Ralph Smith
Mathematics
- Phone: 919-515-7552
- Email: rsmith@ncsu.edu
- Office: SAS Hall 4140
- Website: https://rsmith.math.ncsu.edu/
Research Interests
- Mathematical modeling of smart materials
- Numerical analysis and numerical methods for physical systems
- Parameter estimation
- Control theory
- Uncertainty quantification
- Sensitivity analysis.
Publications
- Bayesian inference informed by parameter subset selection for a minimal PBPK brain model
- Dadashova, K., Smith, R. C., Haider, M. A., & Reich, B. J. (2025), Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383(2292), 20240219. https://doi.org/10.1098/rsta.2024.0219
- Localization of Stationary and Moving Radiation Sources Using a Feedforward Neural Network with an Array of Sensors
- Edwards, C., Smith, R. C., Mattingly, J., & Wilson, A. G. (2025, April 13), NUCLEAR TECHNOLOGY, Vol. 4. https://doi.org/10.1080/00295450.2025.2462370
- Local Identifiability Analysis, Parameter Subset Selection and Verification for a Minimal Brain PBPK Model
- Dadashova, K., Smith, R. C., & Haider, M. A. (2024), Bulletin of Mathematical Biology, 86(2). https://doi.org/10.1007/s11538-023-01234-4
- Quantifying collective motion patterns in mesenchymal cell populations using topological data analysis and agent-based modeling
- Nguyen, K. C., Jameson, C. D., Baldwin, S. A., Nardini, J. T., Smith, R. C., Haugh, J. M., & Flores, K. B. (2024), MATHEMATICAL BIOSCIENCES, 370. https://doi.org/10.1016/j.mbs.2024.109158
- Controller Design for Distributed Parameter Systems
- Smith, R. C. C. (2023, February), IEEE CONTROL SYSTEMS MAGAZINE, Vol. 43, pp. 98–100. https://doi.org/10.1109/MCS.2022.3216693
- Effects of problem complexity reduction on parameter sensitivity and classification in charring ablator scenarios
- Rostkowski, P., Meurisse, J. B. E., Thornton, J. M., Smith, R. C., & Panesi, M. (2022), AEROSPACE SCIENCE AND TECHNOLOGY, 124. https://doi.org/10.1016/j.ast.2022.107522
- A hierarchical Bayesian model for background variation in radiation source localization
- Michaud, I. J., Schmidt, K., Smith, R. C., & Mattingly, J. (2021), NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1002. https://doi.org/10.1016/j.nima.2021.165288
- Modeling and Parameter Subset Selection for Fibrin Polymerization Kinetics with Applications to Wound Healing
- Pearce, K. J., Nellenbach, K., Smith, R. C., Brown, A. C., & Haider, M. A. (2021), Bulletin of Mathematical Biology, 83(5). https://doi.org/10.1007/s11538-021-00876-6
- SURROGATE BASED MUTUAL INFORMATION APPROXIMATION AND OPTIMIZATION FOR URBAN SOURCE LOCALIZATION
- Hollis, A. N., Smith, R. C., & Wilson, A. G. (2021), INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 11(5), 39–55. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2021034400
- The maximum entropy method for data fusion and uncertainty quantification in multifunctional materials and structures
- Gao, W., Miles, P. R., Smith, R. C., & Oates, W. S. (2021, October 8), JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, Vol. 10. https://doi.org/10.1177/1045389X211048220
