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2021
- Gupta, P., Taskar B., Steen, S., Rasheed, A. Statistical modeling of Ship’s hydrodynamic performance indicator, Applied Ocean Research, 111(102623), 2021
- Sundby, T.; Graham, J.M.; Rasheed, A.; Tabib, M.; San, O. Geometric Change Detection in Digital Twins. Digital 2021, 1, 111-129.
- Ahmed, S. E., Pawar, S., San, O., Rasheed, A. and Tabib, M. A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. Computers and Fluids, 221, 104895, 2021.
- Stavelin, H., Rasheed, A., San, O. and Hestnes, A. J. Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis. Ecological Informatics 62, 101269, 2021.
- Ahmed, S. E., San, O., Kara, K., Younis, R. and Rasheed, A. Multifidelity computing for coupling full and reduced order models. PLOS ONE, 16(2), e0246092, 2021.
- Havenstrøm, S. T., Rasheed, A. and San, O. Deep reinforcement learning controller for 3D path following and collision avoidance by autonomous underwater vehicles. Frontiers in Robotics and AI, 7, 566037, 2021.
- Pawar, S., San, O., Aksoylu, B., Rasheed, A. and Kvamsdal, T. Physics guided machine learning using simplified theories. Physics of Fluids, 33, 011701, 2021.
- Pawar, S. and San, O. Data assimilation empowered neural network parameterizations for subgrid processes in geophysical flows. Physical Review Fluids, accepted, 2020.
- Mou, C., Koc, B., San, O. , Rebholz, L. G. and Iliescu, T. Data-driven variational multiscale reduced order models. Computer Methods in Applied Mechanics and Engineering, 373, 113470, 2021.
2020
- Ahmed, S. E., Pawar, S. and San, O. PyDA: A hands-on introduction to dynamical data assimilation with Python. Fluids, 5(4), 225, 2020.
- Ahmed, S. E., San, O., Kara, K., Younis, R. and Rasheed, A. Interface learning of multiphysics and multiscale systems. Physical Review E, 102, 053304, 2020.
- Ahmed, S. E., Bhar, K., San, O. and Rasheed, A. Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction. Physical Review E, 102, 043302, 2020.
- Pawar, S., Ahmed, S. E. and San, O. Interface learning in fluid dynamics: statistical inference of closures within micro-macro coupling models. Physics of Fluids, 32, 091704, 2020. (Featured Article)
- Eivind Meyer, Amalie Heiberg, Rasheed, Adil, and Omer San. COLREG-compliant collision avoidance for unmanned surface vehicle using deep reinforcement learning. IEEE Access, 8:165344– 165364, 2020
- Simen Theie Havenstrøm, Camilla Sterud, Adil Rasheed, and Omer San. Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. arXiv e-prints, page arXiv:2002.01022, Feb 2020
- Suraj Pawar, Shady E. Ahmed, Omer San, Adil Rasheed, and Ionel M. Navon. Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows. Physics of Fluids, 32:076606, 2020
- Suraj Pawar, Shady E. Ahmed, O. San, and A. Rasheed. An evolve-then-correct reduced order model for hidden fluid dynamics. Mathematics, 8(4):570, 2020
- Eivind Meyer, Haakon Robinson, Rasheed, Adil, and Omer San. Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. IEEE Access, 8:41466–41481, 2020
- Shady E Ahmed, Omer San, Rasheed, Adil, and Traian Iliescu. A long short term memory for hybrid uplifted reduced order models. Physica D: Nonlinear Phenomena, 409:132471, 2020
- Suraj Pawar, Omer San, Rasheed, Adil, and Prakash Vedula. A priori analysis on deep learning of subgrid-scale parameterizations for kraichnan turbulence. Theoretical and Computational Fluid Dynamics, 34:429–455, 2020
- Suraj Pawar, Shady E Ahmed, Omer San, and Rasheed, Adil. Data-driven recovery of hidden physics in reduced order modeling of fluid flows. Physics of Fluids, 32:036602, 2020
- Rasheed, Adil, Omer San, and Trond Kvamsdal. Digital Twin: Values, Challenges and Enablers from a modeling perspective. IEEE Access, 8:21980–22012, 2020
- Harsha Vaddireddy, Rasheed, Adil, Anne E Staples, and Omer San. Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensors. Physics of Fluids, Editor’s pick, 32:015113, 2020
- Muhammad Salman Siddiqui, Rasheed, Adil, and Trond Kvamsdal. Numerical assessment of rans turbulence models for the development of data driven reduced order models. Ocean Engi- neering, 196:106799, 2020
- Ahmed, S. E., Pawar, S. and San, O. PyDA: A hands-on introduction to dynamical data assimilation with Python. Fluids, 5(4), 225, 2020.
