Anna Oleyniks forskningsområder er matematisk modellering, dynamiske systemer, optimalisering og overvåking av havmiljøet. Hun har lang erfaring med matematisk analyse av nevralfeltmodeller, og har i senere tid arbeidet med inverse problemer, optimaliseringsmetoder, numerisk analyse og simulering.

Hun har vært involvert i overvåking av offshore CO₂-lagring gjennom Academia-avtaleprosjektet AMOFF (Assurance Monitoring for Offshore CO₂ Storage Sites) og ACTOM-prosjektet (ACT on Offshore Monitoring). Anna er medlem av modelleringsteamet i NAMC (North Atlantic Microplastic Centre), hvor arbeidet handler om å forutsi mikroplastens utbredelse og identifisere områder med opphopning av plast, basert på numeriske modeller og simuleringer. Hun samarbeider også med SFI CRIMAC om å utvikle maskinlæringsmetoder for klassifisering av objekter i fiskeriakustikk, og deltar i prosjektet MATH4SDG (Mathematics for Sustainable Development).

Vitenskapelig artikkel

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

Vitenskapelig foredrag

• Alendal, Guttorm; Madduri, Prithvinath; Oleynik, Anna et al. (2024). Lagrangian modelling of plastic transport in marine waters. (ekstern lenke)
• Pala, Ahmet; Oleynik, Anna; Malde, Ketil et al. (2024). Unraveling Acoustic Signal Patterns in Fisheries Through DINO-Based Self-Supervised Learning. (ekstern lenke)
• Pala, Ahmet; Oleynik, Anna; Malde, Ketil et al. (2024). Annotation-Free Feature Learning for Improved Acoustic Target Classification. (ekstern lenke)
• Oleynik, Anna; Madduri, Prithvinath; Clark, James R. et al. (2023). Modelling plastic transport in Norwegian coastal waters. (ekstern lenke)
• Madduri, Prithvinath; Clark, James R.; Alendal, Guttorm et al. (2023). Modelling the transport pathways of plastic in and away from Norwegian coastal waters. (ekstern lenke)
• Madduri, Prithvinath; Alendal, Guttorm; Oleynik, Anna et al. (2023). Modelling the fate of sinking microplastics in Byfjorden. (ekstern lenke)
• Alendal, Guttorm; Oleynik, Anna; Madduri, Prithvinath et al. (2023). Challenges when simulating transport of particles in oceanic waters. (ekstern lenke)
• Madduri, Prithvinath; Alendal, Guttorm; Oleynik, Anna et al. (2023). Modelling the transport of microplastics within the fjord systems near Bergen. (ekstern lenke)
• 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. (ekstern lenke)
• Alendal, Guttorm; Schütz, Sigrid Eskeland; Oleynik, Anna et al. (2022). ACT on Marine Monitoring, project presentation. (ekstern lenke)
• Madduri, Prithvinath; Alendal, Guttorm; Oleynik, Anna et al. (2022). Modelling the fate of sinking microplastics in an urban fjord in western Norway. (ekstern lenke)
• Alendal, Guttorm; Oleynik, Anna; Dankel, Dorothy Jane et al. (2020). Monitoring offshore CO2 storage projects, aligning capabilities with regulations and public expectations.. (ekstern lenke)
• 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. (ekstern lenke)
• Alendal, Guttorm; Oleynik, Anna (2019). Combining models and measurements for identifying aggregation zones in marine waters. (ekstern lenke)
• Omar, Abdirahman; Garcia-Ibanez, Maribel; Oleynik, Anna (2019). Utility of the Cseep method in the vicinity of Goldeneye.. (ekstern lenke)
• Wyller, John Andreas; Kolodina, Karina; Oleynik, Anna et al. (2018). LOCALIZED STATIONARY SOLUTIONS AND PATTERN FORMATION IN A HOMOGENIZED NEURAL FIELD MODEL. (ekstern lenke)
• Gundersen, Kristian; Oleynik, Anna; Alendal, Guttorm et al. (2018). Combining Models and Machine Learning Techniques to Design Leak Detection Monitoring. (ekstern lenke)
• 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. (ekstern lenke)
• 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.. (ekstern lenke)
• Wyller, John Andreas; Kolodina, Karina; Sørensen, Mads Peter et al. (2018). PATTERN FORMATION IN A HOMOGENIZED NEURAL FIELD MODEL. (ekstern lenke)
• Blackford, Jerry; Alendal, Guttorm; Artioli, Yuri et al. (2018). Ensuring efficient and robust offshore storage – the role of marine system modelling. (ekstern lenke)
• Gundersen, Kristian; Oleynik, Anna; Skaug, Hans J. et al. (2018). Machine Learning in CO2 leak detection. (ekstern lenke)
• Kolodina, Karina; Oleynik, Anna; Wyller, John Andreas (2017). Localized stationary solutions of a 2-population homogenized neural Field model. (ekstern lenke)
• Kolodina, Karina; Oleynik, Anna (2017). Research visit. (ekstern lenke)
• Kolodina, Karina; Oleynik, Anna; Wyller, John Andreas (2017). Localized stationary solutions of a 2-population homogenized neural field model. (ekstern lenke)
• Wyller, John; Oleynik, Anna; Wertgeim, Igor (2010). The Weakly Nonlocal Limit of a One-Population Wilson-Cowan Model. (ekstern lenke)
• Wyller, John; Oleynik, Anna; Wertgeim, Igor (2010). Weakly nonlocal limit of a one population neuronal field model. (ekstern lenke)

Poster

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

Fagartikkel

• 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.. (ekstern lenke)
• 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. (ekstern lenke)
• Gundersen, Kristian; Oleynik, Anna; Blaser, Nello et al. (2020). Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations. (ekstern lenke)

Mastergradsoppgave

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

Rapport

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

Faglig kapittel

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

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