SelectedWorks - Xiaosong Du

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Selected Works of Xiaosong Du

Assistant Professor, Mechanical and Aerospace Engineering

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About Xiaosong Du

Present	Assistant Professor, Missouri University of Science and Technology ‐ Mechanical and Aerospace Engineering
Institution Organization Position Type Position Title Time Period to Options Current Position Affiliate my profile with this Institution

Mechanical Engineering

Machine learning and Artificial Intelligence, Aircraft Design Optimization, and Unmanned Aerial Vehicles

Guest Editor of the Special Issue for Processes Journal 2023
Guest Editor of the Special Issue for Mathematics Journal 2022
Editorial Board for Journal of Innovation Sciences and Sustainable Technologies 2022
Research Investigator at Intelligent Systems Center 2022
Research Investigator at Center f or Biomedical Research 2022
NASA Missouri Space Grant Consortium’s Graduate Research Fellowship 2022
Faculty Evaluator of MAE Department Undergraduate Research Fellowship 2022
Representative of Diversity, Equity, and Inclusion of UMich Aerospace 2021
Best Paper Award for ASME J ournal of Nondestructive Evaluation 2019
Iowa State University Research Excellence Award 2019
Technical Advisor of Boeing supported M:2:I Mul ti Mission Innovative Drone 2019
Volunteer of State Science and Technology Fair of Iowa 2019
Robert Bruce Thompson Fellowship of Iowa State University 2017 Volunteer of
Volunteer of the BUAA 60 th Anniversary 2012

2019	Ph.D., Iowa State University
Institution Organization Student Type Student Title Degree Time Period to Options Currently enrolled Affiliate my profile with this Institution

Optimal Tilt-Wing EVTOL Takeoff Trajectory Prediction Using Regression Generative Adversarial ...

Mathematics (2024)

Shuan Tai Yeh and Xiaosong Du

Electric vertical takeoff and landing (eVTOL) aircraft have attracted tremendous attention nowadays due to their flexible maneuverability, precise control, cost ...

Learning High-Dimensional Parametric Maps Via Reduced Basis Adaptive Residual Networks

Computer Methods in Applied Mechanics and Engineering (2022)

Thomas O'Leary-Roseberry, Xiaosong Du, Anirban Chaudhuri, Joaquim R.R.A. Martins, et al.

We propose a scalable framework for the learning of high-dimensional parametric maps via adaptively constructed residual network (ResNet) maps between ...

Machine Learning in Aerodynamic Shape Optimization

Progress in Aerospace Sciences (2022)

Jichao Li, Xiaosong Du and Joaquim R.R.A. Martins

Machine learning (ML) has been increasingly used to aid aerodynamic shape optimization (ASO), thanks to the availability of aerodynamic data ...

Rapid Airfoil Design Optimization Via Neural Networks-Based Parameterization and Surrogate ...

Aerospace Science and Technology (2021)

Xiaosong Du, Ping He and Joaquim R.R.A. Martins

Aerodynamic optimization based on computational fluid dynamics (CFD) is a powerful design approach because it significantly reduces the design time ...

A Convolutional Neural Network Model based on Multiscale Structural Similarity ...

AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2021 (2021)

Yifu An, Xiaosong Du and Joaquim R.R.A. Martins

We have seen the emerging applications of deep neural networks for flow field predictions in the past few years. Most ...

Novel Adaptive Sampling Algorithm for POD-Based Non-Intrusive Reduced Order Model

AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2021 (2021)

Jiachen Wang, Xiaosong Du and Joaquim R.R.A. Martins

The proper orthogonal decomposition (POD) based reduced-order model (ROM) has been an effective tool for flow field prediction in the ...

Efficient Yield Estimation of Multiband Patch Antennas by Polynomial Chaos-Based ...

International Journal of Numerical Modelling: Electronic Networks, Devices and Fields (2020)

Leifur Leifsson, Xiaosong Du and Slawomir Koziel

Yield estimation of antenna systems is important to check their robustness with respect to the uncertain sources. Since direct Monte ...

Multifidelity Modeling by Polynomial Chaos-Based Cokriging to Enable Efficient Model-Based ...

Journal of Nondestructive Evaluation (2020)

Xiaosong Du and Leifur Leifsson

This work proposes a novel multifidelity metamodeling approach, the polynomial chaos-based Cokriging (PC-Cokriging). The proposed approach is used for fast ...

Efficient Uncertainty Propagation for MAPOD Via Polynomial Chaos-Based Kriging

Engineering Computations (Swansea, Wales) (2020)

Xiaosong Du and Leifur Leifsson

Purpose: Model-assisted probability of detection (MAPOD) is an important approach used as part of assessing the reliability of nondestructive testing ...

A B-Spline-Based Generative Adversarial Network Model for Fast Interactive Airfoil ...

AIAA Scitech 2020 Forum (2020)

Xiaosong Du, Ping He and Joaquim R.R.A. Martins

Airfoil aerodynamic optimization is of great importance in aircraft design; however, it relies on high-fidelity physics-based models that are computationally ...

