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2021
1 Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil; Tabib, Mandar.
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. Computers & Fluids 2021
NTNU SINTEF Untitled
 
2 Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil.
Multifidelity computing for coupling full and reduced order models. PLOS ONE 2021 ;Volum 16.(2)
NTNU SINTEF Untitled
 
3 Elsetrønning, Andrine; Rasheed, Adil; Bekker, Jon; San, Omer.
On the effectiveness of signal decomposition, feature extraction and selection to identify lung crackles. arXiv 2021
NTNU SINTEF Untitled
 
4 Havenstrøm, Simen Theie; Rasheed, Adil; San, Omer.
Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles. Frontiers in Robotics and AI 2021 ;Volum 7.
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5 Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil.
Hybrid analysis and modeling for next generation of digital twins. arXiv 2021
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6 Pawar, Suraj; San, Omer; Aksoylu, Burak; Rasheed, Adil; Kvamsdal, Trond.
Physics guided machine learning using simplified theories. Physics of Fluids 2021 ;Volum 33.(1)
NTNU SINTEF Untitled
 
7 Stavelin, Herman; Rasheed, Adil; San, Omer; Hestnes, Arne Johan.
Applying Object Detection to Marine Data and Exploring Explainability of a Fully Convolutional Neural Network Using Principal Component Analysis. Ecological Informatics 2021
NTNU SINTEF Untitled
 
2020
8 Ahmed, Shady E; Bhar, Kinjal; San, Omer; Rasheed, Adil.
Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction. Physical review. E 2020 ;Volum 102.(4) s. -
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9 Ahmed, Shady E; Pawar, Suraj; San, Omer; Rasheed, Adil.
Reduced order modeling of fluid flows: Machine learning, Kolmogorov barrier, closure modeling, and partitioning. arXiv.org 2020
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10 Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil.
Interface learning of multiphysics and multiscale systems. Physical review. E 2020 ;Volum 102.(5) s. -
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11 Ahmed, Shady E; San, Omer; Rasheed, Adil; Trian, Iliescu.
A long-short term memory for hybrid uplifted reduced order models.. Physica D : Non-linear phenomena 2020 ;Volum 409. s. -
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12 Fonn, Eivind; van Brummelen, Harald; Kvamsdal, Trond; Rasheed, Adil.
Fast divergence-conforming reduced basis methods for stationary and transient flow problems. Journal of Physics: Conference Series (JPCS) 2020 ;Volum 1669. s. -
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13 Havenstrøm, Simen Theie; Sterud, Camilla; Rasheed, Adil; San, Omer.
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. arXiv.org 2020
NTNU Untitled
 
14 Meyer, Eivind; Heiberg, Amalie; Rasheed, Adil; San, Omer.
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning. IEEE Access 2020 ;Volum 8. s. 165344-165364
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15 Meyer, Eivind; Robinson, Haakon; Rasheed, Adil; San, Omer.
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning. IEEE Access 2020 ;Volum 8. s. 41466-41481
NTNU SINTEF Untitled
 
16 Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil.
An evolve-then-correct reduced order model for hidden fluid dynamics. Mathematics 2020 ;Volum 8.(4) s. -
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17 Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil.
Data-driven recovery of hidden physics in reduced order modeling of fluid flows. Physics of Fluids 2020 ;Volum 32.(3) s. -
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18 Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil; Navon, Ionel M.
Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows. Physics of Fluids 2020 ;Volum 32.(7) s. -
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19 Pawar, Suraj; San, Omer; Rasheed, Adil; Vedula, Prakash.
A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence. Theoretical and Computational Fluid Dynamics 2020 ;Volum 34. s. 429-455
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20 Rasheed, Adil; San, Omer; Kvamsdal, Trond.
Digital Twin: Values, Challenges and Enablers from a modelling perspective. IEEE Access 2020 ;Volum 8. s. 21980-22012
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21 Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond.
Numerical assessment of RANS turbulence models for the development of data driven Reduced Order Models. Ocean Engineering 2020 ;Volum 196.
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22 Stavelin, Herman; Rasheed, Adil; San, Omer; Hestnes, Arne Johan.
Marine life through You Only Look Once's perspective. arXiv.org 2020
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23 Tabib, Mandar; Midtbø, Knut Helge; Skaslien, Tor; Rasheed, Adil; Kvamsdal, Trond.
Towards Understanding Wind Impact for Drone Operations: A Comparison of Wind Models Operating on Different Scales in a Nested Multiscale Set-Up. I: Proceedings from the 14th International Conference on CFD in Oil & Gas, Metallurgical and Process Industries, SINTEF, Trondheim, Norway, October 12–14, 2020. SINTEF akademisk forlag 2020 ISBN 978-82-536-1684-1. s. 155-162
SINTEF NTNU MET Untitled
 
