machine learning, blind source separation, feature extraction, data compression, exploratory analysis, unsupervised/supervised/deep machine learning
model inversion, parameter estimation, uncertainty, sensitivity and risk analysis, performance assessment and decision support (MADS; http://mads.lanl.gov)
experimental and remediation design
simulation of multiphase flow, transport and biogeochemical reactions in porous/fractured media (CHROTRAN; http://chrotran.lanl.gov)
analytical and numerical techniques for simulation of flow/transport in saturated/unsaturated, porous/fractured media;
development of regional/site scale conceptual and numerical models; evaluation of conceptual model uncertainties; ontological trees;
parameter estimation; characterization of heterogeneity of subsurface flow medium; high-resolution stochastic imaging (tomography); stochastic inverse analysis; geostatistical and Monte-Carlo Markov-Chain methods;
scale effects in medium properties; Lévy (alpha-stable) distributions; fractal formalism;
subsurface fluid dynamics and contaminant transport; well hydraulics; exploration and protection of groundwater resources; design of groundwater-supply systems; capture-zone analyses;
decision support, model-based decision making, impact evaluation of uncertainties on decision making; risk assessment;
quantification of uncertainty associated with estimates, predictions, and conceptual model elements;
model selection; model ranking; Maximum Likelihood Bayesian Averaging (MLBA); Generalized Likelihood Uncertainty Estimation (GLUE);
value of information; data-worth analyses; global sensitivity and uncertainty analyses;
optimal design of environmental management activities (characterization, data acquisition; remediation; monitoring); experiment design aiming reduction of data gaps and uncertainties; optimal design of monitoring networks; decision trees;
General Information Theory (GIT); Fuzzy sets; Rough sets; Bayesian techniques;
single- and multi-objective optimization methods; global/local techniques; Levenberg-Marquardt and Particle Swarm methods;
model abstraction; model reduction; reduced order modeling;
high-performance programming;
quantum computing.
