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 has been working with offshore monitoring for CCS, as a part of the Academia agreement project AMOFF (Assurance Monitoring for Offshore CO2 storage sites) and the ACTOM  (ACT on Off-shore Monitoring) project.  She is a member of NAMC (North Atlantic Microplastic Centre) modelling team working on predicting microplastic distribution and localizing plastic aggregation zones, based on numerical models and simulations. She also collaborates with SFI CRIMAC on developing machine learning methods for target classification in fisheries acoustic, and takes part in MATH4SDG (Mathematics for Sustainable Development) project.

Conference lecture

• John Andreas Wyller; Karina Kolodina; Anna Oleynik et al. (2018). LOCALIZED STATIONARY SOLUTIONS AND PATTERN FORMATION IN A HOMOGENIZED NEURAL FIELD MODEL. (external link)
• Guttorm Alendal; Helge Avlesen; Maribel I Garcia-Ibanez et al. (2018). Combining Environmental Statistics and Marine Process Modelling to Design Monitoring Programs for Offshore CO2 Storage. (external link)
• John Wyller; Anna Oleynik; Igor Wertgeim (2010). Weakly nonlocal limit of a one population neuronal field model. (external link)
• Anna Oleynik; Prithvinath Madduri; James R. Clark et al. (2023). Modelling plastic transport in Norwegian coastal waters. (external link)
• Kristian Gundersen; Anna Oleynik; Nello Blaser et al. (2019). Bayesian convolutional neural networks as a tool to detect discharges of pollutants to marine waters through time series classification. (external link)
• Guttorm Alendal; Anna Oleynik; Nello Blaser et al. (2018). The need for proper environmental statistics to design adequate monitoring for offshore geological storage of CO2 projects.. (external link)
• Guttorm Alendal; Prithvinath Madduri; Anna Oleynik et al. (2024). Lagrangian modelling of plastic transport in marine waters. (external link)
• Ahmet Pala; Anna Oleynik; Ketil Malde et al. (2024). Unraveling Acoustic Signal Patterns in Fisheries Through DINO-Based Self-Supervised Learning. (external link)
• Jerry Blackford; Guttorm Alendal; Yuri Artioli et al. (2018). Ensuring efficient and robust offshore storage – the role of marine system modelling. (external link)
• Karina Kolodina; Anna Oleynik (2017). Research visit. (external link)
• Sarah Eileen Gasda; Anna Oleynik; Svenn Tveit et al. (2023). ACTOM Decision Support Tool for offshore environmental monitoring: Smeaheia region case study, Norwegian North Sea. (external link)
• Prithvinath Madduri; Guttorm Alendal; Anna Oleynik et al. (2023). Modelling the fate of sinking microplastics in Byfjorden. (external link)
• Kristian Gundersen; Anna Oleynik; Guttorm Alendal et al. (2018). Combining Models and Machine Learning Techniques to Design Leak Detection Monitoring. (external link)
• Guttorm Alendal; Anna Oleynik; Dorothy Jane Dankel et al. (2020). Monitoring offshore CO2 storage projects, aligning capabilities with regulations and public expectations.. (external link)
• Kristian Gundersen; Anna Oleynik; Hans J. Skaug et al. (2018). Machine Learning in CO2 leak detection. (external link)
• Guttorm Alendal; Sigrid Eskeland Schütz; Anna Oleynik et al. (2022). ACT on Marine Monitoring, project presentation. (external link)
• Guttorm Alendal; Anna Oleynik; Prithvinath Madduri et al. (2023). Challenges when simulating transport of particles in oceanic waters. (external link)
• Prithvinath Madduri; Guttorm Alendal; Anna Oleynik et al. (2022). Modelling the fate of sinking microplastics in an urban fjord in western Norway. (external link)
• Prithvinath Madduri; Guttorm Alendal; Anna Oleynik et al. (2023). Modelling the transport of microplastics within the fjord systems near Bergen. (external link)
• John Andreas Wyller; Karina Kolodina; Mads Peter Sørensen et al. (2018). PATTERN FORMATION IN A HOMOGENIZED NEURAL FIELD MODEL. (external link)
• Guttorm Alendal; Anna Oleynik (2019). Combining models and measurements for identifying aggregation zones in marine waters. (external link)
• John Wyller; Anna Oleynik; Igor Wertgeim (2010). The Weakly Nonlocal Limit of a One-Population Wilson-Cowan Model. (external link)
• Prithvinath Madduri; James R. Clark; Guttorm Alendal et al. (2023). Modelling the transport pathways of plastic in and away from Norwegian coastal waters. (external link)
• Karina Kolodina; Anna Oleynik; John Andreas Wyller (2017). Localized stationary solutions of a 2-population homogenized neural Field model. (external link)
• Ahmet Pala; Anna Oleynik; Ketil Malde et al. (2024). Annotation-Free Feature Learning for Improved Acoustic Target Classification. (external link)
• Karina Kolodina; Anna Oleynik; John Andreas Wyller (2017). Localized stationary solutions of a 2-population homogenized neural field model. (external link)
• Abdirahman Omar; Maribel Garcia-Ibanez; Anna Oleynik (2019). Utility of the Cseep method in the vicinity of Goldeneye.. (external link)

