| Prof. Georgopoulos' research
group applies chemical engineering concepts and methods of transport
phenomena, thermodynamics, and chemical kinetics/reactor design,
in combination with state-of-the-art numerical analysis and programming
tools, to develop computational models of complex environmental and
biological systems. The products of this research are utilized in
a variety of industrial, environmental, and medical applications
that involve the interfacing of chemical engineering with the evolving
disciplines of health, ecological, risk and bioinformatics engineering.
Prof. Georgopoulos' Computational Chemodynamics Laboratory (CCL),
receives annually approximately $2M of combined research funding
from federal, state, and industry sources, to pursue original projects
in the following areas:
Computational Chemodynamics - Mathematical Modeling of Environmental
and Biological Systems:
- Multimedia transport, fate and uptake of environmental
pollutants; photochemical smog; air toxics; persistent organics;
heavy metals
- Physiologically-based pharmacokinetics and dosimetry
- Computational toxicology and toxicogenomics
Environmental and Human Exposure Information Systems Methods:
- Multidimensional/spatiotemporal data warehousing, mining,
and diagnostic analysis via Geographic Information and Database Management
Systems
- Multiroute/multipathway modeling of human exposure to toxics
- Enviroinformatics and bioinformatics
Risk and Uncertainty Analysis Methods:
- Uncertainty analysis and reduction methods for environmental
and occupational health risk assessment
Funded research activities at CCL have included collaborative
projects with Princeton University, Harvard University, Penn State, University of Washington, Vanderbilt University, and others.
For more information, please visit CCL's website: http://www.ccl.rutgers.edu . |
Representative Recent Publications
Balakrishnan S., Banerjee I., Georgopoulos P.G. and Ierapetritou M.
(2002). Uncertainty Considerations in the Description of Complex Reaction
Systems. American Institute of Chemical Engineers Journal 48(12): 2875-2889
Wang S.W., Georgopoulos P.G., Li G. and Rabitz H. (2003). RS-HDMR with
Nonuniformly Distributed Variables: Application to an Integrated Multimedia/Multipathway
Exposure and Dose Model for Trichloroethylene. Journal of Physical
Chemistry A 107: 4707-4716
Chandrasekar A., Philbrick C.R., Clark R., Doddridge B. and Georgopoulos
P.G. (2003). A Large-Eddy Simulation Study of the Convective Boundary
Layer over Philadelphia During the 1999 Summer NE-OPS Campaign. Environmental
Fluid Mechanics 3(4): 305-329
Balakrishnan S., Roy A., Ierapetritou M.G., Flach G.P. and Georgopoulos
P.G. (2003). Uncertainty Reduction and Characterization of Complex Environmental
Fate and Transport Models: An Empirical Bayesian Framework Incorporating
the Stochastic Response Surface Method. Water Resources Research 39(12):
1350
Ouyang M., Welsh W.J. and Georgopoulos P. (2004). Gaussian Mixture Clustering
and Imputation of Microarray Data. Bioinformatics 20(6): 917-23 |
