Seyede Fatemeh Ghoreishi

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Douglas AllaireAssociate Professor, Texas A&M UniversityVerified email at tamu.edu
Raymundo ArroyaveProfessor of Materials Science and Engineering, Mechanical Engineering. Texas A&MVerified email at tamu.edu
Ulisses Braga-NetoProfessor of Electrical and Computer Engineering, Texas A&M UniversityVerified email at ece.tamu.edu
Ankit SrivastavaTexas A&M University, College Station, TXVerified email at tamu.edu
Abhilash MolkeriIntel Corporation, Texas A&M University, IIT BombayVerified email at intel.com
Pejman HonarmandiCorning IncorporatedVerified email at corning.com
Mark FugeUniversity of Maryland, College ParkVerified email at umd.edu
Ryan D. SocholUniversity of Maryland, College ParkVerified email at umd.edu
Axel KriegerAssistant Professor, Johns Hopkins UniversityVerified email at jhu.edu
Dheeraj GandhiProfessor of Radiology, Neurology and NeurosurgeryVerified email at umm.edu
Edward DoughertyProfessor of Electrical and Computer Engineering, Texas A&M UniversityVerified email at ece.tamu.edu
Xiaoning QianTexas A&M UniversityVerified email at ece.tamu.edu
Dimitris LagoudasProfessor of Aerospace Engineering, Texas A&M UniversityVerified email at tamu.edu
Shahin BolukiVerified email at tamu.edu
Anjana TalapatraLos Alamos National Laboratory, Los Alamos, New MexicoVerified email at lanl.gov
Guang ZhaoTexas A&M UniversityVerified email at tamu.edu
Alexandros solomouPost Doctoral Research Associate at Texas A&M University, College Station, TexasVerified email at tamu.edu
William Dillon ThomisonGraduate Student, Texas A&M UniversityVerified email at tamu.edu
Daniel P. AldrichProfessor of Political Science and Public Policy, Northeastern UniversityVerified email at northeastern.edu
Joel ChanUniversity of MarylandVerified email at umd.edu

Seyede Fatemeh Ghoreishi

Assistant Professor at Northeastern University

Verified email at northeastern.edu - Homepage

Machine Learning Bayesian Statistics Design under Uncertainty Stochastic Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments M Imani, SF Ghoreishi, U Braga-Neto Advances in Neural Information Processing Systems (NIPS), 2018	78	2018
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models M Imani, SF Ghoreishi, D Allaire, U Braga-Neto Association for the Advancement of Artificial Intelligence (AAAI), 2019	76	2019
Multi-Information Source Constrained Bayesian Optimization SF Ghoreishi, D Allaire Structural and Multidisciplinary Optimization, 2019	65	2019
Scalable Inverse Reinforcement Learning Through Multi-Fidelity Bayesian Optimization M Imani, SF Ghoreishi IEEE Transactions on Neural Networks and Learning Systems, 2022	61	2022
Bayesian uncertainty quantification and information fusion in CALPHAD-based thermodynamic modeling P Honarmandi, TC Duong, SF Ghoreishi, D Allaire, R Arroyave Acta Materialia 164, 636-647, 2019	58	2019
Bayesian Uncertainty Quantification and Information Fusion in CALPHAD-based Thermodynamic Modeling P Honarmandi, TC Duong, SF Ghoreishi, D Allaire, R Arroyave arXiv preprint arXiv:1806.05769, 2018	58	2018
Bayesian Optimization Objective-Based Experimental Design M Imani, SF Ghoreishi American Control Conference (ACC), 2020	57	2020
Adaptive uncertainty propagation for coupled multidisciplinary systems SF Ghoreishi, DL Allaire AIAA journal 55 (11), 3940-3950, 2017	48	2017
Multi-information source fusion and optimization to realize ICME: Application to dual-phase materials SF Ghoreishi, A Molkeri, A Srivastava, R Arroyave, D Allaire Journal of Mechanical Design 140 (11), 111409, 2018	43	2018
A fusion-based multi-information source optimization approach using knowledge gradient policies SF Ghoreishi, DL Allaire 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018	35	2018
Adaptive Dimensionality Reduction for Fast Sequential Optimization with Gaussian Processes SF Ghoreishi, S Friedman, D Allaire Journal of Mechanical Design, 2019	31	2019
Efficient use of multiple information sources in material design SF Ghoreishi, A Molkeri, R Arroyave, D Allaire, A Srivastava Acta Materialia, 2019	27	2019
Experiment design frameworks for accelerated discovery of targeted materials across scales A Talapatra, S Boluki, P Honarmandi, A Solomou, G Zhao, SF Ghoreishi, ... Frontiers in Materials 6, 82, 2019	27	2019
Quantifying the impact of different model discrepancy formulations in coupled multidisciplinary systems S Friedman, SF Ghoreishi, DL Allaire 19th AIAA non-deterministic approaches conference, 1950, 2017	27	2017
Compositional uncertainty analysis via importance weighted gibbs sampling for coupled multidisciplinary systems SF Ghoreishi, DL Allaire 18th AIAA non-deterministic approaches conference, 1443, 2016	26	2016
Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems SF Ghoreishi, M Imani American Control Conference (ACC), 2020	24	2020
Two-Stage Bayesian Optimization for Scalable Inference in State Space Models M Imani, SF Ghoreishi IEEE Transactions on Neural Networks and Learning Systems, 2021	23	2021
Graph-based bayesian optimization for large-scale objective-based experimental design M Imani, SF Ghoreishi IEEE Transactions on Neural Networks and Learning Systems, 2021	22	2021
Gaussian Process Regression for Bayesian Fusion of Multi-Fidelity Information Sources SF Ghoreishi, D Allaire 19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2018	17	2018
Uncertainty analysis for coupled multidisciplinary systems using sequential importance resampling SF Ghoreishi	16	2016

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