2022). ACT on Marine Monitoring, project presentation.
  • Show author(s) (2020). Monitoring offshore CO2 storage projects, aligning capabilities with regulations and public expectations. .
  • Show author(s) (2019). Utility of the Cseep method in the vicinity of Goldeneye. .
  • Show author(s) (2019). Combining models and measurements for identifying aggregation zones in marine waters.
  • Show author(s) (2019). Bayesian convolutional neural networks as a tool to detect discharges of pollutants to marine waters through time series classification.
  • Show author(s) (2018). The need for proper environmental statistics to design adequate monitoring for offshore geological storage of CO2 projects.
  • Show author(s) (2018). PATTERN FORMATION IN A HOMOGENIZED NEURAL FIELD MODEL.
  • Show author(s) (2018). Machine Learning in CO2 leak detection.
  • Show author(s) (2018). LOCALIZED STATIONARY SOLUTIONS AND PATTERN FORMATION IN A HOMOGENIZED NEURAL FIELD MODEL.
  • Show author(s) (2018). Ensuring efficient and robust offshore storage – the role of marine system modelling.
  • Show author(s) (2018). Combining Models and Machine Learning Techniques to Design Leak Detection Monitoring .
  • Show author(s) (2018). Combining Environmental Statistics and Marine Process Modelling to Design Monitoring Programs for Offshore CO2 Storage.
  • Show author(s) (2017). Research visit.
  • Show author(s) (2017). Localized stationary solutions of a 2-population homogenized neural field model.
  • Show author(s) (2017). Localized stationary solutions of a 2-population homogenized neural Field model.
  • Show author(s) (2010). Weakly nonlocal limit of a one population neuronal field model.
  • Show author(s) (2010). The Weakly Nonlocal Limit of a One-Population Wilson-Cowan Model.
Masters thesis
  • Show author(s) (2020). GRADIENT METHODS FOR SOURCE IDENTIFICATION PROBLEMS.
  • Show author(s) (2019). Dynamic Mode Decomposition and Koopman Operator (Data-Driven Modeling of Complex Dynamical Systems).
Other
  • Show author(s) (2010). Stability of Bumps in a Two Population Neural Field Model. 407-410.
Abstract
  • Show author(s) (2009). The weakly nonlocal limit of a one-population Wilson - Cowan model. AIP Conference Proceedings. 3.
Poster
  • Show author(s) (2020). Reconstruction of Currents Based on Sparse Observations with Deep Learning.
  • Show author(s) (2019). Ensuring efficient and robust carbon storage: marine modelling for environmental monitoring.
  • Show author(s) (2018). Stationary periodic solutions in the Amari model.
  • Show author(s) (2018). Model Reduction for Tracer Transport and Applications.
  • Show author(s) (2018). Mathematical methods for detection and localization of CO2 leaks.
Article in business/trade/industry journal
  • Show author(s) (2020). Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations. arXiv.

More information in national current research information system (CRIStin)