Academic article

• Anna Oleynik; Arkadi Ponossov; John Andreas Wyller (2013). On the properties of nonlinear nonlocal operators arising in neural field models. (external link)
• Kristian Gundersen; Guttorm Alendal; Anna Oleynik et al. (2020). Binary time series classification with Bayesian convolutional neural networks when monitoring for marine gas discharges. (external link)
• Anna Oleynik; John Andreas Wyller; Tom Tetzlaff et al. (2011). Stability of bumps in a two-population neural-field model with quasi-power temporal kernels. (external link)
• Mårten Gulliksson; Anna Oleynik (2017). Greedy Gauss-Newton algorithms for finding sparse solutions to nonlinear underdetermined systems of equations. (external link)
• Jerry Blackford; Katherine Romanak; Veerle A.I. Huvenne et al. (2021). Efficient marine environmental characterisation to support monitoring of geological CO2 storage. (external link)
• Prithvinath Madduri; Anna Oleynik; James R. Clark et al. (2025). Modelling transboundary plastic pathways to Norwegian coastal and inland waters. (external link)
• Kristian Gundersen; Anna Oleynik; Nello Blaser et al. (2021). Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations. (external link)
• Ahmet Pala; Anna Oleynik; Ketil Malde et al. (2024). Self-supervised feature learning for acoustic data analysis. (external link)
• Karina Kolodina; Anna Oleynik; John Andreas Wyller (2018). Localized stationary solutions of a 2-population homogenized neural field model. (external link)
• Abdirahman Omar; Maribel I. García-Ibáñez; Allison Schaap et al. (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. (external link)
• Anna Oleynik; John Wyller; Igor Wertgeim (2010). The weakly nonlocal limit of a one-population Wilson-Cowan model. (external link)
• D.P. Connelly; J.M. Bull; A. Flohr et al. (2022). Assuring the integrity of offshore carbon dioxide storage. (external link)
• Anna Oleynik; Arcady Ponosov; John Andreas Wyller (2015). Iterative Schemes for Bump Solutions in a Neural Field Model. (external link)
• Parisa Torabi; Anna Oleynik; Ahmad Hemmati et al. (2023). Covering tour problem with varying coverage: Application to marine environmental monitoring. (external link)
• Mårten Gulliksson; Anna Oleynik; Stepan Mazur (2023). Portfolio Selection with a Rank-Deficient Covariance Matrix. (external link)
• Anita Flohr; Allison Schaap; Eric P. Achterberg et al. (2021). Towards improved monitoring of offshore carbon storage: A real-world field experiment detecting a controlled sub-seafloor CO2 release. (external link)
• Karina Kolodina; Vadim Kostrykin; Anna Oleynik (2021). Existence and stability of periodic solutions in a neural field equation. (external link)
• Anna Oleynik; Maribel I. García-Ibáñez; Nello Blaser et al. (2020). Optimal sensors placement for detecting CO2 discharges from unknown locations on the seafloor. (external link)
• Ahmet Pala; Anna Oleynik; Ingrid Utseth et al. (2023). Addressing class imbalance in deep learning for acoustic target classification. (external link)
• Evgenii Burlakov; Anna Oleynik; Arkadi Ponossov (2025). Travelling Waves in Neural Fields with Continuous and Discontinuous Neuronal Activation. (external link)
• Karina Kolodina; Anna Oleynik; John Andreas Wyller (2018). Single bumps in a 2-population homogenized neuronal network model. (external link)
• Ahmet Pala; Anna Oleynik; Nils Olav Handegard (2025). Feature-based cluster selection framework for binary classification on imbalanced acoustic data. (external link)
• Anna Oleynik; Arkadi Ponossov; John Andreas Wyller (2013). Iterative schemes for bump solution in a neural field model. (external link)
• Karina Kolodina; John Andreas Wyller; Anna Oleynik et al. (2021). Pattern formation in a 2-population homogenized neuronal network model. (external link)
• Arkadi Ponossov; Anna Oleynik; Vadim Kostrykin et al. (2016). Spatially localized solutions of the Hammerstein equation with sigmoid type of nonlinearity. (external link)
• Mårten Gulliksson; Stepan Mazur; Anna Oleynik (2025). Minimum VaR and minimum CVaR optimal portfolios: The case of singular covariance matrix. (external link)
• Parisa Torabi; Ahmad Hemmati; Anna Oleynik et al. (2025). A deep reinforcement learning hyperheuristic for the covering tour problem with varying coverage. (external link)

