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2020
1 Ahmed, Shady E; San, Omer; Rasheed, Adil; Trian, Iliescu.
A long short term memory forhybrid uplifted reduced order models.. Physica D : Non-linear phenomena 2020 ;Volum 409. s. 1-16
NTNU Untitled
 
2 Eivind, Meyer; 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 Untitled
 
3 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
 
4 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)
NTNU Untitled
 
5 Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil.
An evolve-then-correct reduced order model for hidden fluid dynamics. Mathematics 2020 ;Volum 8.(570)
NTNU Untitled
 
6 Pawar, Suraj; Ahmed, Shady E; San, Omer; Rasheed, Adil.
Data-driven recovery of hiddenp hysics in reduced order modeling of fluid flows. Physics of Fluids 2020
NTNU Untitled
 
7 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
NTNU Untitled
 
8 Rasheed, Adil; San, Omer; Kvamsdal, Trond.
Digital Twin: Values, Challenges and Enablers from a modelling perspective. IEEE Access 2020 ;Volum 8. s. 21980-22012
NTNU SINTEF Untitled
 
9 Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond.
Numerical assessment of RANS turbulence models for the development ofdata driven Reduced Order Models. Ocean Engineering 2020 ;Volum 196.(106799)
NTNU SINTEF Untitled
 
10 Stavelin, Herman; Rasheed, Adil; San, Omer; Hestnes, Arne Johan.
Marine life through You Only Look Once's perspective. arXiv.org 2020
NTNU Untitled
 
11 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)
NTNU Untitled
 
2019
12 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
 
13 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
 
14 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
 
15 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
 
16 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
 
17 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. -
NTNU Untitled
 
18 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
NTNU Untitled
 
19 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. s. -
NTNU Untitled
 
20 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
 
21 Rasheed, Adil.
Stordata-kybernetikk / Big Data Cybernetics. Teka Big Data Seminar; 2019-11-27 - 2019-11-27
NTNU Untitled
 
22 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)
NTNU Untitled
 
23 Robinson, Haakon; Rasheed, Adil; San, Omer.
Dissecting Deep Neural Networks. arXiv.org 2019
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24 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) s. -
NTNU SINTEF Untitled
 
25 Siddiqui, Muhammad Salman; Kvamsdal, Trond; Rasheed, Adil.
High Fidelity Computational Fluid Dynamics Assessment of Wind Tunnel Turbine Test. Journal of Physics: Conference Series 2019 ;Volum 1356.(1)
NTNU SINTEF Untitled
 
26 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
 
27 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
NTNU SINTEF Untitled
 
28 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
NTNU SINTEF Untitled
 
29 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. International Center for Numerical Methods in Engineering (CIMNE) 2019 ISBN 978-84-949194-9-7. s. 323-341
NTNU SINTEF Untitled
 
2018
30 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
 
31 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
 
32 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
 
33 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
 
34 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
 
35 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
 
36 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
 
37 Rasheed, Adil.
Industry performance enhanced by hybrid modelling. SINTEF Petroleum Conference 2018; 2018-03-20 - 2018-03-21
SINTEF Untitled
 
38 Tabib, Mandar; Khan, Malik Muhammad Zaki Murtaza; Lingjærde, Ole Christian; Johannessen, Kjetil Andre; Rasheed, Adil; Fonn, Eivind; Masegosa, Andres; Brodtkorb, André R..
Geilo Winter School in eScience on Artificial Intelligence. Geilo Winter School in eScience; 2018-01-21 - 2018-01-26
NTNU SINTEF UiO Untitled
 
39 Tabib, Mandar; Løvvik, Ole Martin; Johannessen, Kjetil Andre; Rasheed, Adil; Sagvolden, Espen; Rustad, Anne Marthine.
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges. Lecture Notes in Computer Science (LNCS) 2018 ;Volum 11139 LNCS. s. 392-401
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40 Tabib, Mandar; Løvvik, Ole Martin; Johannessen, Kjetil Andre; Rasheed, Adil; Sagvolden, Espen; Rustad, Anne Marthine.
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges.. ICANN 2018 conference; 2018-10-01 - 2018-10-05
SINTEF Untitled
 
41 Tabib, Mandar; Rasheed, Adil.
Hybrid analytics for drone landing and take-off in urban areas.. Drones within the health care sector (http://www.hamarregionen.net/arrangementer/droner-i-helsesektoren/); 2018-06-19 - 2018-06-19
NTNU SINTEF Untitled
 
2017
42 Fonn, Eivind; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond.
A Step Towards a Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal Decomposition. I: ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Volume 1: Offshore Technology. ASME Press 2017 ISBN 978-0-7918-5763-2. s. -
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43 Fonn, Eivind; Rasheed, Adil; Tabib, Mandar; Kvamsdal, Trond.
A Step towards a Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal Decomposition.. OMAE 36th International Conference on Ocean, Offshore & Arctic Engineering; 2017-06-25 - 2017-06-30
NTNU SINTEF Untitled
 
44 Fonn, Eivind; Tabib, Mandar; Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond.
A step towards reduced order modelling of flow characterized by wakes using Proper Orthogonal Decomposition. Energy Procedia 2017 ;Volum 137. s. 452-459
NTNU SINTEF Untitled
 
45 Rasheed, Adil.
Hybrid Analytics: Combining physics based modeling and machine learning algorithms.. Kongsberg Technology Conference; 2017-09-07 - 2017-09-08
SINTEF Untitled
 
46 Rasheed, Adil.
Reflection on how to utilize Machine Learning and Artificial Intelligence in our current workflow. BigLearn Kickoff Meeting; 2017-06-12 - 2017-06-12
SINTEF Untitled
 
47 Rasheed, Adil.
Why we find turbulent flight paths exciting ?. Forskning å være stolt av, SINTEF Ledersamling; 2017-05-22 - 2017-05-23
SINTEF Untitled
 
48 Rasheed, Adil; Süld, Jakob Kristoffer; Tabib, Mandar.
Effect of UNI- and bi-directional coupling of ocean-met interaction on significant wave height and local wind. I: ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Volume 7B: Ocean Engineering. ASME Press 2017 ISBN 978-0-7918-5774-8. s. -
MET SINTEF Untitled
 
49 Rasheed, Adil; Süld, Jakob Kristoffer; Tabib, Mandar.
Effect of Uni- and Bi-Directional Coupling of Ocean-Met Interaction on Significant Wave Height and Local Wind. OMAE - 36th International Conference on Ocean, Offshore & Arctic Engineering; 2017-06-25 - 2017-06-30
MET SINTEF Untitled
 
50 Rasheed, Adil; Süld, Jakob Kristoffer; Tabib, Mandar; Kvamsdal, Trond; Kristiansen, Jørn.
Demonstrating the impact of bidirectional coupling on the performance of an ocean-met model. Energy Procedia 2017 ;Volum 137. s. 443-451
MET NTNU SINTEF Untitled
 
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