| 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 | 79 | 2017 |
| Optimal control of PDEs using physics-informed neural networks S Mowlavi, S Nabi Journal of Computational Physics 473, 111731, 2023 | 61 | 2023 |
| Deep reinforcement learning for partial differential equation control A Farahmand, S Nabi, DN Nikovski 2017 American Control Conference (ACC), 3120-3127, 2017 | 49 | 2017 |
| 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 | 28 | 2018 |
| The hydraulics of exchange flow between adjacent confined building zones S Nabi, MR Flynn Building and Environment, 2013 | 21 | 2013 |
| The hydraulics of exchange flow between adjacent confined building zones S Nabi, M Flynn Bulletin of the American Physical Society 57, 2012 | 21 | 2012 |
| Adjoint-based optimization of displacement ventilation flow S Nabi, P Grover, CP Caulfield Building and Environment 124, 342-356, 2017 | 19 | 2017 |
| Simultaneous effects of Brownian motion and clustering of nanoparticles on thermal conductivity of nanofluids S Nabi, E Shirani | 17 | 2012 |
| 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 | 16 | 2020 |
| 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 | 16 | 2018 |
| 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 | 13 | 2019 |
| Nonlinear optimal control strategies for buoyancy-driven flows in the built environment S Nabi, P Grover, CP Caulfield Computers & Fluids 194, 104313, 2019 | 12 | 2019 |
| 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 | 10 | 2016 |
| 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 | 9 | 2019 |
| System and method for personalized thermal comfort control S Nabi, E Laftchiev, P Grover US Patent 11,788,755, 2023 | 7 | 2023 |
| 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 | 7 | 2020 |
| A study of refrigerant dispersion in occupied spaces under parametric variation C Laughman, P Grover, S Nabi Proc. ASHRAE Annual Conference, Atlanta, GA, 2015 | 7 | 2015 |
| 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 | 6 | 2023 |
| 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 | 6 | 2023 |
| Influence of geometric parameters on the eventual buoyancy stratification that develops due to architectural exchange flow S Nabi, MR Flynn Building and Environment, 2014 | 6 | 2014 |
Piyush GroverAssistant Professor, University of Nebraska-Lincoln在 unl.edu 的电子邮件经过验证
