Prof. Sarkar’s Research Students
Current Students
- Ajay Kumar, Ph.D. Student
- Clarabut, David, Ph.D. Student
Graduated Research Students
- Mittal, Sakhi, M.A.Sc. (2026) co-supervised with Dr. Percival, Valerie Bayesian Machine Learning for Gender-Stratified Mechanistic Epidemiological Models Using Public Health Data
- Clarabut, David, M.A.Sc. (2025) Efficient sparse Bayesian machine learning in nonlinear aeroelasticity using wind tunnel data
- Dabiran, Nastaran, Ph.D. (2025) Sparsity in Machine Learning Models via Hierarchical Bayesian Frameworks with Applications to Nonlinear Dynamical Systems
- Pantano, Michael, M.A.Sc. (2025) Comparing Parameter Estimation and State Prediction Performance of Physics Informed Neural Networks in Relation to Bayesian Inference
- Robinson, Brandon Michael George, Ph.D. (2025) Robust, Sparse, and Bayesian Learning of Stochastic Nonlinear Dynamical Systems with Applications in Aeroelasticity and Infectious Disease Modelling
- Padillath Vasudevan, Sudhi Sharma Ph.D. (2023) co-supervised with Siva Sivathayalan and Dominique Poirel Scalable Domain Decomposition Methods for Nonlinear and Time-Dependent Stochastic Systems
- Omar, Asma M.A.Sc. (2023) co-supervised with Mohammad Khalil and Dominique Poirel Anomaly Detection in the Vibration of Wind Turbine Blades using Gaussian Process Regression
- Sandhu, Rimple Ph.D. (2020) co-supervised with Drs. Dominique Poirel and Chris Pettit Model Comparison and Sparse Learning of Nonlinear Physics-Based Models Using Bayesian Inference
- Desai, Ajit Ph.D. (2019) co-supervised with Drs. Dominique Poirel and Chris Pettit Scalable Domain Decomposition Algorithms for Uncertainty Quantification in High Performance Computing
- Robinson, Brandon Michael George M.A.Sc. (2018) co-supervised with Dr. Chris Pettit Aeroelastic oscillations of a pitching cantilever wing with structural geometric nonlinearities: theory, numerical simulation and global sensitivity analysis
- Goyal, Chaitanya Raj M.A.Sc. (2017) co-supervised with r. Siva Sivathayalan Uncertainty Quantification in non-linear seismic wave propagation
- Rocha Da Costa, Leandro Jose M.A.Sc. (2017) co-supervised with Drs. Dominique Poirel and Chris Pettit Nonlinear Aeroelastic Modeling of a Flexible Wing and Comparison with Experiments
- Chajjed, Sandip M.A.Sc. (2016) co-supervised with Drs. Dominique Poirel and Chris Pettit Probabilistic Prediction of Coalescence Flutter Using Measurements: Application to the Flutter Margin Method
- Bisaillon, Philippe M.A.Sc. (2013) co-supervised with Drs. Dominique Poirel Bayesian Model Selection and Parameter Estimation for Strongly Nonlinear Dynamical Systems
- Khalil, Mohammad Ph.D. (2013) Bayesian inference for complex and large-scale engineering systems
- Matachniouk, Anton M.A.Sc. (2013) co-supervised with Dr. Dominique Poirel Parametric uncertainty quantification in coalescene flutter
- Sandhu, Rimple M.A.Sc. (2013) co-supervised with Drs. Dominique Poirel Bayesian Model selection and parameter estimation for a nonlinear fluid-structure interaction problem
- Subber, Waad Ph.D. (2013) Domain decomposition methods for uncertainty quantification
- Fereidooni, Amin M.A.Sc. (2009) Wave Propagation Based Structural Health Monitoring
- Monajemi, Hatef M.A.Sc. (2009) Data assimilation for shallow water waves : application to flood forecasting
- Wang, Ning M.A.Sc. (2009) Prediction of heat transfer and probability of insulation failure in wood-framed walls
- Khalil, Mohammad M.A.Sc. (2006) Reduced order linear system identification
- Zhu, Xiaoli (M.A.Sc. (2006) Uncertainty simulation using domain decomposition and stratified sampling