This preliminary program is subject to change.

Systems Engineering Approaches in Biology and Biomedicine


Description:
Contributions to this session are sought that address recent advances and challenges in the application of system engineering approaches to problems of a biological nature. The topics of interest include, but are not limited to, the use of engineering tools to address problems such as the analysis of metabolic networks, mathematical analysis and simulation of biological processes, systems approaches in intracellular processes, analysis of signal transduction pathways, modeling of drug delivery systems using engineering approaches, and linear and nonlinear analysis of dynamic biosystems. We strongly encourage submissions that combine both experimental and computational approaches. Both fundamental and applied contributions are welcome.

Sponsor:
Computers in Operations and Information Processing


Chair:
Ioannis Androulakis
Assistant Professor
Rutgers - The State University of New Jersey
Biomedical Engineering Department, Chemical & Biochemical Engineering Department
Piscataway, NJ 08854
Phone Number: 732 445 0099
Fax Number: 732 445 3753
Email: yannis@rci.rutgers.edu

Co-Chair:
Ipsita Banerjee

Papers:
Eukaryotic Nonlinear Dynamics and Intracellular Heat-Shock Bifurcations
Dimitrios I. Gerogiorgis, Massachusetts Institute of Technology (M.I.T.)
Computational Screening for the Discovery of Small Molecule Regulators of Insulin Degrading Enzyme
Ezgi Dagyildiz, Koç University; Onur Dağlıyan, Koç University; Seda Kızılel, Koç University; Metin Türkay, Koç University
Sensitivity Analysis of a Model of Calcium Dynamics Reveals Hot-Spots of Signaling
Mano R. Maurya, Department of Bioengineering, University of California San Diego; Shankar Subramaniam, University of California San Diego
Optimal Induction of Saccharomyces Cerevisiae for Enhanced Metabolite Production in Batch Culture
Timothy Lauer, University of Massachusetts; Michael A. Henson, University of Massachusetts
See more of this Group/Topical: Computing and Systems Technology Division