Research Keyword climate change

Donald Dabdub
http://albeniz.eng.uci.edu/dabdub/
Professor
Mechanical and Aerospace Engineering
Office: EG 4226
Lab: EG 3102
Dr. Dabdub is interested in the mathematical modeling of air pollution dynamics.

His research is conducted in two areas: atmospheric sciences and computational sciences. Working in the area of atmospheric sciences, his work is aimed at the mathematical modeling of urban and global air pollution, understanding the dynamics of atmospheric aerosols and global climate change. Within the realm of computational sciences, Dr. Dabdub is interested in massively parallel computations, the numerical analysis of partial differential equations, and the development of problem solving environments.

His current activities include a modeling study of Cl2 formation from aqueous NaCl particles; development of a semi-Lagrangian flux scheme for the solution of the aerosol condensation/evaporation equation; development of a two-level time-marching scheme using splines for solving the advection equation; and an investigation into the effect of alveolar volume and sequential filling on the diffusing capacity of the lungs.

His work can be applied to foster a better understanding of air pollution and the dynamics of global climate change.

Haris Catrakis
Associate Professor
Mechanical and Aerospace Engineering
Office: EG 4218
The research fields of Prof. Catrakis and his students are turbulence, flow dynamics, and multiscale phenomena in general, with emphasis on fundamental aspects of multiscale dynamics, predictability, and optimization. Because turbulence is a widely occurring phenomenon consisting of highly irregular motion across a wide range of scales, the study of turbulence has broad significance across a wide range of multidisciplinary applications such as air, land, sea, and space systems, environmental phenomena, human health, sustainable energy, communications, atmospheric dynamics, ocean dynamics, weather forecasting, as well as global climate change, with turbulence serving as a paradigm of multiscale behavior for complex phenomena.

The research approach of Prof. Catrakis and his students consists of basic theories including testing by computations and visualizations, with emphasis on mathematical methods, physical modeling, variational principles, direct numerical simulations, large-eddy simulations, smoothed particle computing, multiscale visualizations, predictability, and flow optimization. Prof. Catrakis is the recipient of several awards including the National Science Foundation Career Award, the Fitzpatrick Prize in Physics, the Rutty Prize in Mathematics, the Esso Award in Science, the Buhler Award in Aeronautics, the Mager Prize in Engineering, and the Henry Ford Scholar Award. Prof. Catrakis has also been elected Associate Fellow of the American Institute of Aeronautics and Astronautics.