Automated Feature Design for Numeric Sequence Classification by Genetic Programming. - Dustin Y. Harvey; Michael D. Todd (IEEE Trans. Evol. Comput., 2015)

Noncontact Strain Monitoring of Osseointegrated Prostheses. - Sumit Gupta; Han-Joo Lee; Kenneth J. Loh; Michael D. Todd; Joseph Reed; A. Drew Barnett (Sensors, 2018)

On the derivatives of curvature of framed space curve and their time-updating scheme: Extended version with MATLAB code. - Mayank Chadha; Michael D. Todd (CoRR, 2019)

On the derivatives of curvature of framed space curve and their time-updating scheme. - Mayank Chadha; Michael D. Todd (Appl. Math. Lett., 2020)

Optimal maintenance decisions for deteriorating quoin blocks in miter gates subject to uncertainty in the condition rating protocol. - Manuel A. Vega; Zhen Hu; Michael D. Todd (Reliab. Eng. Syst. Saf., 2020)

Poisson bracket formulation of a higher-order, geometrically-exact beam. - Mayank Chadha; Michael D. Todd (Appl. Math. Lett., 2021)

A Novel Framework for Integration of Abstracted Inspection Data and Structural Health Monitoring for Damage Prognosis of Miter Gates. - Manuel A. Vega; Zhen Hu; Travis B. Fillmore; Matthew D. Smith 001; Michael D. Todd (Reliab. Eng. Syst. Saf., 2021)

A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives. - Adam Thelen; Xiaoge Zhang 001; Olga Fink; Yan Lu; Sayan Ghosh; Byeng D. Youn; Michael D. Todd; Sankaran Mahadevan; Chao Hu; Zhen Hu (CoRR, 2022)

A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies. - Adam Thelen; Xiaoge Zhang 001; Olga Fink; Yan Lu; Sayan Ghosh; Byeng D. Youn; Michael D. Todd; Sankaran Mahadevan; Chao Hu; Zhen Hu (CoRR, 2022)

Model correction and updating of a stochastic degradation model for failure prognostics of miter gates. - Chen Jiang; Manuel A. Vega; Michael D. Todd; Zhen Hu (Reliab. Eng. Syst. Saf., 2022)

Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study. - Ying Zhao; Chen Jiang; Manuel A. Vega; Michael D. Todd; Zhen Hu (J. Comput. Inf. Sci. Eng., 2023)

The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions. - Mayank Chadha; Mukesh K. Ramancha; Manuel A. Vega; Joel P. Conte; Michael D. Todd (Reliab. Eng. Syst. Saf., 2023)

Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems. - Harsh Sharma; David A. Najera-Flores; Michael D. Todd; Boris Kramer (CoRR, 2024)

Damage detection in an uncertain nonlinear beam based on stochastic Volterra series: an experimental application. - Luis Gustavo Gioacon Villani; Samuel da Silva; Americo Cunha Jr.; Michael D. Todd (CoRR, 2024)

An efficient 2D-3D fusion method for bridge damage detection under complex backgrounds with imbalanced training data. - Wen-Jie Zhang; Hua-Ping Wan; Michael D. Todd (Adv. Eng. Informatics, 2025)

An Efficient Three-Dimensional Point Cloud Segmentation Method for the Dimensional Quality Assessment of Precast Concrete Components Utilizing Multiview Information Fusion. - Hua-Ping Wan; Wen-Jie Zhang; Yi Chen; Yaozhi Luo; Michael D. Todd (J. Comput. Civ. Eng., 2025)