24 Tran, Duy Tan; Robinson, Haakon; Rasheed, Adil; San, Omer; Tabib, Mandar; Kvamsdal, Trond.
GANs enabled super-resolution reconstruction of wind field. Journal of Physics: Conference Series (JPCS) 2020 ;Volum 1669.(012029)
NTNU SINTEF Untitled
 
25 Vaddireddy, Harsha; Rasheed, Adil; Staples, Anne; San, Omer.
Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data. Physics of Fluids 2020 ;Volum 32.(015113) s. -
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2019
26 Ahmed, Shady E; Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil; Navon, Ionel M.
Memory embedded non-intrusive reduced order modeling of non-ergodic flows. Physics of Fluids 2019 ;Volum 31.(12) s. -
NTNU Untitled
 
27 Ahmed, Shady; Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil.
LSTM based nonintrusive ROM of convective flows. 72nd Annual Meeting of the APS Division of Fluid Dynamics; 2019-11-23 - 2019-11-26
NTNU Untitled
 
28 Fonn, Eivind; Brummelen, Harald van; Kvamsdal, Trond; Rasheed, Adil.
Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow. Computer Methods in Applied Mechanics and Engineering 2019 ;Volum 346. s. 486-512
NTNU SINTEF Untitled
 
29 Gupta, Prateek; Steen, Sverre; Rasheed, Adil.
Big Data Analytics As a Tool to Monitor Hydrodynamic Performance of a Ship. I: ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. Volume 7A: Ocean Engineering. ASME Press 2019 ISBN 978-0-7918-5884-4. s. -
NTNU Untitled
 
30 Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash.
Data-driven filter estimation for the sub-grid modelling of Kraichnan turbulence,. SIAM Conference on Computational Science and Engineering; 2019-02-25 - 2019-03-01
SINTEF Untitled
 
31 Pawar, Suraj; Rahman, Sk. Mashfiqur; Vaddireddy, H; San, Omer; Rasheed, Adil; Vedula, Prakash.
A deep learning enabler for non-intrusive reduced order modeling of fluid flows. Physics of Fluids 2019 ;Volum 31.(8) s. -
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32 Pawar, Suraj; San, Omer; Rasheed, Adil.
Deep learning based sub-grid scale closure for LES of Kraichnan turbulence. 72nd Annual Meeting of the APS Division of Fluid Dynamics; 2019-11-23 - 2019-11-26
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33 Rahman, Sk. Mashfiqur; Pawar, Suraj; San, Omer; Rasheed, Adil; Iliescu, Traian.
Nonintrusive reduced order modeling framework for quasigeostrophic turbulence. Physical review. E 2019 ;Volum 100.(5) s. -
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34 Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil.
A Hybrid Approach for Model Order Reduction of Barotropic Quasi-geostrophic Turbulence. SIAM Conference on Computational Science and Engineering; 2019-02-25 - 2019-03-01
SINTEF NTNU Untitled
 
