Saleh Nabi

According to our database1, Saleh Nabi authored at least 14 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Optimal control of PDEs using physics-informed neural networks.
J. Comput. Phys., 2023

Reinforcement learning-based estimation for partial differential equations.
CoRR, 2023

Deep Born Operator Learning for Reflection Tomographic Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2023

Quadrotor Motion Planning in Stochastic Wind Fields.
Proceedings of the American Control Conference, 2023

2022
Co-design of reduced-order models and observers from thermo-fluid data.
IFAC J. Syst. Control., 2022

Data-driven control of COVID-19 in buildings: a reinforcement-learning approach.
CoRR, 2022

Physics-Informed Koopman Network.
CoRR, 2022

2021
Robust Adaptive Dynamic Mode Decomposition for Reduce Order Modelling of Partial Differential Equations.
Proceedings of the 2021 American Control Conference, 2021

2020
Dynamic Mode Decomposition and Robust Estimation: Case Study of a 2D Turbulent Boussinesq Flow.
Proceedings of the 2020 American Control Conference, 2020

2019
Coupled Simulation of a Room Air-conditioner with CFD Models for Indoor Environment.
Proceedings of the 13th International Modelica Conference, Regensburg, Germany, 2019

2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows.
SIAM J. Appl. Dyn. Syst., 2017

Deep reinforcement learning for partial differential equation control.
Proceedings of the 2017 American Control Conference, 2017

2016
Learning to control partial differential equations: Regularized Fitted Q-Iteration approach.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016


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