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Omer San
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2020 – today
- 2024
- [j25]Sondre Sørbø
, Sindre Stenen Blakseth
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. Appl. Soft Comput. 153: 111312 (2024) - [j24]Jacob Wulff Wold
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach. Eng. Appl. Artif. Intell. 137: 109167 (2024) - [i36]Adil Rasheed, Florian Stadtmann, Eivind Fonn, Mandar V. Tabib, Vasileios Tsiolakis, Balram Panjwani, Kjetil André Johannessen, Trond Kvamsdal, Omer San, John Olav Giæver Tande, Idar Barstad, Tore Christiansen, Elling Rishoff, Lars Frøyd, Tore Rasmussen:
Digital Twin for Wind Energy: Latest updates from the NorthWind project. CoRR abs/2403.14646 (2024) - [i35]Annalisa Quaini, Omer San, Alessandro Veneziani, Traian Iliescu:
Bridging Large Eddy Simulation and Reduced Order Modeling of Convection-Dominated Flows through Spatial Filtering: Review and Perspectives. CoRR abs/2407.00231 (2024) - 2023
- [j23]Elias Mohammed Elfarri, Adil Rasheed
Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality. IEEE Access 11: 35035-35058 (2023) - [j22]Florian Stadtmann
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. IEEE Access 11: 110762-110795 (2023) - [j21]Shady E. Ahmed, Omer San
Forward sensitivity analysis and mode dependent control for closure modeling of Galerkin systems. Comput. Math. Appl. 145: 289-302 (2023) - [j20]Shady E. Ahmed
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. SIAM J. Sci. Comput. 45(3): 283-313 (2023) - [i34]Florian Stadtmann, Adil Rasheed
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. CoRR abs/2304.11405 (2023) - [i33]Shady E. Ahmed, Omer San, Sivaramakrishnan Lakshmivarahan, John M. Lewis:
On the dual advantage of placing observations through forward sensitivity analysis. CoRR abs/2305.00300 (2023) - [i32]Pu Ren, N. Benjamin Erichson, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney:
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. CoRR abs/2306.14070 (2023) - [i31]Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed, Mandar V. Tabib, Omer San, Jan-Tore Horn:
Machine Learning for enhancing Wind Field Resolution in Complex Terrain. CoRR abs/2309.10172 (2023) - [i30]Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San:
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions. CoRR abs/2309.10181 (2023) - 2022
- [j19]Sindre Stenen Blakseth, Adil Rasheed
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. Appl. Soft Comput. 128: 109533 (2022) - [j18]Sindre Stenen Blakseth
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. Neural Networks 146: 181-199 (2022) - [j17]Amalie Heiberg, Thomas Nakken Larsen
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. Neural Networks 152: 17-33 (2022) - [j16]Haakon Robinson
Physics guided neural networks for modelling of non-linear dynamics. Neural Networks 154: 333-345 (2022) - [i29]Shady E. Ahmed, Omer San, Diana Alina Bistrian, Ionel Michael Navon:
Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations. CoRR abs/2201.04084 (2022) - [i28]William Snyder, Changhong Mou, Honghu Liu, Omer San, Raffaella De Vita, Traian Iliescu:
Reduced Order Model Closures: A Brief Tutorial. CoRR abs/2202.14017 (2022) - [i27]Haakon Robinson, Suraj Pawar, Adil Rasheed
Physics guided neural networks for modelling of non-linear dynamics. CoRR abs/2205.06858 (2022) - [i26]Shady E. Ahmed, Omer San
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. CoRR abs/2205.12419 (2022) - [i25]Sindre Stenen Blakseth, Adil Rasheed
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. CoRR abs/2206.03451 (2022) - [i24]Omer San
Decentralized digital twins of complex dynamical systems. CoRR abs/2207.12245 (2022) - [i23]Omer San
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. CoRR abs/2207.12854 (2022) - [i22]Omer San
Prospects of federated machine learning in fluid dynamics. CoRR abs/2208.07017 (2022) - [i21]Changhong Mou, Elia Merzari
An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows. CoRR abs/2211.04404 (2022) - [i20]Elias Mohammed Elfarri, Adil Rasheed
Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality. CoRR abs/2212.07102 (2022) - 2021
- [j15]Tiril Sundby, Julia Maria Graham, Adil Rasheed
Geometric Change Detection in Digital Twins. Digit. 1(2): 111-129 (2021) - [j14]Herman Stavelin, Adil Rasheed
Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis. Ecol. Informatics 62: 101269 (2021) - [j13]Omer San
The digital twin revolution. Nat. Comput. Sci. 1(5): 307-308 (2021) - [i19]Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San:
