Mechanical & Aerospace Engineering
Tartakovsky studies uncertainty quantification, risk assessment,stochastic partial differential equations, inverse problems, hybrid algorithms, flow and transport in porous media, multiphase flow, subsurface hydrology, and biomedical modeling.
Applied mathematics (uncertainty quantification, probabilistic risk assessment, stochastic PDEs, hybrid methods, inverse modeling, data assimilations, flow and transport in heterogeneous porous media);Subsurface hydrology (stochastic methods in groundwater hydrology,unsaturated and multiphase flows, groundwater/ surface water interaction,seawater intrusion in coastal aquifers, CO2 sequestration); Biomedical modeling (microcirculation, calcium signaling, systems biology).
Daniel Tartakovsky is a professor in the Department of Mechanical and Aerospace Engineering at UC San Diego's Jacobs School of Engineering. He earned his Ph.D. in Hydrology from the Department of Hydrology and Water Resources, The University of Arizona, Tucson.