Michael Todd

Michael Todd

University of California, San Diego

H-index: 51

North America-United States

About Michael Todd

Michael Todd, With an exceptional h-index of 51 and a recent h-index of 29 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of structural health monitoring, time series, mechanics, nonlinear dynamics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems

Unsupervised deep learning approach for structural anomaly detection using probabilistic features

Uncertainty Quantification of a Machine Learning Model for Identification of Isolated Nonlinearities with Conformal Prediction

Railway Bridges Health Monitoring Supported by Artificial Intelligence

1163 Central Sleep Apnea: A Possible Rare Adverse Effect of Vagus Nerve Stimulation

Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems

Optimal maintenance decision for deteriorating components in miter gates using Markov chain prediction model

Optimal Sensor Placement Considering Operational Sensor Failures for Structural Health Monitoring Applications

Michael Todd Information

University

Position

Professor of Structural Engineering

Citations(all)

8582

Citations(since 2020)

3354

Cited By

7521

hIndex(all)

51

hIndex(since 2020)

29

i10Index(all)

159

i10Index(since 2020)

104

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Michael Todd Skills & Research Interests

structural health monitoring

time series

mechanics

nonlinear dynamics

Top articles of Michael Todd

Title

Journal

Author(s)

Publication Date

Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems

Computer Methods in Applied Mechanics and Engineering

Harsh Sharma

David A Najera-Flores

Michael D Todd

Boris Kramer

2024/4/1

Unsupervised deep learning approach for structural anomaly detection using probabilistic features

Structural Health Monitoring

Hua-Ping Wan

Yi-Kai Zhu

Yaozhi Luo

Michael D Todd

2024/2/29

Uncertainty Quantification of a Machine Learning Model for Identification of Isolated Nonlinearities with Conformal Prediction

Journal of Verification, Validation and Uncertainty Quantification

David Najera-Flores

Justin Jacobs

D Dane Quinn

Anthony Garland

Michael Todd

2024/2/19

Railway Bridges Health Monitoring Supported by Artificial Intelligence

Andreia Meixedo

Diogo Ribeiro

João Santos

Rui Calçada

Michael Todd

2024/1/25

1163 Central Sleep Apnea: A Possible Rare Adverse Effect of Vagus Nerve Stimulation

Michael Todd

Michele Nelson

Samuel Taylor

Maha Alattar

Subhendu Rath

2024/5/1

Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems

arXiv preprint arXiv:2402.00021

Antonios Kamariotis

Eleni Chatzi

Daniel Straub

Nikolaos Dervilis

Kai Goebel

...

2024/1/4

Optimal maintenance decision for deteriorating components in miter gates using Markov chain prediction model

Manuel A Vega

Ramin Madarshahian

Travis B Fillmore

Michael D Todd

2023/6/4

Optimal Sensor Placement Considering Operational Sensor Failures for Structural Health Monitoring Applications

Mayank Chadha

Yichao Yang

Zhen Hu

Michael D Todd

2023/6/5

A novel methodology for quantitative identification of pipeline leakage and negative pressure wave velocity

Structural Health Monitoring

Yang Han

Xin Feng

Michael D Todd

2023/7

A Physics-Constrained Bayesian neural network for battery remaining useful life prediction

Applied Mathematical Modelling

David A Najera-Flores

Zhen Hu

Mayank Chadha

Michael D Todd

2023/10/1

Optimization of unmanned aerial vehicle inspection strategy for infrastructure based on model-enabled diagnostics and prognostics

Mechanical Systems and Signal Processing

Zihan Wu

Jice Zeng

Zhen Hu

Michael D Todd

2023/12/1

A Hybrid Surrogate Modeling Method for Corrosion Morphology Prediction Under Non-Stationary Dynamic Loading

STRUCTURAL HEALTH MONITORING 2023

GUOFENG QIAN

DAVID NAJERA-FLORES

ZHEN HU

MICHAEL D TODD

2023

Laser ultrasonic wave spatial gradient features for damage detection

Materials Research Proceedings

Z Wu

Michael D Todd

2023/4/25

Surrogate modeling of nonlinear dynamic systems: a comparative study

Journal of Computing and Information Science in Engineering

Ying Zhao

Chen Jiang

Manuel A Vega

Michael D Todd

Zhen Hu

2023/2/1

Model-Based Inspection Planning for Large-Scale Structures Using Unmanned Aerial Vehicles

Zihan Wu

Jice Zeng

Zhen Hu

Michael D Todd

2023/6/5

Optimal Fiber-Optic Sensor Placement Framework for Structural Health Monitoring of an Aircraft’s Wing Spar

Adrielly Hokama Razzini

Michael D Todd

Iddo Kressel

Yoav Ofir

Moshe Tur

2023/6/5

A recursive inference method based on invertible neural network for multi-level model updating using video monitoring data

Mechanical Systems and Signal Processing

Jice Zeng

Michael D Todd

Zhen Hu

2023/11/15

Machine learning-enabled calibration of river routing model parameters

Journal of Hydroinformatics

Ying Zhao

Mayank Chadha

Nicholas Olsen

Elissa Yeates

Josh Turner

...

2023/9/1

Automated Crack Detection for Underwater Inspection of Miter Gates with Unmanned Underwater Vehicle

STRUCTURAL HEALTH MONITORING 2023

ZIHAN WU

ZHEN HU

MICHAEL D TODD

JICE ZENG

2023

Automatic wavelet-based clustering approach for damage detection on railway bridges

Transportation Research Procedia

Andreia Meixedo

Diogo Ribeiro

João Santos

Rui Calçada

Michael Todd

2023/1/1

See List of Professors in Michael Todd University(University of California, San Diego)

Co-Authors

H-index: 71
Tajana Simunic Rosing

Tajana Simunic Rosing

University of California, San Diego

H-index: 66
Bruce W Drinkwater

Bruce W Drinkwater

University of Bristol

H-index: 63
Paul D Wilcox

Paul D Wilcox

University of Bristol

H-index: 57
Gyuhae Park

Gyuhae Park

Chonnam National University

H-index: 47
VIRGIN L.N. or VIRGIN L.

VIRGIN L.N. or VIRGIN L.

Duke University

H-index: 32
Zhen Hu

Zhen Hu

University of Michigan-Dearborn

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