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Eirik Valseth

Eirik Valseth

  • Institutt for maskinteknikk og teknologiledelse

Currently, I am a Professor of Scientific Computing at the Norwegian University of Life Science (NMBU) Department of Data Science as well as a research associate at the Oden Institute at the University of Texas at Austin, and an affiliated researcher at Simula Research Laboratory Department of Numerical Analysis and Scientific Computing. Prior to joining NMBU and Simula, I was also a postdoc funded by an individual Marie Skłodowska-Curie Actions project working with Kent-Andre Mardal. I attended the South Dakota School of Mines and Technology where I earned my Ph.D. in mechanical engineering supervised by Albert Romkes.

My work is in the development of finite element methods for PDEs where classical finite element methods typically fail to produce acceptable approximations. Currently, my focus is within the context of flood modeling (e.g., hurricane storm surge and riverine flooding) as well as modeling for hydropower applications.

  • Fagfelt

    • Scientific Computing
    • Numerical Analysis
    • Applied Mathematics
    • Finite Element Methods
    • Computational Mechanics
    • Computational Mathematics

  • Publikasjoner

    Forskerprofil med publikasjoner i vitenarkivet

    Cai, S., Dutta, S., Loveland, M., Valseth, E., Rivera-Casillas, P., Trahan, C., Dawson, C., (2026) Operator Learning for Surrogate Modeling of Wave-Induced Forces from Sea Surface Waves. Ocean Engineering [doi]

    Liu, S-Z., Büttner, M., Scarborough, M., Valseth, E., Aizinger, V., Kainz, B., Rupp, A., (2026) Downscaling Neural Network for Coastal Simulations. Environmental Modelling & Software [doi]

    Zhao, J., Cerrone, A., Valseth, E., Westerink, L., Dawson, C., (2026) Storm Surge in Color: RGB-Encoded Physics-Aware Deep Learning for Storm Surge Forecasting. Computational Geosciences [doi]

    Wichitrnithed, C., Valseth, E., Dawson, C., (2026) GPU-acceleration of the Discontinuous Galerkin Shallow Water Equations Solver (DG-SWEM) using CUDA and OpenACC. Journal of Waterway, Port, Coastal, and Ocean Engineering [doi]

    Cerrone, A.R., Wood, D., Pachev, B., Contreras-Vargas, M.T., Tejaswi, A., Wiraset, D., Blakely, C.P., Ling, G., Tolman, H.L., Luettich, R.A., Bunya, S., Cobell, Z., Valseth, E., Dawson, C., Cox, A.T., Daneshvar, F., Seroka, G.N, Moghimi, S., Myers, E.P., Westering, J.L., (2026) Deterministic and Probabilistic Analyses of Hurricane Ian (2022) with STOFS-2D-Global. Weather and Forecasting [doi]

    Maczuga, P., Łoś, M., Serra, A.O., Valseth, E., Paszyńska, A., Paszyński M, (2026) Shape grammar for modeling Earth’s bathymetry and performing tsunami simulations. Journal of Computational Science [doi]

    Sikora, M., Serra, A.O., Siwik, L., Leszczyńska, N., Ciesielski, T.M., Valseth, E., Leszczyński, J., Paszyńska, A., Paszyński, M, (2025) Graph grammars and Physics Informed Neural Networks for simulating of pollution propagation on Spitzbergen. Applied Soft Computing [doi]

    Dawson, C., Loveland, M., Pachev, B., Proft, J., Valseth, E. (2024) A Software Toolbox for Modeling Coastal Ocean Circulation, Storm Surges, Inland, and Compound Flooding. Nature Natural Hazards [doi]

    Łoś, M., Służalec, T., Paszyński, M., Valseth, E. (2025) Stabilization of isogeometric finite element method with optimal test functions computed from L2 norm residual minimization. Journal of Computational and Applied Mathematics [doi]

    Maczuga, P., Łoś, M., Valseth, E., Serra, A.O., Siwik, L., Celaya, E.A., Paszyńska, A., Paszyński M., (2024) Simulating the aftermath of Northern European Enclosure Dam (NEED) break and flooding of European coast. Engineering with Computers [doi]

