Conditional diffusion model for sea level prediction using SWOT satellite altimetry with uncertainty quantificationRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuIAG Scientific Assembly 2025 : Geodesy for a changing environment : Abstract Book2025 / p. 325 http://eventi.unibo.it/iag2025/final-program/iag_abstract-book.pdf/@@download/file/IAG_abstract-book.pdf

A data-fusion technique for forecasting of absolute sea levels in the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu2023 Machine Learning And Data Analysis In Oceanography, University of Liège, Belgium2023 / 1 p A data-fusion technique for forecasting of absolute sea levels in the Baltic Sea

Development of continuous dynamic vertical reference for maritime and offshore engineering by applying geodetic and machine learning strategiesEllmann, Artu; Delpeche-Ellmann, Nicole Camille; Varbla, Sander; Rajabi Kiasari, Saeed; Jahanmard, Vahidreza; Kupavõh, AlekseiEGU General Assembly 20252025 / art. EGU25-20596 https://doi.org/10.5194/egusphere-egu25-20596

Development of Machine Learning Approaches for Geoid-referred Sea Level Forecasting = Masinõppe meetodite väljatöötamine geoidi suhtes määratletava merepinna taseme prognoosimiseksRajabi Kiasari, Saeed2026 https://digikogu.taltech.ee/et/Item/96a4a7e5-a188-467e-a3f1-52a862c1fe43 https://www.ester.ee/record=b6042268*est https://doi.org/10.23658/taltech.20/2026

Forecasting of absolute dynamic topography by utilizing machinelearning with synergy of satellite altimetry dataDelpeche-Ellmann, Nicole Camille; Rajabi Kiasari, Saeed; Ellmann, Artu13th Coastal Altimetry Workshop & Coastal Altimetry Training, 6-10 February 2023, Universidad de Cádiz, Spain : abstract2023 / p. 42 https://www.coastalaltimetry.org/NikalWebsitePortal/coastal-altimetry-workshop/esa/ExtraContent/ContentSubPage?page=8&subPage=3

Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuComputers & geosciences2023 / art. 105406, 16 p. : ill https://doi.org/10.1016/j.cageo.2023.105406 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Forecasting of Sea Level Extremes using Deep Learning and Extreme Value AnalysisDelpeche-Ellmann, Nicole Camille; Rajabi Kiasari, Saeed; Soomere, Tarmo; Ellmann, ArtuEGU General Assembly 20252025 / art. EGU25-13350 https://meetingorganizer.copernicus.org/EGU25/EGU25-13350.html https://doi.org/10.5194/egusphere-egu25-13350

Forecasting sea level maxima using machine learning models in the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuInternational Liège Colloquium 2024 : Ocean Extremes2024 / 1 p https://gher-uliege.github.io/liege-colloquium-2024/abstracts/2024-01-26_12:01:45_IP_193.40.250.130.pdf

Forecasting sea level maxima using machine learning with explainability and extreme value analysisRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu; Soomere, TarmoInternational journal of applied earth observation and geoinformation2026 / art. 105064 https://doi.org/10.1016/j.jag.2025.105064

Instantaneous sea surface height prediction using satellite altimetry and deep learningRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuLiving Planet Symposium (LPS25)2025 https://lps25.esa.int/

Integrating satellite altimetry and deep learning for enhanced sea level forecastingRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuEGU General Assembly 20252025 / art. EGU25-9951 https://meetingorganizer.copernicus.org/EGU25/EGU25-9951.html https://doi.org/10.5194/egusphere-egu25-9951

Machine learning Forecasting of Absolute Dynamic Topography in the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / p. 36 https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

A multivariate-multistep-ahead forecasting of dynamic topography using convolutional encoder-decoder network in the Baltic SeaRajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuXXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)2023 / 1 p https://doi.org/10.57757/IUGG23-1664

Reconstruction of dynamic topography using cyclostationary empirical orthogonal functions in the Baltic SeaMostafavi, Majid; Rajabi Kiasari, Saeed; Jahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / p. 25 https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

Sea level forecasting using deep recurrent neural networks with high-resolution hydrodynamic modelRajabi Kiasari, Saeed; Ellmann, Artu; Delpeche-Ellmann, Nicole CamilleApplied ocean research2025 / art. 104496 https://doi.org/10.1016/j.apor.2025.104496

Validation of conventional and retracked Sentinel-3 observations along the Norwegian coastMostafavi, Majid; Jahanmard, Vahidreza; Rajabi Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / p. 27 https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf