S. Ashwin Renganathan

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Dimitri N. MavrisGeorgia Institute of TechnologyGeverifieerd e-mailadres voor aerospace.gatech.edu
Romit MaulikAssistant Professor and ICDS Co-Hire: Pennsylvania State UniversityGeverifieerd e-mailadres voor psu.edu
Vishwas RaoArgonne National LaboratoryGeverifieerd e-mailadres voor mcs.anl.gov
Jai AhujaGeorgia Institute of TechnologyGeverifieerd e-mailadres voor gatech.edu
Giacomo Valerio IungoAssociate Professor, WindFluX Lab, University of Texas at DallasGeverifieerd e-mailadres voor utdallas.edu
Stefano LetiziaNational Renewable Energy LaboratoryGeverifieerd e-mailadres voor utdallas.edu
Tejas G. PuranikBoeingGeverifieerd e-mailadres voor gatech.edu
Olivia J. Pinon Fischer, Ph.D.Principal Research Engineer, Aerospace Systems Design Laboratory, Georgia Institute of TechnologyGeverifieerd e-mailadres voor asdl.gatech.edu
Woong Je SungGeorgia Institute of TechnologyGeverifieerd e-mailadres voor asdl.gatech.edu
Arun RamamurthyResearch Scientist, Siemens CorporationGeverifieerd e-mailadres voor siemens.com
Jeffrey LarsonComputational Mathematician, Argonne National LaboratoryGeverifieerd e-mailadres voor anl.gov
Stefan M. WildBerkeley Lab, Applied Mathematics & Computational Research DivisionGeverifieerd e-mailadres voor lbl.gov
Prof Debi Prasad MishraProfessor, IIT KanpurGeverifieerd e-mailadres voor iitk.ac.in
Ionel Michael NavonProfessor Emeritus of Scientific Computing, Florida State UniversityGeverifieerd e-mailadres voor fsu.edu
Yingjie LiuProfessor of Mathematics, Georgia Institute of TechnologyGeverifieerd e-mailadres voor math.gatech.edu
Robert B. GramacyVirginia TechGeverifieerd e-mailadres voor vt.edu
Daning HuangPennsylvania State UniversityGeverifieerd e-mailadres voor psu.edu
Annie S. BoothAssistant Professor, Department of Statistics, NC StateGeverifieerd e-mailadres voor ncsu.edu
Bethany LuschArgonne National LabGeverifieerd e-mailadres voor anl.gov
Rao KotamarthiArgonne National Laboratory/University of ChicagoGeverifieerd e-mailadres voor anl.gov

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S. Ashwin Renganathan

Andere namenAshwin Renganathan

Assistant Professor, The Pennsylvania State University

Geverifieerd e-mailadres voor gatech.edu - Homepage

Surrogate modeling Optimization Uncertainty Quantification


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil SA Renganathan, R Maulik, V Rao Physics of Fluids 32 (4), 2020	72	2020
Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization SA Renganathan, R Maulik, J Ahuja Aerospace Science and Technology 111, 106522, 2021	60	2021
Aerodynamic data fusion toward the digital twin paradigm SA Renganathan, K Harada, DN Mavris AIAA journal 58 (9), 3902-3918, 2020	35	2020
Data-driven wind turbine wake modeling via probabilistic machine learning S Ashwin Renganathan, R Maulik, S Letizia, GV Iungo Neural Computing and Applications, 1-16, 2022	27	2022
Empirical assessment of deep gaussian process surrogate models for engineering problems D Rajaram, TG Puranik, S Ashwin Renganathan, WJ Sung, OP Fischer, ... Journal of Aircraft 58 (1), 182-196, 2021	26	2021
Deep Gaussian process enabled surrogate models for aerodynamic flows D Rajaram, TG Puranik, A Renganathan, WJ Sung, OJ Pinon-Fischer, ... AIAA Scitech 2020 Forum, 1640, 2020	24	2020
Koopman-based approach to nonintrusive projection-based reduced-order modeling with black-box high-fidelity models SA Renganathan, Y Liu, DN Mavris AIAA journal 56 (10), 4087-4111, 2018	20	2018
Distributed hierarchical control system for a tandem axle drive system RA Nellums, A Surianarayanan, SA Joshi, SC Krishnan, DG Smedley, ... US Patent 9,020,715, 2015	17	2015
Numerical analysis of fuel—air mixing in a two-dimensional trapped vortex combustor DP Mishra, R Sudharshan Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2010	16	2010
Koopman-based approach to nonintrusive reduced order modeling: Application to aerodynamic shape optimization and uncertainty propagation SA Renganathan AIAA journal 58 (5), 2221-2235, 2020	13	2020
Experimental investigation on the effect of microstructure modifiers and heat treatment influence on A356 alloy J Baskaran, P Raghuvaran, S Ashwin Materials Today: Proceedings 37, 3007-3010, 2021	11	2021
Sensitivity analysis of aero-propulsive coupling for over-wing-nacelle concepts A Renganathan, SH Berguin, M Chen, J Ahuja, JC Tai, DN Mavris, D Hills 2018 AIAA Aerospace Sciences Meeting, 1757, 2018	11	2018
CAMERA: A method for cost-aware, adaptive, multifidelity, efficient reliability analysis SA Renganathan, V Rao, IM Navon Journal of Computational Physics 472, 111698, 2023	10	2023
Lookahead acquisition functions for finite-horizon time-dependent bayesian optimization and application to quantum optimal control SA Renganathan, J Larson, SM Wild arXiv preprint arXiv:2105.09824, 2021	9	2021
A Methodology for Non-Intrusive projection-based model reduction of expensive black-box PDE-based systems and application in the many-query context SA Renganathan Georgia Institute of Technology, 2018	9	2018
Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR … GV Iungo, R Maulik, SA Renganathan, S Letizia Journal of Renewable and Sustainable Energy 14 (2), 2022	8	2022
Multifidelity Gaussian processes for failure boundary and probability estimation A Renganathan, V Rao, I Navon AIAA SCITECH 2022 Forum, 0390, 2022	7	2022
Numerical study of flame/vortex interactions in 2-D Trapped Vortex Combustor PD Mishra, R Sudharshan, KKP Ezhil Thermal Science 18 (4), 1373-1387, 2014	7	2014
Sensitivity analysis of the overwing nacelle design space J Ahuja, S Ashwin Renganathan, DN Mavris Journal of Aircraft 59 (6), 1478-1492, 2022	6	2022
Validation and assesment of lower order aerodynamics based design of ram air turbines A Renganathan, RK Denney, A Duquerrois, DN Mavris 12th International Energy Conversion Engineering Conference, 3463, 2014	5	2014

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