Geometric Change Detection in Digital Twins using 3D Machine Learning. CoRR abs/2103.08201 (2021) - [i18]Omer San, Adil Rasheed, Trond Kvamsdal:
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. CoRR abs/2103.14629 (2021) - [i17]Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San:
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. CoRR abs/2105.11521 (2021) - [i16]Changhong Mou, Elia Merzari, Omer San, Traian Iliescu:
A Numerical Investigation of the Lengthscale in the Mixing-Length Reduced Order Model of the Turbulent Channel Flow. CoRR abs/2108.02254 (2021) - [i15]Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu:
Nonlinear proper orthogonal decomposition for convection-dominated flows. CoRR abs/2110.08295 (2021) - [i14]Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo:
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. CoRR abs/2112.00115 (2021) - 2020
- [j12]Adil Rasheed
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. IEEE Access 8: 21980-22012 (2020) - [j11]Eivind Meyer, Haakon Robinson, Adil Rasheed
Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning. IEEE Access 8: 41466-41481 (2020) - [j10]Eivind Meyer, Amalie Heiberg, Adil Rasheed
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning. IEEE Access 8: 165344-165364 (2020) - [j9]Simen Theie Havenstrøm, Adil Rasheed
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. Frontiers Robotics AI 7: 566037 (2020) - [j8]Romit Maulik, Omer San
Numerical assessments of a parametric implicit large eddy simulation model. J. Comput. Appl. Math. 376: 112866 (2020) - [i13]Simen Theie Havenstrøm, Camilla Sterud, Adil Rasheed, Omer San:
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. CoRR abs/2002.01022 (2020) - [i12]Changhong Mou, Birgul Koc, Omer San, Traian Iliescu:
Data-Driven Variational Multiscale Reduced Order Models. CoRR abs/2002.06457 (2020) - [i11]Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes:
Marine life through You Only Look Once's perspective. CoRR abs/2003.00836 (2020) - [i10]Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San:
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning. CoRR abs/2006.09540 (2020) - [i9]Simen Theie Havenstrøm, Adil Rasheed, Omer San:
Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles. CoRR abs/2006.09792 (2020) - [i8]Shady E. Ahmed, Omer San, Kursat Kara, Rami M. Younis, Adil Rasheed:
Interface learning of multiphysics and multiscale systems. CoRR abs/2006.10112 (2020) - [i7]Shady E. Ahmed, Suraj Pawar, Omer San, Adil Rasheed, Mandar V. Tabib:
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. CoRR abs/2008.03157 (2020) - [i6]Andrine Elsetrønning, Adil Rasheed, Jon Bekker, Omer San:
On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification. CoRR abs/2012.11759 (2020) - [i5]Suraj Pawar, Omer San, Burak Aksoylu, Adil Rasheed, Trond Kvamsdal:
Physics guided machine learning using simplified theories. CoRR abs/2012.13343 (2020)
2010 – 2019
- 2019
- [j7]Omer San
An artificial neural network framework for reduced order modeling of transient flows. Commun. Nonlinear Sci. Numer. Simul. 77: 271-287 (2019) - [i4]Sk. Mashfiqur Rahman, Suraj Pawar
A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. CoRR abs/1906.11617 (2019) - [i3]Haakon Robinson, Adil Rasheed, Omer San:
Dissecting Deep Neural Networks. CoRR abs/1910.03879 (2019) - [i2]Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San:
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. CoRR abs/1912.08578 (2019) - 2018
- [j6]Omer San
Neural network closures for nonlinear model order reduction. Adv. Comput. Math. 44(6): 1717-1750 (2018) - [j5]Romit Maulik
Explicit and implicit LES closures for Burgers turbulence. J. Comput. Appl. Math. 327: 12-40 (2018) - [j4]Omer San
Generalized Deconvolution Procedure for Structural Modeling of Turbulence. J. Sci. Comput. 75(2): 1187-1206 (2018) - [c1]Weiwei Hu, Omer San
Optimal Control of Heat Transfer in Unsteady Stokes Flows. CDC 2018: 3752-3757 - 2017
- [j3]Romit Maulik
A novel dynamic framework for subgrid scale parametrization of mesoscale eddies in quasigeostrophic turbulent flows. Comput. Math. Appl. 74(3): 420-445 (2017) - [i1]Omer San, Prakash Vedula:
Generalized deconvolution procedure for structural modeling of turbulence. CoRR abs/1707.09177 (2017) - 2015
- [j2]Omer San
A stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation. Adv. Comput. Math. 41(5): 1289-1319 (2015) - 2013
- [j1]Omer San
A coarse-grid projection method for accelerating incompressible flow computations. J. Comput. Phys. 233: 480-508 (2013)
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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