Michael D. Todd 
- : A value-of-information-based optimal sensor placement design framework for cost-effective structural health monitoring (with application to miter gate monitoring). In: Structural Health Monitoring.
- : Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference. In: Structural Health Monitoring.
- : A Bayesian detector-based approach for determining arrival and departure times of negative pressure waves in pipeline leakage localization. In: Structural Health Monitoring.
- : Pitting corrosion diagnostics and prognostics for miter gates using multiscale simulation and image inspection data. In: Structural Health Monitoring.
- : Unsupervised deep learning approach for structural anomaly detection using probabilistic features. In: Structural Health Monitoring.
- (2023): Improved Vision-Based Method for Detection of Unauthorized Intrusion by Construction Sites Workers. In: Journal of Construction Engineering and Management, v. 149, n. 7 (July 2023).
- (2022): Probabilistic damage detection using a new likelihood-free Bayesian inference method. In: Journal of Civil Structural Health Monitoring, v. 13, n. 2-3 (August 2022).
- (2022): Bayesian model updating with finite element vs surrogate models: Application to a miter gate structural system. In: Engineering Structures, v. 272 (December 2022).
- (2022): A novel methodology for quantitative identification of pipeline leakage and negative pressure wave velocity. In: Structural Health Monitoring, v. 22, n. 4 (December 2022).
- (2010): Multi-scale wireless sensor node for health monitoring of civil infrastructure and mechanical systems. In: Smart Structures and Systems, v. 6, n. 5-6 (July 2010).
- (2021): An alternative quantification of the value of information in structural health monitoring. In: Structural Health Monitoring, v. 21, n. 1 (December 2021).
- (2008): Energy Harvesting for Structural Health Monitoring Sensor Networks. In: Journal of Infrastructure Systems, v. 14, n. 1 (March 2008).
- (2021): Laser ultrasonic imaging of wavefield spatial gradients for damage detection. In: Structural Health Monitoring, v. 20, n. 3 (January 2021).
- (2010): Changes in Signal Dimension of Chaotic Ultrasonic Waves During Data Acquisition and Generation. In: Structural Health Monitoring, v. 9, n. 5 (February 2010).
- (2011): Enhanced detection through low-order stochastic modeling for guided-wave structural health monitoring. In: Structural Health Monitoring, v. 11, n. 2 (July 2011).
- (2012): Statistically-based damage detection in geometrically-complex structures using ultrasonic interrogation. In: Structural Health Monitoring, v. 12, n. 2 (December 2012).
- (2013): Fatigue crack detection performance comparison in a composite wind turbine rotor blade. In: Structural Health Monitoring, v. 12, n. 3 (March 2013).
- (2013): Multi-wave-mode, multi-frequency detectors for guided wave interrogation of plate structures. In: Structural Health Monitoring, v. 13, n. 2 (December 2013).
- (2016): Active-sensing platform for structural health monitoring: Development and deployment. In: Structural Health Monitoring, v. 15, n. 4 (July 2016).
- (2016): On the application of discrete-time Volterra series for the damage detection problem in initially nonlinear systems. In: Structural Health Monitoring, v. 16, n. 1 (August 2016).
- (2016): A Bayesian recursive framework for ball-bearing damage classification in rotating machinery. In: Structural Health Monitoring, v. 15, n. 6 (August 2016).
- (2016): A nondestructive method for the pretension detection in membrane structures based on nonlinear vibration response to impact. In: Structural Health Monitoring, v. 17, n. 1 (December 2016).
- (2019): On the detection of a nonlinear damage in an uncertain nonlinear beam using stochastic Volterra series. In: Structural Health Monitoring, v. 19, n. 4 (September 2019).
- (2017): Statistical Framework for Sensitivity Analysis of Structural Dynamic Characteristics. In: Journal of Engineering Mechanics (ASCE), v. 143, n. 9 (September 2017).
- (2019): On the material and material-adapted approaches to curve framing with applications in path estimation, shape reconstruction, and computer graphics. In: Computers & Structures, v. 218 (July 2019).
- (2014): Analytical uncertainty quantification for modal frequencies with structural parameter uncertainty using a Gaussian process metamodel. In: Engineering Structures, v. 75 (September 2014).
- (2007): Development of an impedance-based wireless sensor node for structural health monitoring. In: Smart Materials and Structures, v. 16, n. 6 (December 2007).
- (2013): Diagnostics for piezoelectric transducers under cyclic loads deployed for structural health monitoring applications. In: Smart Materials and Structures, v. 22, n. 2 (February 2013).
- (2014): Structural health monitoring feature design by genetic programming. In: Smart Materials and Structures, v. 23, n. 9 (September 2014).
- (2016): Structural impact detection with vibro-haptic interfaces. In: Smart Materials and Structures, v. 25, n. 7 (July 2016).
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