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 lecture

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

Academic article

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

Poster

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

Article in business/trade/industry journal

• Alendal, Guttorm; Gasda, Sarah Eileen; Romanak, Katherine 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)
• Dewar, Marius; Alendal, Guttorm; Blackford, Jeremy 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)
• Gundersen, Kristian; Oleynik, Anna; Blaser, Nello et al. (2020). Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations. (external link)

Masters thesis

• Banshoya, Shin Irgens; Oleynik, Anna; Alendal, Guttorm (2020). GRADIENT METHODS FOR SOURCE IDENTIFICATION PROBLEMS. (external link)
• Moreira, Hugo Gonçalo Antunes; Oleynik, Anna; Alendal, Guttorm (2019). Dynamic Mode Decomposition and Koopman Operator (Data-Driven Modeling of Complex Dynamical Systems). (external link)

Report

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

Chapter

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

Abstract

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

See a complete overview of publications in Cristin.