Omer San - RankMe

72 papers Journal 71Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SIMR-NO: A Spectrally-Informed Multi-Resolution Neural Operator for Turbulent Flow Super-Resolution. CoRR Muhammad Abid, Omer San
2026	J	`jnl`	Stabilizing autoregressive forecasts in chaotic systems via multi-rate latent recurrence. CoRR Mrigank Dhingra, Omer San
2026	J	`jnl`	The evolution of digital twins from reactive to agentic systems. Nat. Comput. Sci. Omer San, Adil Rasheed, Eda Bozdemir, Jun Deng
2025	J	`jnl`	FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning. CoRR Arth Sojitra, Mrigank Dhingra, Omer San
2025	J	`jnl`	Hybrid Modeling, Sim-to-Real Reinforcement Learning, and Large Language Model Driven Control for Digital Twins. CoRR Adil Rasheed, Oscar Ravik, Omer San
2025	J	`jnl`	Large Language Models for Control. CoRR Adil Rasheed, Oscar Ravik, Omer San
2025	J	`jnl`	Localized PCA-Net Neural Operators for Scalable Solution Reconstruction of Elliptic PDEs. CoRR Mrigank Dhingra, Romit Maulik, Adil Rasheed, Omer San
2025	J	`jnl`	Method of Manufactured Learning for Solver-free Training of Neural Operators. CoRR Arth Sojitra, Omer San
2025	J	`jnl`	Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation. CoRR Muhammad Abid, Omer San
2025	J	`jnl`	SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. J. Data-centric Mach. Learn. Res. Pu Ren, N. Benjamin Erichson, Junyi Guo, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney
2024	J	`jnl`	Bridging Large Eddy Simulation and Reduced Order Modeling of Convection-Dominated Flows through Spatial Filtering: Review and Perspectives. CoRR Annalisa Quaini, Omer San, Alessandro Veneziani, Traian Iliescu
2024	J	`jnl`	Digital Twin for Wind Energy: Latest updates from the NorthWind project. CoRR 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
2024	J	`jnl`	Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. Appl. Soft Comput. Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2024	J	`jnl`	Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach. Eng. Appl. Artif. Intell. Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed, Mandar V. Tabib, Omer San, Jan-Tore Horn
2023	J	`jnl`	Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality. IEEE Access Elias Mohammed Elfarri, Adil Rasheed, Omer San
2023	J	`jnl`	Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. IEEE Access 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
2023	J	`jnl`	Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. CoRR 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, John Olav Skogås
2023	J	`jnl`	Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions. CoRR Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2023	J	`jnl`	Forward sensitivity analysis and mode dependent control for closure modeling of Galerkin systems. Comput. Math. Appl. Shady E. Ahmed, Omer San
2023	J	`jnl`	Machine Learning for enhancing Wind Field Resolution in Complex Terrain. CoRR Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed, Mandar V. Tabib, Omer San, Jan-Tore Horn
2023	J	`jnl`	On the dual advantage of placing observations through forward sensitivity analysis. CoRR Shady E. Ahmed, Omer San, Sivaramakrishnan Lakshmivarahan, John M. Lewis
2023	J	`jnl`	Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. SIAM J. Sci. Comput. Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, Alessandro Veneziani
2023	J	`jnl`	SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning. CoRR Pu Ren, N. Benjamin Erichson, Shashank Subramanian, Omer San, Zarija Lukic, Michael W. Mahoney
2022	J	`jnl`	An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows. CoRR Changhong Mou, Elia Merzari, Omer San, Traian Iliescu
2022	J	`jnl`	Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality. CoRR Elias Mohammed Elfarri, Adil Rasheed, Omer San
2022	J	`jnl`	Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. Appl. Soft Comput. Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2022	J	`jnl`	Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. CoRR Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2022	J	`jnl`	Decentralized digital twins of complex dynamical systems. CoRR Omer San, Suraj Pawar, Adil Rasheed
2022	J	`jnl`	Deep neural network enabled corrective source term approach to hybrid analysis and modeling. Neural Networks Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2022	J	`jnl`	Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. CoRR Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, Alessandro Veneziani
2022	J	`jnl`	Physics guided neural networks for modelling of non-linear dynamics. CoRR Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
2022	J	`jnl`	Physics guided neural networks for modelling of non-linear dynamics. Neural Networks Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San
2022	J	`jnl`	Prospects of federated machine learning in fluid dynamics. CoRR Omer San, Suraj Pawar, Adil Rasheed
2022	J	`jnl`	Reduced Order Model Closures: A Brief Tutorial. CoRR William Snyder, Changhong Mou, Honghu Liu, Omer San, Raffaella De Vita, Traian Iliescu