- Pawar, S., Ahmed, S. E. and San, O. Interface learning in fluid dynamics: statistical inference of closures within micro-macro coupling models. Physics of Fluids, 32, 091704, 2020.
- Ahmed, M., Park, H., Bach, C. K. and San, O. Numerical Investigation of Air Mixer for HVAC Testing Applications (ASHRAE RP-1733). Science and Technology for the Built Environment, 26(9), 1252-1273, 2020.
- Maulik, R. and San, O. Numerical assessments of a parametric implicit large eddy simulation model. Journal of Computational and Applied Mathematics, 376, 112866, 2020.
- Maulik, R., San, O. and Jacob, J. D. Spatiotemporally dynamic implicit large eddy simulation using machine learning classifiers. Physica D: Nonlinear Phenomena, 406, 132409, 2020.
- Ahmed, S. E. and San, O. Breaking the Kolmogorov barrier in model reduction of fluid flows. Fluids, 5, 26, 2020.
- Ahmed, S. E., San, O., Bistrian, D. A. and Navon, I. M. Sampling and resolution characteristics in reduced order models of shallow water equations: intrusive vs non‐intrusive. International Journal for Numerical Methods in Fluids, 92 (8), 992-1036, 2020.
2019
- Shady E Ahmed, Sk Mashfiqur Rahman, Omer San, Rasheed, Adil, and Ionel M Navon. Memory embedded non-intrusive reduced order modeling of non-ergodic flows. Physics of Fluids, 31:126602, 2019
- Sk Mashfiqur Rahman, Suraj Pawar, Omer San, Rasheed, Adil, and Traian Iliescu. A non- intrusive reduced order modeling framework for quasi-geostrophic turbulence. Physical Review E, 100:053306, 2019
- Muhammad Salman Siddiqui, Rasheed, Adil, and Trond Kvamsdal. Validation of the numerical simulations of flow around a scaled-down turbine using experimental data from wind tunnel. Wind and Structures, 29:405–416, 2019
- Suraj Pawar, Sk Mashfiqur Rahman, Harsha Vaddireddy, Omer San, Rasheed, Adil, and Prakash Vedula. A deep learning enabler for non-intrusive reduced order modeling of fluid flows. Physics of Fluids, Editor’s Pick, 31:085101, 2019
- Muhammad Salman Siddiqui, Eivind Fonn, Trond Kvamsdal, and Rasheed, Adil. Finite-volume high-fidelity simulation combined with finite-element-based reduced-order modeling of incompress- ible flow problems. Energies, 12:1271, 2019
- Eivind Fonn, Harald van Brummelen, Trond Kvamsdal, and Rasheed, Adil. Fast divergence- conforming reduced basis methods for steady navier–stokes flow. Computer Methods in Applied Mechanics and Engineering, 346:486–512, 2019
- Romit Maulik, Omer San, Rasheed, Adil, and Prakash Vedula. Sub-grid modelling for two- dimensional turbulence using neural networks. Journal of Fluid Mechanics, 858:122–144, 2019
- Romit Maulik, Omer San, Rasheed, Adil, and Prakash Vedula. Data-driven deconvolution for large eddy simulations of kraichnan turbulence. Physics of Fluids, 30:125109, 2018
- Sk. Mashfiqur Rahman, Omer San, and Rasheed, Adil. A hybrid approach for model order reduction of barotropic quasi-geostrophic turbulence. Fluids, 3(4):125109, 2018
- Mandar V. Tabib, Ole Martin Løvvik, Kjetil Johannessen, Rasheed, Adil, Espen Sagvolden, and Anne Marthine Rustad. Discovering thermoelectric materials using machine learning: Insights and challenges. In Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, and Ilias Maglogiannis, editors, Artificial Neural Networks and Machine Learning – ICANN 2018, pages 392–401, Cham, 2018. Springer International Publishing
- Muhammad Salman Siddiqui, Rasheed, Adil, Mandar V Tabib, and Trond Kvamsdal. Numerical investigation of modeling frameworks and geometric approximations on nrel 5 mw wind turbine. Renewable Energy, 132:1058–1075, 2019
- Pawar, S. and San, O. CFD Julia: A learning module structuring an introductory course on computational fluid dynamics. Fluids, 4(3), 159, 2019.
