2026 Michael D. Todd: Mechanical and Aerospace Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mechanical and Aerospace Engineering	48	1313	1210	526	454	303	7760

Research.com Recognitions

2004 - Hellman Fellow

Overview

Michael D. Todd is affiliated with the University of California, San Diego in the United States and has a research focus within the broad field of Engineering. Their work spans several subfields including Civil and Structural Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering, Mechanics of Materials, and Control and Systems Engineering.

Their research topics cover a range of areas with emphasis on Structural Health Monitoring Techniques, Probabilistic and Robust Engineering Design, Infrastructure Maintenance and Monitoring, Concrete Corrosion and Durability, Non-Destructive Testing Techniques, Ultrasonics and Acoustic Wave Propagation, and Model Reduction and Neural Networks.

Michael D. Todd has published numerous papers in numerous scholarly venues. Frequent publication venues include:

Mechanical Systems and Signal Processing
Structural Health Monitoring
Structural and Multidisciplinary Optimization
Reliability Engineering & System Safety
Journal of Civil Structural Health Monitoring

Some of their recent papers are:

A comprehensive review of digital twin-part 1: modeling and twinning enabling technologies, 2022, Structural and Multidisciplinary Optimization
A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives, 2022, Structural and Multidisciplinary Optimization
Damage detection in railway bridges using traffic-induced dynamic responses, 2021, Engineering Structures
A variational Bayesian neural network for structural health monitoring and cost-informed decision-making in miter gates, 2020, Structural Health Monitoring
Arbitrary polynomial chaos expansion method for uncertainty quantification and global sensitivity analysis in structural dynamics, 2020, Mechanical Systems and Signal Processing

Frequent co-authors include:

Zhen Hu (48 publications)
Mayank Chadha (19 publications)
Manuel A. Vega (16 publications)
Hua-Ping Wan (12 publications)
David Najera-Flores (12 publications)

Michael D. Todd was recognized as a Hellman Fellow in 2004.

Best Publications

Energy Harvesting for Structural Health Monitoring Sensor Networks

Gyuhae Park;Tajana Rosing;Michael D. Todd;Charles R. Farrar

579
Citations
A Bayesian approach to optimal sensor placement for structural health monitoring with application to active sensing

Eric B. Flynn;Michael D. Todd

303
Citations
Development of an impedance-based wireless sensor node for structural health monitoring

David L Mascarenas;Michael D Todd;Gyuhae Park;Charles R Farrar

264
Citations
A review of nonlinear dynamics applications to structural health monitoring

Keith Worden;Charles R. Farrar;Jonathan Haywood;Michael Todd

257
Citations
Experimental studies of using wireless energy transmission for powering embedded sensor nodes

David L. Mascarenas;Eric B. Flynn;Michael D. Todd;Timothy G. Overly

203
Citations
Maximum-likelihood estimation of damage location in guided-wave structural health monitoring

Eric B. Flynn;Michael D. Todd;Paul D. Wilcox;Bruce W. Drinkwater

184
Citations
Nonlinear System Identification for Damage Detection

Charles R. Farrar;Keith Worden;Michael D. Todd;Gyuhae Park

172
Citations
Vibration-based damage assessment utilizing state space geometry changes: local attractor variance ratio

M D Todd;J M Nichols;L M Pecora;L N Virgin

170
Citations
Sensing Network Paradigms for Structural Health Monitoring

C. R. Farrar;G. Park;M. D. Todd

142
Citations
Use of chaotic excitation and attractor property analysis in structural health monitoring

J. M. Nichols;M. D. Todd;M. Seaver;L. N. Virgin

139
Citations
Isogeometric Fatigue Damage Prediction in Large-Scale Composite Structures Driven by Dynamic Sensor Data

Y. Bazilevs;X. Deng;A. Korobenko;F. Lanza di Scalea

132
Citations
A mobile-agent-based wireless sensing network for structural monitoring applications

Stuart G Taylor;Kevin M Farinholt;Eric B Flynn;Eloi Figueiredo

120
Citations
A Mobile Host Approach for Wireless Powering and Interrogation of Structural Health Monitoring Sensor Networks

D. Mascarenas;E. Flynn;C. Farrar;G. Park

120
Citations
Bragg grating-based fibre optic sensors in structural health monitoring.

Michael D Todd;Jonathan M Nichols;Stephen T Trickey;Mark Seaver

116
Citations
Optimal Placement of Piezoelectric Actuators and Sensors for Detecting Damage in Plate Structures

Eric B. Flynn;Michael D. Todd

110
Citations
Using state space predictive modeling with chaotic interrogation in detecting joint preload loss in a frame structure experiment

J M Nichols;M D Todd;J R Wait

109
Citations
Damage detection in railway bridges using traffic-induced dynamic responses

Andreia Meixedo;João Santos;Diogo Ribeiro;Rui Calçada

101
Citations
Structural Health Monitoring Through Chaotic Interrogation

J. M. Nichols;S. T. Trickey;M. D. Todd;L. N. Virgin

99
Citations
Deployment of a fiber Bragg grating-based measurement system in a structural health monitoring application

M D Todd;G A Johnson;S T Vohra

96
Citations
A multivariate, attractor-based approach to structural health monitoring

L. Moniz;J.M. Nichols;C.J. Nichols;M. Seaver

88
Citations
A mobile-agent based wireless sensing network for structural monitoring applications

Stuart G Taylor;Kevin M Farinholt;Eloi Figueiredo;Gyuhae Park

0
Citations

Frequent Co-Authors

Gyuhae Park Chonnam National University

Charles R. Farrar Los Alamos National Laboratory

Matthew Barth University of California, Riverside

Lawrence N. Virgin Duke University

Paul D. Wilcox University of Bristol

Bruce W. Drinkwater University of Bristol

Keith Worden University of Sheffield

Tajana Rosing University of California, San Diego

Susan Shaheen University of California, Berkeley

Rajesh Gupta University of California, San Diego

External Links

Personal website of Michael D. Todd

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