Anirban Chaudhuri

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Raphael HaftkaUniversity of FloridaCorreu electrònic verificat a ufl.edu
Karen WillcoxOden Institute for Computational Engineering and Sciences, UT AustinCorreu electrònic verificat a oden.utexas.edu
Tony SchmitzUniversity of Tennessee, KnoxvilleCorreu electrònic verificat a utk.edu
Kelvin ChangUniversity of FloridaCorreu electrònic verificat a ufl.edu
Christopher TylerOak Ridge National LaboratoryCorreu electrònic verificat a ornl.gov
Diane VillanuevaThe MITRE CorporationCorreu electrònic verificat a mitre.org
Joaquim R. R. A. MartinsPauline M. Sherman Collegiate Professor of Aerospace Engineering, University of MichiganCorreu electrònic verificat a umich.edu
Rémi LamDeepMindCorreu electrònic verificat a deepmind.com
Boris KramerUniversity of California San DiegoCorreu electrònic verificat a ucsd.edu
Jyotirmay MathurProfessor of Mechanical Engineering, MNIT JaipurCorreu electrònic verificat a mnit.ac.in
Anish ModiDepartment of Energy Science and Engineering, IIT BombayCorreu electrònic verificat a iitb.ac.in
Vasishta GangulyUniversity of North Carolina at CharlotteCorreu electrònic verificat a uncc.edu
Jaydeep KarandikarOak Ridge National LaboratoryCorreu electrònic verificat a ornl.gov
Max OpgenoordSenior Applied Scientist, AmazonCorreu electrònic verificat a mit.edu
John JasaResearcher at NRELCorreu electrònic verificat a nrel.gov
Felipe A. C. VianaHead of Applied ResearchCorreu electrònic verificat a articul8.ai
Nam Ho Kimuniversity of FloridaCorreu electrònic verificat a ufl.edu
Rodolphe Le RicheCNRS LIMOS (Mines Saint-Etienne, UCA)Correu electrònic verificat a emse.fr
David H. WolpertSanta Fe InstituteCorreu electrònic verificat a santafe.edu
Brendan TraceyDeepMindCorreu electrònic verificat a google.com

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Anirban Chaudhuri

Oden Institute for Computational Engineering and Sciences, UT Austin

Correu electrònic verificat a oden.utexas.edu - Pàgina d'inici

Multifidelity methods Machine learning in engineering Optimization under uncertainty Risk analysis Monte Carlo methods


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Parallel surrogate-assisted global optimization with expensive functions–a survey RT Haftka, D Villanueva, A Chaudhuri Structural and Multidisciplinary Optimization 54, 3-13, 2016	276	2016
Performance analysis of a solar photovoltaic operated domestic refrigerator A Modi, A Chaudhuri, B Vijay, J Mathur Applied Energy 86 (12), 2583-2591, 2009	128	2009
Multifidelity uncertainty propagation via adaptive surrogates in coupled multidisciplinary systems A Chaudhuri, R Lam, K Willcox AIAA journal 56 (1), 235-249, 2018	64*	2018
Efficient global optimization with adaptive target setting A Chaudhuri, RT Haftka AIAA journal 52 (7), 1573-1578, 2014	63*	2014
Experimental flapping wing optimization and uncertainty quantification using limited samples A Chaudhuri, RT Haftka, P Ifju, K Chang, C Tyler, T Schmitz Structural and Multidisciplinary Optimization 51, 957-970, 2015	56	2015
Information reuse for importance sampling in reliability-based design optimization A Chaudhuri, B Kramer, KE Willcox Reliability Engineering & System Safety 201, 106853, 2020	48	2020
mfEGRA: Multifidelity efficient global reliability analysis through active learning for failure boundary location A Chaudhuri, AN Marques, K Willcox Structural and Multidisciplinary Optimization 64 (2), 797-811, 2021	46*	2021
Multifidelity method for locating aeroelastic flutter boundaries AN Marques, MMJ Opgenoord, RR Lam, A Chaudhuri, KE Willcox AIAA Journal 58 (4), 1772-1784, 2020	37	2020
Learning high-dimensional parametric maps via reduced basis adaptive residual networks T O’Leary-Roseberry, X Du, A Chaudhuri, JRRA Martins, K Willcox, ... Computer Methods in Applied Mechanics and Engineering 402, 115730, 2022	34*	2022
Multifidelity optimization under uncertainty for a tailless aircraft A Chaudhuri, J Jasa, JRRA Martins, KE Willcox 2018 AIAA Non-Deterministic Approaches Conference, 1658, 2018	32	2018
NASA uncertainty quantification challenge: an optimization-based methodology and validation A Chaudhuri, G Waycaster, N Price, T Matsumura, RT Haftka Journal of Aerospace Information Systems 12 (1), 10-34, 2015	30	2015
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas A Chaudhuri, G Pash, DA Hormuth, G Lorenzo, M Kapteyn, C Wu, ... Frontiers in Artificial Intelligence 6, 1222612, 2023	25	2023
Certifiable risk-based engineering design optimization A Chaudhuri, B Kramer, M Norton, JO Royset, K Willcox AIAA Journal 60 (2), 551-565, 2022	24	2022
Reusing information for multifidelity active learning in reliability-based design optimization A Chaudhuri, AN Marques, R Lam, KE Willcox AIAA Scitech 2019 Forum, 1222, 2019	20	2019
Separable Monte Carlo combined with importance sampling for variance reduction A Chaudhuri, RT Haftka International Journal of Reliability and Safety 7 (3), 201-215, 2013	16	2013
A Stopping Criterion for Surrogate Based Optimization using EGO A Chaudhuri, RT Haftka 10th World Congress on Structural and Multidisciplinary Optimization, 2013	14	2013
Risk-based design optimization via probability of failure, conditional value-at-risk, and buffered probability of failure A Chaudhuri, M Norton, B Kramer AIAA Scitech 2020 Forum, 2130, 2020	12	2020
Safety of Spur Gear Design under Non-Ideal Conditions with Uncertainty K Stoker, A Chaudhuri, NH Kim Proceedings of the ASME 2010 IDETC/CIE, 1-11, 2010	11	2010
Data-driven model reduction via operator inference for coupled aeroelastic flutter BG Zastrow, A Chaudhuri, KE Willcox, AS Ashley, MC Henson AIAA Scitech 2023 Forum, 0330, 2023	10	2023
Bayesian optimization for inverse calibration of expensive computer models: A case study for Johnson-Cook model in machining J Karandikar, A Chaudhuri, T No, S Smith, T Schmitz Manufacturing Letters 32, 32-38, 2022	8	2022

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