- Vaddireddy, H. and San, O. Equation discovery using fast function extraction: a deterministic symbolic regression approach. Fluids, 4(2), 111, 2019.
- Rahman, S. M., Ahmed, S. and San, O. A dynamic closure modeling framework for model order reduction of geophysical flows. Physics of Fluids, 31, 046602, 2019.
- Maulik, R., San, O., Jacob, J. and Crick, C. Sub-grid scale model classification and blending through deep learning. Journal of Fluid Mechanics, 870, 784-812, 2019.
- San, O., Maulik, R. and Ahmed, M. An artificial neural network framework for reduced order modeling of transient flows. Communications in Nonlinear Science and Numerical Simulation, 77, 271-287, 2019.
- Rahman, S. M. and San, O. A relaxation filtering approach for two-dimensional Rayleigh–Taylor instability-induced flows. Fluids, 4(2), 78, 2019.
- Rahman, S. M. and San, O. A localized dynamic closure model for Euler turbulence. International Journal of Computational Fluid Dynamics, 32(8-9), 326-378, 2019.
- Sk Mashfiqur Rahman, Rasheed, Adil, and Omer San. A hybrid analytic framework for accel- erating incompressible flow solvers. Fluids, 3(3):50, 2018
- Knut Nordanger, Rasheed, Adil, Knut Morten Okstad, Arne Morten Kvarving, Runar Holdahl, and Trond Kvamsdal. Numerical benchmarking of fluid-structure interaction: An isogeometric finite element approach. Ocean Engineering, 124:324–339, 2016
- Knut Nordanger, Runar Holdahl, Arne Morten Kvarving, Trond Kvamsdal, and Rasheed, Adil. Simulation of airflow past a 2d naca0015 airfoil using an isogeometric incompressible navier-stokes solver with the spalart-allmaras turbulence model. Computer Methods in Applied Mechanics and Engineering, 290:183–208, 2015
- Knut Nordanger, Runar Holdahl, Arne Morten Kvarving, Rasheed, Adil, and Trond Kvamsdal. Implementation and comparison of three isogeometric navier–stokes solvers applied to simulation of flow past a fixed 2d naca0012 airfoil at high reynolds number. Computer Methods in Applied Mechanics and Engineering, 284:664–688, 2014
- Rasheed, Adil and Asif Mushtaq. Numerical analysis of the flying condition at the alta airport, norway. Aviation, 18:109–119, 2014
- Rasheed, Adil and Karstein Sørli. Cfd analysis of terrain induced turbulence at kristiansand airport, kjevik. Aviation, 17:104–112, 2013
- Rasheed, Adil and Darren Robinson. Characterization of dispersive fluxes in mesoscale models using les of flow over an array of cubes. International Journal of Atmospheric Sciences, 17:898095, 2013
- Rasheed, Adil, Darren Robinson, Alain Clappier, Chidambaram Narayanan, and Djamel Lake- hal. Representing complexities in urban geometry in mesoscale modeling. International Journal of Climatology, 31:289–301, 2011