Applications of Polynomial Chaos-Based Cokriging to Aerodynamic Design Optimization Benchmark ...

AIAA Scitech 2020 Forum (2020)

Jethro Nagawkar, Leifur Leifsson and Xiaosong Du

In this work, the polynomial chaos-based Cokriging (PC-Cokriging) is applied to a benchmark aerodynamic design optimization problem. The aim is ...

Multifidelity Model-Assisted Probability of Detection Via Cokriging

NDT and E International (2019)

Xiaosong Du and Leifur Leifsson

This work introduces multifidelity metamodeling for reliability analysis of nondestructive testing (NDT) systems. Specifically, the Cokriging metamodel is utilized to ...

Optimum Aerodynamic Shape Design under Uncertainty by Utility Theory and ...

Aerospace Science and Technology (2019)

Xiaosong Du and Leifur Leifsson

In this work, utility theory is introduced to optimum aerodynamic shape design under uncertainty (also called robust aerodynamic design). Specifically, ...

Efficient Model-Assisted Probability of Detection and Sensitivity Analysis for Ultrasonic ...

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems (2019)

Xiaosong Du, Leifur Leifsson, William Meeker, Praveen Gurrala, et al.

Model-assisted probability of detection (MAPOD) and sensitivity analysis (SA) are important for quantifying the inspection capability of nondestructive testing (NDT) ...

Fast Yield Estimation of Multi-Band Patch Antennas by PC-Kriging

2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2019 (2019)

Xiaosong Du, Leifur Leifsson and Slawomir Koziel

The PC-Kriging metamodeling method is proposed for yield estimation of multi-band patch antennas. PC-Kriging is a combination of polynomial chaos ...

Aerodynamic Inverse Design using Multifidelity Models and Manifold Mapping

Aerospace Science and Technology (2019)

Xiaosong Du, Jie Ren and Leifur Leifsson

Aerodynamic inverse design is proposed using multifidelity models and the manifold mapping (MM) technique. Aerodynamic inverse design aims at achieving ...

Model-Assisted Validation of a Strain-Based Dense Sensor Network

Proceedings of SPIE - The International Society for Optical Engineering (2019)

Jin Yan, Xiaosong Du, Simon Laflamme, Leifur Leifsson, et al.

Recent advances in sensing are empowering the deployment of inexpensive dense sensor networks (DSNs) to conduct structural health monitoring (SHM) ...

Rapid Multi-Band Patch Antenna Yield Estimation using Polynomial Chaos-Kriging

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019)

Xiaosong Du, Leifur Leifsson and Slawomir Koziel

Yield estimation of antenna systems is important to check their robustness with respect to the uncertain sources. Since the Monte ...

Fast Uncertainty Propagation of Ultrasonic Testing Simulations for MAPOD and ...

2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018 (2018)

Xiaosong Du, Leifur Leifsson, Praveen Gurrala, Jiming Song, et al.

Model-assisted probability of detection (MAPOD) and sensitivity analysis (SA) are widelyused for measuring the reliability of nondestructive testing (NDT) systems., ...

Multifidelity Modeling of Ultrasonic Testing Simulations with Cokriging

2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2018 (2018)

Leifur Leifsson, Xiaosong Du and Slawomir Koziel

Multifidelity methods are introduced to the nondestructive evaluation (NDE) of measurement systems. In particular, Cokriging interpolation metamodels of physics-based ultrasonic ...

Model-Assisted Probability of Detection of Flaws in Aluminum Blocks using ...

AIP Conference Proceedings (2018)

Xiaosong Du, Leifur Leifsson, Robert Grandin, William Meeker, et al.

Probability of detection (POD) is widely used for measuring reliability of nondestructive testing (NDT) systems. Typically, POD is determined experimentally, ...

Efficient Inverse Design of Transonic Airfoils using Variable-Resolution Models and ...

AIAA Aerospace Sciences Meeting, 2018 (2018)

Xiaosong Du, Leifur Leifsson and Slawomir Koziel

This paper presents an efficient approach for simulation-based inverse design of airfoil shapes using variable-fidelity computational fluid dynamics models and ...

Explicit Size-Reduction-Oriented Design of a Compact Microstrip Rat-Race Coupler using ...

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018)

Slawomir Koziel, Adrian Bekasiewicz, Leifur Leifsson, Xiaosong Du, et al.

In this paper, an explicit size reduction of a compact rat-race coupler implemented in a microstrip technology is considered. The ...

Model-Assisted Probability of Detection for Structural Health Monitoring of Flat ...

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018)

Xiaosong Du, Jin Yan, Simon Laflamme, Leifur Leifsson, et al.

The paper presents a computational framework for assessing quantitatively the detection capability of structural health monitoring (SHM) systems for flat ...

Stochastic-Expansions-Based Model-Assisted Probability of Detection Analysis of the Spherically-Void-Defect Benchmark ...

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018)

Xiaosong Du, Praveen Gurrala, Leifur Leifsson, Jiming Song, et al.

Probability of detection (POD) is used for reliability analysis in nondestructive testing (NDT) area. Traditionally, it is determined by experimental ...