| Aeroelastic oscillations of a pitching flexible wing with structural geometric nonlinearities: Theory and numerical simulation B Robinson, L da Costa, D Poirel, C Pettit, M Khalil, A Sarkar Journal of Sound and Vibration 484, 115389, 2020 | 9 | 2020 |
| Comprehensive compartmental model and calibration algorithm for the study of clinical implications of the population-level spread of COVID-19: a study protocol B Robinson, JD Edwards, T Kendzerska, CL Pettit, D Poirel, JM Daly, ... BMJ open 12 (3), e052681, 2022 | 6 | 2022 |
| Aeroelastic oscillations of a pitching cantilever wing with structural geometric nonlinearities: theory, numerical simulation and global sensitivity analysis B Robinson Carleton University, 2018 | 6* | 2018 |
| Scalable computational algorithms for geospatial COVID-19 spread using high performance computing S Sharma, V Dolean, P Jolivet, B Robinson, JD Edwards, T Kendzerska, ... Mathematical Biosciences and Engineering 20 (8), 14634-14674, 2023 | 3* | 2023 |
| Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning R Sandhu, B Robinson, M Khalil, CL Pettit, D Poirel, A Sarkar Journal of Sound and Vibration 569, 117816, 2024 | 2 | 2024 |
| Global Sensitivity Analysis of Shockwave Location during Transonic Flight B Robinson, W Yuan, D Poirel AIAA AVIATION 2020 FORUM, 2726, 2020 | 2 | 2020 |
| Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters P Bisaillon, B Robinson, M Khalil, CL Pettit, D Poirel, A Sarkar Journal of Sound and Vibration 575, 118106, 2024 | 1 | 2024 |
| Exploring hierarchical framework of nonlinear sparse Bayesian learning algorithm through numerical investigations N Dabiran, B Robinson, R Sandhu, M Khalil, CL Pettit, D Poirel, A Sarkar arXiv preprint arXiv:2310.14749, 2023 | 1 | 2023 |
| A sparse Bayesian model selection algorithm for forecasting the transmission of COVID-19 B Robinson, R Sandhu, JD Edwards, T Kendzerska, A Sarkar TP63. TP063 COVID-19 IN ENVIRONMENTAL, OCCUPATIONAL, AND POPULATION HEALTH …, 2021 | 1 | 2021 |
| A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters B Robinson, P Bisaillon, JD Edwards, T Kendzerska, M Khalil, D Poirel, ... Infectious Disease Modelling, 2024 | | 2024 |
| The nonlinear effects of spinning on the dynamics of a pitching cantilever D Clarabut, B Robinson, D Poirel, A Sarkar Journal of Sound and Vibration 569, 117876, 2024 | | 2024 |
| Sparse Bayesian neural networks for regression: Tackling overfitting and computational challenges in uncertainty quantification N Dabiran, B Robinson, R Sandhu, M Khalil, D Poirel, A Sarkar arXiv preprint arXiv:2310.15614, 2023 | | 2023 |
