A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. - Sk. Mashfiqur Rahman; Suraj Pawar; Omer San; Adil Rasheed; Traian Iliescu (CoRR, 2019)

A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. - Shady E. Ahmed; Suraj Pawar; Omer San; Adil Rasheed; Mandar V. Tabib (CoRR, 2020)

Physics guided machine learning using simplified theories. - Suraj Pawar; Omer San; Burak Aksoylu; Adil Rasheed; Trond Kvamsdal (CoRR, 2020)

Distributed deep reinforcement learning for simulation control. - Suraj Pawar; Romit Maulik (Mach. Learn. Sci. Technol., 2021)

Decentralized digital twins of complex dynamical systems. - Omer San; Suraj Pawar; Adil Rasheed (CoRR, 2022)

Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. - Omer San; Suraj Pawar; Adil Rasheed (CoRR, 2022)

Prospects of federated machine learning in fluid dynamics. - Omer San; Suraj Pawar; Adil Rasheed (CoRR, 2022)

Physics guided neural networks for modelling of non-linear dynamics. - Haakon Robinson; Suraj Pawar; Adil Rasheed; Omer San (Neural Networks, 2022)

Multi-fidelity reinforcement learning framework for shape optimization. - Sahil Bhola; Suraj Pawar; Prasanna Balaprakash; Romit Maulik (J. Comput. Phys., 2023)

Fourier Neural Operator based surrogates for CO2 storage in realistic geologies. - Anirban Chandra; Marius Koch; Suraj Pawar; Aniruddha Panda; Kamyar Azizzadenesheli; Jeroen Snippe; Faruk O. Alpak; Farah Hariri; Clement Etienam; Pandu Devarakota; Anima Anandkumar; Detlef Hohl (CoRR, 2025)