35 Rasheed, Adil.
Stordata-kybernetikk / Big Data Cybernetics. Teka Big Data Seminar; 2019-11-27 - 2019-11-27
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36 Rasheed, Adil; San, Omer; Kvamsdal, Trond.
Hybrid Analysis and Modeling as an enabler for Big Data Cybernetics. Oulu, Finland: University of Oulu 2019 (ISBN 978-952-62-2420-6) ;Volum 1.4 s. Proceedings of NSCM 32: The 32nd Nordic Seminar on Computational Mechanics(1)
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37 Robinson, Haakon; Rasheed, Adil; San, Omer.
Dissecting Deep Neural Networks. arXiv.org 2019
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38 Siddiqui, Muhammad Salman; Fonn, Eivind; Kvamsdal, Trond; Rasheed, Adil.
Finite-Volume High-Fidelity Simulation Combined with Finite-Element-Based Reduced-Order Modeling of Incompressible Flow Problems. Energies 2019 ;Volum 12.(7) Suppl. 1271
NTNU SINTEF Untitled
 
39 Siddiqui, Muhammad Salman; Kvamsdal, Trond; Rasheed, Adil.
High Fidelity Computational Fluid Dynamics Assessment of Wind Tunnel Turbine Test. Journal of Physics: Conference Series (JPCS) 2019 ;Volum 1356.(1)
NTNU SINTEF Untitled
 
40 Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond.
Validation of the numerical simulations of flow around a scaled-down turbine using experimental data from wind tunnel. Wind and Structures 2019 ;Volum 29.(6) s. 405-416
NTNU SINTEF Untitled
 
41 Siddiqui, Muhammad Salman; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond.
Numerical investigation of modeling frameworks and geometric approximations on NREL 5 MW wind turbine. Renewable Energy 2019 ;Volum 132. s. 1058-1075
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42 Sterud, Camilla; Robinson, Haakon; Rasheed, Adil; Moe, Signe; San, Omer.
Deep Reinforcement Learning for Path Following and Collision Avoidance. 5th Norwegian Big Data Symposium; 2019-11-13
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43 Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond.
High-Resolution Cfd Modelling and Prediction of Terrain-Induced Wind Shear and Turbulence for Aviation Safety.. I: MekIT’19 - 10th National Conference on Computational Mechanics (Trondheim, Norway, 3-4 June 2019). International Center for Numerical Methods in Engineering (CIMNE) 2019 ISBN 978-84-949194-9-7. s. 323-341
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2018
44 Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash.
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence. Physics of Fluids 2018 ;Volum 30.(12) s. -
SINTEF Untitled
 
45 Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash.
Data-driven deconvolution for the large eddy simulation of Kraichnan turbulence. 71st Annual Meeting of the APS Division of Fluid Dynamics; 2018-11-18 - 2018-11-20
SINTEF Untitled
 
46 Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash.
Physics-based artificial neural network formulations for LES of Kraichnan turbulence. 2nd MAE Graduate Research Symposium, Oklahoma State University, Stillwater; 2018-11-02 - 2018-11-02
SINTEF Untitled
 
47 Maulik, Romit; San, Omer; Rasheed, Adil; Vedula, Prakash.
Subgrid modelling for two-dimensional turbulence using neural networks. Journal of Fluid Mechanics 2018 ;Volum 858. s. 122-144
SINTEF Untitled
 
48 Rahman, Sk. Mashfiqur; Rasheed, Adil; San, Omer.
A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers. 71st Annual Meeting of the APS Division of Fluid Dynamics; 2018-11-18 - 2018-11-20
SINTEF Untitled
 
49 Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil.
A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers. Fluids 2018 ;Volum 3.(3) s. -
SINTEF Untitled
 
50 Rahman, Sk. Mashfiqur; San, Omer; Rasheed, Adil.
A Hybrid Approach for Model Order Reduction of Barotropic Quasi-Geostrophic Turbulence. Fluids 2018 ;Volum 3.(4) s. -
SINTEF Untitled
 
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