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San, Omer

  1. Digital Twin: Values, Challenges and Enablers
    2019/10/03 by Adil Rasheed, Rasheed, Adil, Omer San +3 · 9 citations
    Computer Science · Engineering · #Digital Transformation in Industry #Engineering Education and Technology #FOS: Electrical engineering #Signal Processing (eess.SP) #Technology Assessment and Management #electronic engineering #information engineering
  2. Physics guided neural networks for modelling of non-linear dynamics
    2022/05/13 by Haakon Robinson, Robinson, Haakon, Suraj Pawar +5 · 5 citations
    Computer Science · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
  3. SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
    2023/06/24 by Pu Ren, N. Benjamin Erichson, Ren, Pu +10 · 4 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Image and Signal Denoising Methods
  4. Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
    2018/12/05 by Maulik, Romit, San, Omer, Rasheed, Adil +1 · 2 citations
    #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
  5. Bridging Large Eddy Simulation and Reduced Order Modeling of Convection-Dominated Flows through Spatial Filtering: Review and Perspectives
    2024/06/28 by Quaini, Annalisa, San, Omer, Veneziani, Alessandro +1 · 3 citations
    #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Numerical Analysis (math.NA)
  6. Generalized deconvolution procedure for structural modeling of turbulence
    2017/07/28 by San, Omer, Vedula, Prakash · 1 citation
    #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Numerical Analysis (math.NA)
  7. COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning
    2020/06/16 by Eivind Meyer, Meyer, Eivind, Amalie Heiberg +5 · 2 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Maritime Navigation and Safety #Robotic Path Planning Algorithms #Robotics (cs.RO) #Underwater Vehicles and Communication Systems
  8. An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows
    2022/11/08 by Changhong Mou, Mou, Changhong, Elia Merzari +5 · 2 citations
    Engineering · Mathematics · Physics and Astronomy · #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Vibration Analysis #Fractional Differential Equations Solutions #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  9. Forward sensitivity analysis of the FitzHugh-Nagumo system: Parameter estimation
    2021/02/05 by Shady E. Ahmed, Omer San, Ahmed, Shady E. +3 · 1 citation
    Neuroscience · Physics and Astronomy · Computer Science · #Neural dynamics and brain function #stochastic dynamics and bifurcation #Nonlinear Dynamics and Pattern Formation
  10. Multi-fidelity information fusion with concatenated neural networks
    2021/10/08 by Pawar, Suraj, San, Omer, Vedula, Prakash +2 · 1 citation
    #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
  11. Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
    2022/05/25 by Shady E. Ahmed, Omer San, Ahmed, Shady E. +7 · 1 citation
    Engineering · Physics and Astronomy · #Electromagnetic Simulation and Numerical Methods #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Pattern Formation and Solitons (nlin.PS)
  12. Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
    2022/06/07 by Sindre Stenen Blakseth, Adil Rasheed, Blakseth, Sindre Stenen +5 · 2 citations
    Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Heat Transfer and Optimization #Nuclear reactor physics and engineering
  13. Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
    2021/03/26 by Omer San, San, Omer, Adil Rasheed +3 · 1 citation
    Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Electromagnetic Simulation and Numerical Methods #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
  14. Hybrid Modeling, Sim-to-Real Reinforcement Learning, and Large Language Model Driven Control for Digital Twins
    2025/10/27 by Rasheed, Adil, Ravik, Oscar, San, Omer · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  15. Large Language Models for Control
    2025/11/01 by Adil Rasheed, Rasheed, Adil, Oscar Ravik +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Electrical engineering #Multimodal Machine Learning Applications #Systems and Control (eess.SY) #Topic Modeling #electronic engineering #information engineering