    Wang, K., Chen, J., Valseth, E., Wells, G., Bettadpur, S., Jones, C.E., Dawson, C. (2024) Subtle Land Subsidence Elevates Future Storm Surge Risks Along the Gulf Coast of the United States. Journal of Geophysical Research: Earth Surface [doi]

    Kazhyken, K., Valseth, E., Videman, J., Dawson, C. (2024) Application of a dispersive wave hydro-sediment-morphodynamic model in the Ria Formosa lagoon. Computational Geosciences [doi]

    Loveland, M., Valseth, E., Meixner, J., Dawson, C. (2024) Efficacy of reduced order source terms for a coupled wave-circulation model in the Gulf of Mexico. Ocean Modelling [doi]

    Valseth, E., Behnoudfar, P., Dawson, C., Romkes, A. (2024) Automatic Variationally Stable Analysis for Finite Element Computations: Transient Convection-Diffusion Problems. Computers and Mathematics with Applications [doi]

    Wichitrnithed, C., Valseth, E., Kubatko, E., Kang, Y., Hudson, M., Dawson, C. (2024) A Discontinuous Galerkin Finite Element Model for Compound Flood Simulations. Computer Methods in Applied Mechanics and Engineering [doi]

    Loveland, M., Meixner, J., Valseth, E., Dawson, C. (2023) WAVEx: Stabilized Finite Elements for Spectral Wind Wave Models Using FEniCSx. Coastal Engineering [doi]

    Pachev, B., Arora, P., del-Castillo-Negrete, C., Valseth, E., Dawson, C. (2023) A framework for flexible peak storm surge prediction. Coastal Engineering [doi]

    Valseth, E., Buskey, E., Dawson, C. (2023) A Study of the Potential Effects of Deepening the Corpus Christi Ship Channel on Hurricane Storm Surge Journal of Computational Science [doi]

    Chen, C., Dawson, C., Valseth, E. (2023) Cross-mode Stabilized Stochastic Shallow Water Systems Using Stochastic Finite Element Methods. Computer Methods in Applied Mechanics and Engineering [doi]

    Maczuga, P., Oliver-Serra, A., Paszynska, A., Valseth, E., Paszynski, M. (2022) Graph-Grammar Based Algorithm for Asteroid Tsunami Simulations. Journal of Computational Science (2022) [doi]

    Loveland, M. Valseth, E., Lukac, M, Dawson, C. (2022) Extending FEniCS to Work in Higher Dimensions Using Tensor Product Finite Elements. Journal of Computational Science [doi]

    Valseth, E., Dawson, C., (2021) A Stable Space-Time FE Method for the Shallow Water Equations Computational Geosciences [doi]

    Valseth, E., Loveland, M., Dawson, C., Buskey, E., (2021) A Study of the Potential Impact of Dredging the Corpus Christi Ship Channel on Passive Particle Transport. Journal of Marine Science and Engineering [doi]

    Valseth, E., Romkes, A., Kaul, A., Dawson, C., (2021) A Stable Mixed FE Method for Nearly Incompressible Linear Elastostatics International Journal for Numerical Methods in Engineering [doi]

    Valseth, E., Romkes, A., Kaul, A.R. (2020) A Stable FE Method For the Space-Time Solution of the Cahn-Hilliard Equation Journal of Computational Physics [doi]

    Valseth, E., Romkes, A. (2020) Goal-Oriented Error Estimation for the Automatic Variationally Stable FE Method for Convection-Dominated Diffusion Problems. Computers and Mathematics with Applications [doi]

    Calo, V.M., Romkes, A., Valseth, E. (2020) Variationally Stable Analysis for Finite Element Computations: An Introduction. Lecture Notes in Computational Science and Engineering: Barrenechea G., Mackenzie J. (eds) Boundary and Interior Layers, Computational and Asymptotic Methods BAIL 2018, Springer [doi]

    Valseth, E., Dawson, C. (2020) An Unconditionally Stable Space-Time FE Method for the Korteweg-de Vries Equation. Computer Methods in Applied Mechanics and Engineering 371:113297, [doi]

  • Forskning og prosjekter

    Forskningsprosjekter med nettside utenfor NMBU