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Scientific Reports|November 17, 2023
Decentralized digital twins of complex dynamical systemsOmer San, Suraj Pawar, Adil RasheedScientific Reports|October 26, 2022
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systemsOmer San, Suraj Pawar, Adil RasheedNeural Networks : the Official Journal of the International Neural Network Society|August 6, 2022
Physics guided neural networks for modelling of non-linear dynamicsHaakon Robinson, Suraj Pawar, Adil Rasheed, et al.Scientific Reports|April 8, 2022
Multi-fidelity information fusion with concatenated neural networksSuraj Pawar, Omer San, Prakash Vedula, et al.Frontiers in Robotics and AI|February 15, 2021
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater VehiclesSimen Theie Havenstrøm, Adil Rasheed, Omer SanPhysical Review. E|November 20, 2020
Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reductionShady E Ahmed, Kinjal Bhar, Omer San, et al.Neural Networks : the Official Journal of the International Neural Network Society|December 11, 2021
Deep neural network enabled corrective source term approach to hybrid analysis and modelingSindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, et al.Physical Review. E|December 17, 2020
Interface learning of multiphysics and multiscale systemsShady E Ahmed, Omer San, Kursat Kara, et al.Plos One|February 11, 2021
Multifidelity computing for coupling full and reduced order modelsShady E Ahmed, Omer San, Kursat Kara, et al.Neural Networks : the Official Journal of the International Neural Network Society|May 2, 2022
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learningAmalie Heiberg, Thomas Nakken Larsen, Eivind Meyer, et al.Pageof 6