Author

Isaac Asher

Institution: Aurora Flight Sciences (United States)

Observed institutions: General Electric (United States), Aurora Flight Sciences (United States), GE Global Research (United States)

OpenAlex ID: A5023826386

Expected-Improvement-Based Methods for Adaptive Sampling in Multi-Objective Optimization Problems

2016 · Jesper Kristensen, You Ling, et al. · ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE) · 20

An intelligent sampling framework for multi-objective optimization in high dimensional design space

2018 · You Ling, Sayan Ghosh, et al. · AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (SDM) · 16

Bayesian Multi-Source Modeling with Legacy Data

2018 · Sayan Ghosh, Isaac Asher, et al. · AIAA Non-Deterministic Approaches Conference · 12

A Gaussian Process Modeling Approach for Fast Robust Design With Uncertain Inputs

2018 · Kevin M. Ryan, Jesper Kristensen, et al. · ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT) · 11

Information gain-based inspection scheduling for fatigued aircraft components

2017 · You Ling, Isaac Asher, et al. · AIAA Non-Deterministic Approaches Conference · 9

Learning Uncertainty using Clustering and Local Gaussian Process Regression

2019 · Yiming Zhang, Sayan Ghosh, et al. · AIAA SciTech Forum · 6

Efficient robust design optimization using Gaussian process and intelligent sampling

2018 · You Ling, Kevin Ryan, et al. · AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (MAO) · 5

Large-scale Multidisciplinary Design Optimization of the NASA Lift-plus-Cruise Concept using a Novel Aircraft Design Framework

2023 · Marius Ruh, Darshan Sarojini, et al. · Vertical Flight Society Unmanned Rotorcraft Systems Specialists Meeting · 3

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Calibrating an equivalent initial flaw size distribution from da/dN and S-N data

2017 · Isaac Asher, Genghis Khan, et al. · AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (SDM) · 3

Polynomial Representation of the Gaussian Process

2018 · Jesper Kristensen, Isaac Asher, et al. · ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE) · 2

Developing a Probabilistic Load Spectrum for Fatigue Modeling

2017 · Isaac Asher, Liping Wang, et al. · AIAA Non-Deterministic Approaches Conference · 2

AIRFRAME DIGITAL TWIN SPIRAL 1. Task Order 0002: Scalable Accurate Flexible Efficient Robust - Prognostic and Probabilistic Individual Aircraft Tracking (SAFER-P2IAT) Full Scale Wing Experiment Plans, Requirements, and Development

2017 · Liping Wang, Isaac Asher, et al. · 1

Building Fully Adaptive Stochastic Models for Multiphase Blowdown Simulations.

2015 · Isaac Asher · Deep Blue (University of Michigan) · 1

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Towards an Autonomous World: Making Sense of the Potential Impacts of Autonomous Vehicles

2014 · Isaac Asher · SMARTech Repository (Georgia Institute of Technology) · 1

AIRFRAME DIGITAL TWIN (ADT) Delivery Order FA8650-17-F-2219: Scalable, Accurate, Flexible, Efficient, Robust, Prognostic and Probabilistic Individual Aircraft Tracking (SAFER-P2IAT) Full-Scale Demonstration Experiment

2019 · Liping Wang, Isaac Asher, et al.

Improving SIR with Constrained Resampling for Dynamic Bayesian Network Applications