Area(s) of Expertise

Applied dynamical systems, control, optimization and modeling, data-driven methods

Publications

• Bridging the gap between deterministic and probabilistic approaches to state estimation , Physica D Nonlinear Phenomena (2026)
• State estimation using sparse DEIM and recurrent neural networks , Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2026)
• Sequential data assimilation for PDEs using shape-morphing solutions , Journal of Computational Physics (2025)
• Enforcing conserved quantities in Galerkin truncation and finite volume discretization , Nonlinear Dynamics (2024)
• Modeling correlated uncertainties in stochastic compartmental models , Mathematical Biosciences (2024)
• Sparse Discrete Empirical Interpolation Method: State Estimation from Few Sensors , SIAM Journal on Scientific Computing (2024)
• Fast and scalable computation of shape-morphing nonlinear solutions with application to evolutional neural networks , Journal of Computational Physics (2023)
• Fisher information and shape-morphing modes for solving the Fokker–Planck equation in higher dimensions , Applied Mathematics and Computation (2023)
• Stochastic compartmental models of the COVID-19 pandemic must have temporally correlated uncertainties , Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2023)
• Tensor-based flow reconstruction from optimally located sensor measurements , Journal of Fluid Mechanics (2023)