Stebėti
Saleh Nabi
Saleh Nabi
AI Researcher, Schneider Electric
Patvirtintas el. paštas se.com
Pavadinimas
Cituota
Cituota
Metai
Sparse sensing and DMD-based identification of flow regimes and bifurcations in complex flows
B Kramer, P Grover, P Boufounos, S Nabi, M Benosman
SIAM Journal on Applied Dynamical Systems 16 (2), 1164-1196, 2017
802017
Optimal control of PDEs using physics-informed neural networks
S Mowlavi, S Nabi
Journal of Computational Physics 473, 111731, 2023
632023
Deep reinforcement learning for partial differential equation control
A Farahmand, S Nabi, DN Nikovski
2017 American Control Conference (ACC), 3120-3127, 2017
482017
Method for Data-Driven Learning-based Control of HVAC Systems using High-Dimensional Sensory Observations
A Farahmand, S Nabi, P Grover, DN Nikovski
US Patent App. 15/290,038, 2018
272018
The hydraulics of exchange flow between adjacent confined building zones
S Nabi, MR Flynn
Building and Environment, 2013
212013
The hydraulics of exchange flow between adjacent confined building zones
S Nabi, M Flynn
Bulletin of the American Physical Society 57, 2012
212012
Adjoint-based optimization of displacement ventilation flow
S Nabi, P Grover, CP Caulfield
Building and Environment 124, 342-356, 2017
192017
Simultaneous effects of Brownian motion and clustering of nanoparticles on thermal conductivity of nanofluids
S Nabi, E Shirani
172012
Dynamic mode decomposition and robust estimation: Case study of a 2d turbulent boussinesq flow
S Vijayshankar, S Nabi, A Chakrabarty, P Grover, M Benosman
2020 American Control Conference (ACC), 2351-2356, 2020
162020
Reinforcement learning with function-valued action spaces for partial differential equation control
Y Pan, A Farahmand, M White, S Nabi, P Grover, D Nikovski
International Conference on Machine Learning, 3986-3995, 2018
162018
Nonlinear optimal control strategies for buoyancy-driven flows in the built environment
S Nabi, P Grover, CP Caulfield
Computers & Fluids 194, 104313, 2019
122019
Reduced-order modeling of fully turbulent buoyancy-driven flows using the Green's function method
MA Khodkar, P Hassanzadeh, S Nabi, P Grover
Physical Review Fluids 4 (1), 013801, 2019
122019
Learning to Control Partial Differential Equations: Regularized Fitted Q-Iteration Approach
DN Farahmand, A.-M., Nabi, S., Grover, P., Nikovski
IEEE Conference on Decision and Control (CDC), 2016
102016
Coupled Simulation of a Room Air-conditioner with CFD Models for Indoor Environment.
H Qiao, X Han, S Nabi, CR Laughman
Modelica, 157:028, 2019
92019
Improving LiDAR performance on complex terrain using CFD-based correction and direct-adjoint-loop optimization
S Nabi, N Nishio, P Grover, R Matai, Y Kajiyama, N Kotake, S Kameyama, ...
Journal of Physics: Conference Series 1452 (012082), 2020
72020
A study of refrigerant dispersion in occupied spaces under parametric variation
C Laughman, P Grover, S Nabi
Proc. ASHRAE Annual Conference, Atlanta, GA, 2015
72015
Data-driven control of COVID-19 in buildings: a reinforcement-learning approach
AH Hosseinloo, S Nabi, A Hosoi, MA Dahleh
IEEE Transactions on Automation Science and Engineering, 2023
62023
Physics-informed neural ODE (PINODE): embedding physics into models using collocation points
A Sholokhov, Y Liu, H Mansour, S Nabi
Scientific Reports 13 (1), 10166, 2023
62023
Influence of geometric parameters on the eventual buoyancy stratification that develops due to architectural exchange flow
S Nabi, MR Flynn
Building and Environment, 2014
62014
Performance evaluation of HVAC systems via coupled simulation between modelica and OpenFOAM
H Qiao, S Nabi, CR Laughman
International Conference on Compressor and Refrigeration, TR2019-TR2073, 2019
52019
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20