Conference poster

• Kristian Gundersen; Anna Oleynik; Guttorm Alendal et al. (2018). Model Reduction for Tracer Transport and Applications. (external link)
• Ahmet Pala; Anna Oleynik; Nils Olav Handegard et al. (2023). Similarity-Based Data Selection to Improve Automatic Acoustic Target Classification. (external link)
• Anna Oleynik; Kristian Gundersen; Guttorm Alendal et al. (2018). Mathematical methods for detection and localization of CO2 leaks. (external link)
• Ahmet Pala; Anna Oleynik; Nils Olav Handegard et al. (2023). Deep Learning for Acoustic Target Classification: Addressing Class-Imbalance with a Similarity-Based Sampling Approach. (external link)
• Ahmet Pala; Anna Oleynik; Nils Olav Handegard et al. (2023). Mitigating Class-Imbalance in Acoustic Target Classification for Fisheries via Similarity-Based Data Selection. (external link)
• Prithvinath Madduri; Guttorm Alendal; Anna Oleynik et al. (2022). Modelling the fate of sinking microplastics in an urban fjord in western Norway. (external link)
• Kristian Gundersen; Anna Oleynik; Nello Blaser et al. (2020). Reconstruction of Currents Based on Sparse Observations with Deep Learning. (external link)
• Jerry Blackford; Guttorm Alendal; Yuri Artioli et al. (2019). Ensuring efficient and robust carbon storage: marine modelling for environmental monitoring.. (external link)
• Guttorm Alendal; Dorothy Jane Dankel; Bjarte Fagerås et al. (2023). Assurance offshore CO2 monitoring, a cross-disciplinary approach.. (external link)
• Karina Kolodina; Vadim Kostrykin; Anna Oleynik (2018). Stationary periodic solutions in the Amari model. (external link)

Master’s thesis

• Shin Irgens Banshoya; Anna Oleynik; Guttorm Alendal (2020). Gradient Methods for Source Identification Problems. (external link)
• Hugo Gonçalo Antunes Moreira; Anna Oleynik; Guttorm Alendal (2019). Dynamic Mode Decomposition and Koopman Operator (Data-Driven Modeling of Complex Dynamical Systems). (external link)

Professional article

• Guttorm Alendal; Sarah Eileen Gasda; Katherine Romanak et al. (2022). The Impact of Pre-Project Data Quality and Quantity on Developing Environmental Monitoring Strategies for Offshore Carbon Storage: Case Studies from the Gulf of Mexico and the North Sea.. (external link)
• Kristian Gundersen; Anna Oleynik; Nello Blaser et al. (2020). Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations. (external link)
• Marius Dewar; Guttorm Alendal; Jeremy Blackford et al. (2022). Demonstration of a Semi-Automated Decision Support Toolbox to Aid Operators in the Design of Efficient Environmental Offshore Monitoring Programs for Co2 Storage Sites. (external link)

Conference abstract

• Anna Oleynik; John Wyller; Igor Wertgeim (2009). The weakly nonlocal limit of a one-population Wilson - Cowan model. (external link)

Non-fiction book chapter

• Anna Oleynik; John Wyller (2010). Stability of Bumps in a Two Population Neural Field Model. (external link)

Research report

• Abdirahman Omar; Maribel Garcia-Ibanez; Anna Oleynik et al. (2019). Underpinning data for monitoring activities (including current statistics and carbon tracer quantifications). (external link)

See a complete overview of publications in Cristin.