| A probabilistic optimal sensor design approach for structural health monitoring using risk-weighted f-divergence Y Yang, M Chadha, Z Hu, MA Vega, MD Parno, MD Todd Mechanical Systems and Signal Processing 161, 107920, 2021 | 18 | 2021 |
| An optimal sensor placement design framework for structural health monitoring using Bayes risk Y Yang, M Chadha, Z Hu, MD Todd Mechanical Systems and Signal Processing 168, 108618, 2022 | 17 | 2022 |
| A generalized approach for reconstructing the three-dimensional shape of slender structures including the effects of curvature, shear, torsion, and elongation M Chadha, MD Todd Journal of Applied Mechanics 84 (4), 041003, 2017 | 17 | 2017 |
| A comprehensive kinematic model of single-manifold cosserat beam structures with application to a finite strain measurement model for strain gauges M Chadha, MD Todd International Journal of Solids and Structures 159, 58-76, 2019 | 13 | 2019 |
| An alternative quantification of the value of information in structural health monitoring M Chadha, Z Hu, MD Todd Structural Health Monitoring 21 (1), 138-164, 2022 | 12 | 2022 |
| An introductory treatise on reduced balance laws of Cosserat beams M Chadha, MD Todd International Journal of Solids and Structures 126, 54-73, 2017 | 11 | 2017 |
| The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions M Chadha, MK Ramancha, MA Vega, JP Conte, MD Todd Reliability Engineering & System Safety 229, 108845, 2023 | 9 | 2023 |
| Diagnosis, prognosis, and maintenance decision making for civil infrastructure: Bayesian data analytics and machine learning MA Vega, Z Hu, Y Yang, M Chadha, MD Todd Structural health monitoring based on data science techniques, 45-73, 2022 | 6 | 2022 |
| An improved shape reconstruction methodology for long rod like structures using cosserat kinematics-including the poisson’s effect M Chadha, MD Todd Nonlinear Dynamics, Volume 1: Proceedings of the 36th IMAC, A Conference and …, 2019 | 6 | 2019 |
| The mathematical theory of a higher-order geometrically-exact beam with a deforming cross-section M Chadha, MD Todd International Journal of Solids and Structures 202, 854-880, 2020 | 5 | 2020 |
| On the material and material-adapted approaches to curve framing with applications in path estimation, shape reconstruction, and computer graphics M Chadha, MD Todd Computers & Structures 218, 60-81, 2019 | 5 | 2019 |
| A displacement reconstruction strategy for long, slender structures from limited strain measurements and its application to underground pipeline monitoring M Chadha, M Todd International Conference on Experimental Vibration Analysis for Civil …, 2017 | 5 | 2017 |
| On the derivatives of curvature of framed space curve and their time-updating scheme M Chadha, MD Todd Applied Mathematics Letters 99, 105989, 2020 | 4 | 2020 |
| On the derivatives of curvature of framed space curve and their time-updating scheme: Extended version with matlab code M Chadha, MD Todd arXiv preprint arXiv:1907.11271, 2019 | 1 | 2019 |
| Theoretical development of framed space curve and its applications to higher-order geometrically-exact rod theory, shape sensing, path estimation, and computer graphics M Chadha University of California, San Diego, 2019 | 1 | 2019 |
| An optimal sensor design framework accounting for sensor reliability over the structural life cycle Y Yang, M Chadha, Z Hu, MD Todd Mechanical Systems and Signal Processing 202, 110673, 2023 | | 2023 |
| Machine learning-enabled calibration of river routing model parameters Y Zhao, M Chadha, N Olsen, E Yeates, J Turner, G Gugaratshan, G Qian, ... Journal of Hydroinformatics 25 (5), 1799-1821, 2023 | | 2023 |
| Optimal Sensor Placement Considering Operational Sensor Failures for Structural Health Monitoring Applications M Chadha, Y Yang, Z Hu, MD Todd Society for Experimental Mechanics Annual Conference and Exposition, 89-92, 2023 | | 2023 |
| A Physics-Constrained Bayesian Neural Network for Battery Remaining Useful Life Prediction DA Najera-Flores, Z Hu, M Chadha, MD Todd Applied Mathematical Modelling, 2023 | | 2023 |
| An Optimal Sensor Network Design Framework for Structural Health Monitoring Using Value of Information M Chadha, Z Hu, CR Farrar, MD Todd Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2022 | | 2022 |
Michael ToddProfessor of Structural Engineering, University of California San DiegoVerified email at ucsd.edu