2022	J	`jnl`	Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. Neural Networks Amalie Heiberg, Thomas Nakken Larsen, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo
2022	J	`jnl`	Sketching Methods for Dynamic Mode Decomposition in Spherical Shallow Water Equations. CoRR Shady E. Ahmed, Omer San, Diana Alina Bistrian, Ionel Michael Navon
2022	J	`jnl`	Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. CoRR Omer San, Suraj Pawar, Adil Rasheed
2021	J	`jnl`	A Numerical Investigation of the Lengthscale in the Mixing-Length Reduced Order Model of the Turbulent Channel Flow. CoRR Changhong Mou, Elia Merzari, Omer San, Traian Iliescu
2021	J	`jnl`	Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis. Ecol. Informatics Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes
2021	J	`jnl`	Deep neural network enabled corrective source term approach to hybrid analysis and modeling. CoRR Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San
2021	J	`jnl`	Geometric Change Detection in Digital Twins using 3D Machine Learning. CoRR Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San
2021	J	`jnl`	Geometric Change Detection in Digital Twins. Digit. Tiril Sundby, Julia Maria Graham, Adil Rasheed, Mandar V. Tabib, Omer San
2021	J	`jnl`	Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. CoRR Omer San, Adil Rasheed, Trond Kvamsdal
2021	J	`jnl`	Nonlinear proper orthogonal decomposition for convection-dominated flows. CoRR Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu
2021	J	`jnl`	Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. CoRR Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo
2021	J	`jnl`	The digital twin revolution. Nat. Comput. Sci. Omer San
2020	J	`jnl`	A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. CoRR Shady E. Ahmed, Suraj Pawar, Omer San, Adil Rasheed, Mandar V. Tabib
2020	J	`jnl`	COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning. IEEE Access Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San
2020	J	`jnl`	COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning. CoRR Eivind Meyer, Amalie Heiberg, Adil Rasheed, Omer San
2020	J	`jnl`	Data-Driven Variational Multiscale Reduced Order Models. CoRR Changhong Mou, Birgul Koc, Omer San, Traian Iliescu
2020	J	`jnl`	Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. Frontiers Robotics AI Simen Theie Havenstrøm, Adil Rasheed, Omer San
2020	J	`jnl`	Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles. CoRR Simen Theie Havenstrøm, Adil Rasheed, Omer San
2020	J	`jnl`	Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. IEEE Access Adil Rasheed, Omer San, Trond Kvamsdal
2020	J	`jnl`	Interface learning of multiphysics and multiscale systems. CoRR Shady E. Ahmed, Omer San, Kursat Kara, Rami M. Younis, Adil Rasheed
2020	J	`jnl`	Marine life through You Only Look Once's perspective. CoRR Herman Stavelin, Adil Rasheed, Omer San, Arne Johan Hestnes
2020	J	`jnl`	Numerical assessments of a parametric implicit large eddy simulation model. J. Comput. Appl. Math. Romit Maulik, Omer San
2020	J	`jnl`	On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification. CoRR Andrine Elsetrønning, Adil Rasheed, Jon Bekker, Omer San
2020	J	`jnl`	Physics guided machine learning using simplified theories. CoRR Suraj Pawar, Omer San, Burak Aksoylu, Adil Rasheed, Trond Kvamsdal
2020	J	`jnl`	Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. CoRR Simen Theie Havenstrøm, Camilla Sterud, Adil Rasheed, Omer San
2020	J	`jnl`	Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning. IEEE Access Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
2019	J	`jnl`	A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. CoRR Sk. Mashfiqur Rahman, Suraj Pawar, Omer San, Adil Rasheed, Traian Iliescu
2019	J	`jnl`	An artificial neural network framework for reduced order modeling of transient flows. Commun. Nonlinear Sci. Numer. Simul. Omer San, Romit Maulik, Mansoor Ahmed
2019	J	`jnl`	Dissecting Deep Neural Networks. CoRR Haakon Robinson, Adil Rasheed, Omer San
2019	J	`jnl`	Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. CoRR Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
2018	J	`jnl`	Explicit and implicit LES closures for Burgers turbulence. J. Comput. Appl. Math. Romit Maulik, Omer San
2018	J	`jnl`	Generalized Deconvolution Procedure for Structural Modeling of Turbulence. J. Sci. Comput. Omer San, Prakash Vedula
2018	J	`jnl`	Neural network closures for nonlinear model order reduction. Adv. Comput. Math. Omer San, Romit Maulik
2018	—	`conf`	Optimal Control of Heat Transfer in Unsteady Stokes Flows. CDC Weiwei Hu, Omer San
2017	J	`jnl`	A novel dynamic framework for subgrid scale parametrization of mesoscale eddies in quasigeostrophic turbulent flows. Comput. Math. Appl. Romit Maulik, Omer San
2017	J	`jnl`	Generalized deconvolution procedure for structural modeling of turbulence. CoRR Omer San, Prakash Vedula
2015	J	`jnl`	A stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation. Adv. Comput. Math. Omer San, Traian Iliescu
2013	J	`jnl`	A coarse-grid projection method for accelerating incompressible flow computations. J. Comput. Phys. Omer San, Anne E. Staples