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Juergen Hahn
Assistant Professor
| Diploma | (1997) RWTH Aachen, Germany |
M.S. | (1998) University of Texas at Austin |
Ph.D. | (2002) University of Texas at Austin |
| Address: |
Dept. of Chemical Engineering
Texas A&M University
3122 TAMU
College Station, TX 77843-3122 |
| Phone: |
(979) 845-3568 |
| Fax: |
(979) 845-6446 |
| E-mail: |
hahn@tamu.edu |
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Research Interests
An effective research program in the systems area is necessarily interdisciplinary in nature.
Systems engineering overlaps with applied mathematics and computer science and applications of
systems engineering can be found in almost any engineering discipline as well as in physics
and biology. The main focus of our research is on developing novel systems engineering
techniques for, and applying sophisticated methods to, complex dynamic systems in order to
understand their function up to the point that predictions about future behavior under different
conditions are possible. The systems under study range from applications in systems biology to
traditional chemical engineering processes.
Our research group focuses on two general areas: One is the development of new techniques
for systems analysis (e.g., sensitivity analysis, experimental design, parameter estimation,
or model reduction) with an emphasis on methods for nonlinear systems and/or significant levels
of uncertainty in the model. The second general area is the application of these techniques to
specific biochemical systems, such a signal transduction or metabolic pathways, but also to new processes in the
chemical process industries, e.g., benzene hydrogenation via reactive distillation. Work conducted
in this second area is always performed in close collaboration with other research groups or industry
as it is essential to combine any modeling approach with experimental or plant data.
Strong interactions exist between the "methods" and the "application" areas in our group, as certain
applications drive the need for new techniques to be developed, while at the same time, it becomes
possible to answer specific questions about a system due to newly developed methods. One particularly
intriguing aspect is that new systems analysis techniques can be used for different applications with
only minor modifications.
Selected Publications
Y. Chu, A. Jayaraman, and J. Hahn.
Parameter Sensitivity Analysis of IL-6 Signaling Pathways.
IET Systems Biology 1, No. 6, pp. 342-352 (2007)
A.K Singh, A. Jayaraman, and J. Hahn.
Modeling Regulatory Mechanisms in IL-6 Signal Transduction in Hepatocytes.
Biotechnology & Bioengineering 95, No. 5, pp. 850-862 (2006)
A.K Singh and J. Hahn.
Sensor Location for Stable Nonlinear Dynamic Systems: Multiple Sensor Case.
Industrial & Engineering Chemistry Research 45, No. 10, pp. 3615-3623 (2006)
C. Sun and J. Hahn.
Model Reduction in the Presence of Uncertainty in Model Parameters.
Journal of Process Control 16, No. 6, pp. 645-649 (2006)
W.H. Jang, K.R. Hall, and J. Hahn.
Genetic/Quadratic Search Algorithm for Plant Economic Optimizations Using a Process Simulator.
Computers and Chemical Engineering 30, No. 2, pp. 285-294 (2005)
S. Rajaraman, J. Hahn, and M.S. Mannan.
A Methodology for Fault Detection, Isolation, and Identification for Nonlinear Processes with Parametric Uncertainties.
Industrial & Engineering Chemistry Research 43, No. 21, pp. 6774 -6786 (2004)
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