Professor John Brigham, BE MS PhD
(email at email@example.com)
John Brigham received a BE in civil engineering and mathematics from Vanderbilt University in 2003, and a MS and PhD in civil and environmental engineering from Cornell University in 2006 and 2008, respectively. Following his PhD he joined the University of Pittsburgh as an Assistant Professor, and was later promoted to Associate Professor in the Department of Civil and Environmental Engineering, with a secondary appointment in the Department of Bioengineering. John joined the School of Engineering and Computing Sciences at Durham University as an Associate Professor in Applied Mechanics in 2016 and was promoted to a Chair in the Department in 2019.
John’s research is focused on fundamental concepts in mechanics and computation, which span a broad range of applications, from assessing service life of civil, marine, or aircraft structures to diagnosing physiological changes in biological structures. His particular interests include developing accurate and efficient computational methods for the representation of multiphysics and multiscale systems, solution strategies for inverse problems associated with non-destructive and non-invasive testing, and numerical modelling of biological systems.
Focusing on computational mechanics and inverse problems, John’s research group, the Computational Diagnostics and Inverse Mechanics Group, is actively involved in a number of diverse projects, including kinematic analysis of the heart for improved diagnosis of cardiovascular disease, novel design concepts and optimal design strategies for smart material morphing structures, and efficient and accurate quantitative nondestructive evaluation algorithms.
- Computational Mechanics
- Inverse Problems
- Multi-physics Modelling
- Non-destructive Evaluation
- PDE-Constrained Optimisation
- Reduced-Order Modelling
- Shape Analysis
Chapter in book
- Wu, Jia & Brigham, John C (2013). Computational Techniques for Analysis of Shape and Kinematics of Biological Structures. In Image-Based Geometric Modeling and Mesh Generation. Zhang, Yongjie Springer Netherlands. 251-269.
- Aquino, Wilkins & Brigham, John C (2008). Computational Inverse Problem Techniques in Vibroacoustics. In Biomedical Applications of Vibration and Acoustics in Imaging and Characterizations. Fatemi, Mostafa & Al-Jumaily, Ahmed ASME Press.
- Xu, Jing, Simon, Marc A, Wong, Timothy C & Brigham, John C (2019), A Clinically Applicable Strategy for Estimation of In Vivo Ventricular Wall Elasticity, Proceedings of the 6th International Conference on Computational and Mathematical Biomedical Engineering – CMBE2019 6th International Conference on Computational and Mathematical Biomedical Engineering. Sendai City, Japan.
- Desmond, Eleanor L, Xu, Jing, Wong, Timothy C, Simon, Marc S, Giani, Stefano & Brigham, John C (2019), Classification of Pulmonary Hypertension by Shape Analysis of the Human Right Ventricle: Robustness and Preliminary Association with Clinical Outcomes, Proceedings of the 6th International Conference on Computational & Mathematical Biomedical Engineering CMBE19 6th International Conference on Computational and Mathematical Biomedical Engineering. Sendai City, Japan.
- Zupan, Robert J, Clifford, Dale T, Beblo, Richard V & Brigham, John C (2019), Development and Evaluation of a Prototype Shape Memory Polymer Shape-Changing Building Surface Tile, Conference of the Engineering Mechanics Institute. Pasadena, CA.
- Banyay, Gregory A & Brigham, John C (2019), Surrogate Modeling and Global Sensitivity Analysis towards Efficient Simulation of Nuclear Reactor Stochastic Dynamics, Conference of the Engineering Mechanics Institute. Pasadena, CA.
- Banyay, Gregory A., Shields, Michael D. & Brigham, John C. (2019). Efficient global sensitivity analysis for flow-induced vibration of a nuclear reactor assembly using Kriging surrogates. Nuclear Engineering and Design 341: 1-15.
- Zupan, R.J., Clifford, D.T., Beblo, R.V. & Brigham, J.C. (2018). Numerical Investigation of Capabilities for Dynamic Self-Shading through Shape Changing Building Surface Tiles. Journal of Facade Design and Engineering 6(1).
- Grasinger, Matthew, Overacker, Scott & Brigham, John (2018). Numerical Investigation of the Accuracy, Stability, and Efficiency of Lattice Boltzmann Methods in Simulating Non-Newtonian Flow. Computers & Fluids 166: 253-274.
- Brigham, Katharine, Gupta, Samir & Brigham, John C. (2018). Predicting Responses to Mechanical Ventilation for Preterm Infants with Acute Respiratory Illness using Artificial Neural Networks. International Journal for Numerical Methods in Biomedical Engineering 34(8): e3094.
- Wang, Mengyu & Brigham, John C. (2017). A generalized computationally efficient inverse characterization approach combining direct inversion solution initialization with gradient-based optimization. Computational Mechanics 59(3): 507-521.
- Notghi, Bahram, Ahmadpoor, Mohammad & Brigham, John C (2016). Adaptive Reduced-Basis Generation for Reduced-Order Modeling for the Solution of Stochastic Nondestructive Evaluation Problems. Computer Methods in Applied Mechanics and Engineering 310: 172-188.
- Li, Zichang, Vandenbossche, Julie, Iannacchione, Anthony, Brigham, John C & Kutchko, Barbara (2016). Theory-Based Review of Limitations With Static Gel Strength in Cement/Matrix Characterization. SPE Drilling & Completion 31(02): 145-158.
- Wu, Jia, Brigham, Katharine G, Simon, Marc A & Brigham, John C (2014). An Implementation of Independent Component Analysis for 3D Statistical Shape Analysis. Biomedical Signal Processing and Control 13: 345-356.
- Wang, Shuang & Brigham, John C (2012). A Computational Framework for the Optimal Design of Morphing Processes in Locally Activated Smart Material Structures. Smart Materials and Structures 21(10): 105016.
- Wu, Jia, Wang, Yingqian, Simon, Marc A & Brigham, John C (2012). A New Approach to Kinematic Feature Extraction from the Human Right Ventricle for Classification of Hypertension: a Feasibility Study. Physics in Medicine and Biology 57(23): 7905.