Alexandre Miron Tartakovsky

Alexandre Miron Tartakovsky is a Professor in the Department of Civil and Environmental Engineering at the University of Illinois. His research focuses on computational methods for environmental and energy systems, including hydrodynamics, pore-scale modeling, and uncertainty quantification.

His work integrates deep learning with physics-informed models to address challenges in geological carbon storage, wind energy systems, and Bayesian data assimilation. Recent publications highlight applications of surrogate modeling, likelihood-free inference, and stochastic optimization in high-dimensional problems.

Key collaborators include researchers from the University of Illinois and external institutions. His recent articles demonstrate expertise in

• Chance-constrained power system control
• Neural network-based parameter estimation
• Dimensionality reduction for 3D geological modeling