Omer San

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 62

Top Topics

Autonomous Underwater Vehicles

Top Venues

Neural Networks

Adv. Comput. Math.

Publications

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 (2024)
Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. Appl. Soft Comput. 153 (2024)
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 (2024)
Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed, Mandar V. Tabib, Omer San, Jan-Tore Horn
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach. Eng. Appl. Artif. Intell. 137 (2024)
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 (2023)
Florian Stadtman, Adil Rasheed, Trond Kvamsdal, Kjetil André Johannessen, Omer San, Konstanze Kölle, John Olav Giæver Tande, Idar Barstad, Alexis Benhamou, Thomas Brathaug, Tore Christiansen, Anouk-Letizia Firle, Alexander Fjeldly, Lars Frøyd, Alexander Gleim, Alexander Høiberget, Catherine Meissner, Guttorm Nygård, Jørgen Olsen, Håvard Paulshus, Tore Rasmussen, Elling Rishoff, John Olav Skogås
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. CoRR (2023)
Shady E. Ahmed, Omer San, Sivaramakrishnan Lakshmivarahan, John M. Lewis
On the dual advantage of placing observations through forward sensitivity analysis. CoRR (2023)
Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, Alessandro Veneziani
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. SIAM J. Sci. Comput. 45 (3) (2023)
Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions. CoRR (2023)
Florian Stadtmann, Adil Rasheed, Trond Kvamsdal, Kjetil André Johannessen, Omer San, Konstanze Kölle, John Olav Giæver Tande, Idar Barstad, Alexis Benhamou, Thomas Brathaug, Tore Christiansen, Anouk-Letizia Firle, Alexander Fjeldly, Lars Frøyd, Alexander Gleim, Alexander Høiberget, Catherine Meissner, Guttorm Nygård, Jørgen Olsen, Håvard Paulshus, Tore Rasmussen, Elling Rishoff, Francesco Scibilia, John Olav Skogås
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. IEEE Access 11 (2023)
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 (2023)
Elias Mohammed Elfarri, Adil Rasheed, Omer San
Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality. IEEE Access 11 (2023)
Shady E. Ahmed, Omer San
Forward sensitivity analysis and mode dependent control for closure modeling of Galerkin systems. Comput. Math. Appl. 145 (2023)
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. Appl. Soft Comput. 128 (2022)
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. Neural Networks 146 (2022)
Changhong Mou, Elia Merzari, Omer San, Traian Iliescu
An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows. CoRR (2022)
Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, Alessandro Veneziani
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. CoRR (2022)
William Snyder, Changhong Mou, Honghu Liu, Omer San, Raffaella De Vita, Traian Iliescu
Reduced Order Model Closures: A Brief Tutorial. CoRR (2022)
Elias Mohammed Elfarri, Adil Rasheed, Omer San
Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality. CoRR (2022)
Omer San, Suraj Pawar, Adil Rasheed
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. CoRR (2022)
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. CoRR (2022)
Omer San, Suraj Pawar, Adil Rasheed
Decentralized digital twins of complex dynamical systems. CoRR (2022)
Omer San, Suraj Pawar, Adil Rasheed
Prospects of federated machine learning in fluid dynamics. CoRR (2022)
Amalie Heiberg, Thomas Nakken Larsen, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. Neural Networks 152 (2022)
Diana Alina Bistrian, Omer San, Ionel Michael Navon
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning. CoRR (2022)
Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
Physics guided neural networks for modelling of non-linear dynamics. CoRR (2022)
Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
Physics guided neural networks for modelling of non-linear dynamics. Neural Networks 154 (2022)
Shady E. Ahmed, Omer San, Diana Alina Bistrian, Ionel Michael Navon
Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations. CoRR (2022)
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 (2021)
Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San
Geometric Change Detection in Digital Twins using 3D Machine Learning. CoRR (2021)
Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu
Nonlinear proper orthogonal decomposition for convection-dominated flows. CoRR (2021)
Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San
Geometric Change Detection in Digital Twins. Digit. 1 (2) (2021)
Omer San, Adil Rasheed, Trond Kvamsdal
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. CoRR (2021)
Omer San
The digital twin revolution. Nat. Comput. Sci. 1 (5) (2021)
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 (2021)
Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes
Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis. Ecol. Informatics 62 (2021)
Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. CoRR (2021)
Changhong Mou, Birgul Koc, Omer San, Traian Iliescu
Data-Driven Variational Multiscale Reduced Order Models. CoRR (2020)
Simen Theie Havenstrøm, Camilla Sterud, Adil Rasheed, Omer San
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. CoRR (2020)
Adil Rasheed, Omer San, Trond Kvamsdal
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. IEEE Access 8 (2020)
Andrine Elsetrønning, Adil Rasheed, Jon Bekker, Omer San
On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification. CoRR (2020)
Shady E. Ahmed, Omer San, Kursat Kara, Rami M. Younis, Adil Rasheed
Interface learning of multiphysics and multiscale systems. CoRR (2020)
Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes
Marine life through You Only Look Once's perspective. CoRR (2020)
Suraj Pawar, Omer San, Burak Aksoylu, Adil Rasheed, Trond Kvamsdal
Physics guided machine learning using simplified theories. CoRR (2020)
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 (2020)
Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning. IEEE Access 8 (2020)
Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning. IEEE Access 8 (2020)
Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning. CoRR (2020)
Simen Theie Havenstrøm, Adil Rasheed, Omer San
Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles. CoRR (2020)
Simen Theie Havenstrøm, Adil Rasheed, Omer San
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. Frontiers Robotics AI 7 (2020)
Romit Maulik, Omer San
Numerical assessments of a parametric implicit large eddy simulation model. J. Comput. Appl. Math. 376 (2020)
Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. CoRR (2019)
Omer San, Romit Maulik, Mansoor Ahmed
An artificial neural network framework for reduced order modeling of transient flows. Commun. Nonlinear Sci. Numer. Simul. 77 (2019)
Haakon Robinson, Adil Rasheed, Omer San
Dissecting Deep Neural Networks. CoRR (2019)
Sk. Mashfiqur Rahman, Suraj Pawar, Omer San, Adil Rasheed, Traian Iliescu
A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. CoRR (2019)
Weiwei Hu, Omer San
Optimal Control of Heat Transfer in Unsteady Stokes Flows. CDC (2018)
Omer San, Prakash Vedula
Generalized Deconvolution Procedure for Structural Modeling of Turbulence. J. Sci. Comput. 75 (2) (2018)
Romit Maulik, Omer San
Explicit and implicit LES closures for Burgers turbulence. J. Comput. Appl. Math. 327 (2018)
Omer San, Romit Maulik
Neural network closures for nonlinear model order reduction. Adv. Comput. Math. 44 (6) (2018)
Romit Maulik, Omer San
A novel dynamic framework for subgrid scale parametrization of mesoscale eddies in quasigeostrophic turbulent flows. Comput. Math. Appl. 74 (3) (2017)
Omer San, Prakash Vedula
Generalized deconvolution procedure for structural modeling of turbulence. CoRR (2017)
Omer San, Traian Iliescu
A stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation. Adv. Comput. Math. 41 (5) (2015)
Omer San, Anne E. Staples
A coarse-grid projection method for accelerating incompressible flow computations. J. Comput. Phys. 233 (2013)