Preliminary Program subject to change
10D04 Applied Mathematics in Bioengineering I
OverviewPapers are sought that use computational and mathematical tools to address problems in the areas of biomedicine and biotechnology. Proposals to present need not include experimental data, but application-oriented studies are preferred to strictly theoretical work. Scales of interest may range from the intracellular to the organismal. Example topics include, but are not limited to, drug delivery design or refinement, models of biological processes at one or more scales, mathematical descriptions of biomimetic devices, and analysis or optimization of bioprocess systems in open- or closed-loop.
Primary SponsorApplied Mathematics and Numerical Analysis (10d)
Co-Sponsor(s)Engineering Fundamentals in Life Science (15d)

Chair

Nikos Mantzaris
Assistant Professor
Rice University
Chemical Engineering Department
Houston, TX 77005
Phone Number: 713-348-2955
Fax Number: 713-348-5478
Email: nman@rice.edu

CoChair

Sriram Neelamegham
SUNY at Buffalo
906 Furnas Hall
Buffalo, NY 14260
Phone Number: 706-645-2911
Email: neel@eng.buffalo.edu
Stochastic Modeling and Monte Carlo Simulation of the Temporal Evolution of Phenotypes R5, R5X4, and X4 of Human Immunodeficiency Virus Type 1
L. T. Fan1, A. Argoti1 and S. T. Chou2, (1)Department of Chemical Engineering, Kansas State University, 1005 Durland Hall, Manhattan, KS 66506, (2)Department of Finance and Banking, Kun Shan University of Technology, No. 949, Da-Wan Rd., Yung-Kang City, Taiwan
An Adaptive Time Stepping Scheme for Systems of Stochastic Differential Equations with Multiple Multiplicative Noise. Chemical Langevin Equations, a Proof of Concept
Vassilios Sotiropoulos, Chemical Engineering and Material Science, University of Minnesota, 151 Amundson Hall, 421 Washington Ave SE, Minneapolis, MN 55455 and Yiannis N. Kaznessis, Chemical Engineering. and Materials. Science, University of Minnesota, 499, Walter Library, 117, Pleasant St. SE, Minneapolis, MN 55455
Quantifying the Effect of Cell Population Heterogeneity on Proliferation Rates
Ryan Vargo, Chemical and Biomolecular Engineering, Rice University, Dept. of Chemical and Biomolecular Engineering, MS-362, P. O. Box 1892, Houston, TX 77251-1892 and Kyriacos Zygourakis, Rice University, Dept. of Chemical and Biomolecular Engineering, MS-362, P. O. Box 1892, Houston, TX 77251-1892
Quantitative Assessment of Biofitness in Heterogeneous Bacterial Populations under Antibiotic Pressure
Michael Nikolaou, Chemical Engineering, University of Houston, 4800 Calhoun Road, Houston, TX 77204-4004 and Vincent H. Tam, College of Pharmacy, University of Houston, 1441 Moursund, Houston, TX 77030
Solution Multiplicity of Inversion Problems in Distributed Systems
Kedar Kulkarni1, Jeonghwa Moon2, Libin Zhang2 and Andreas A. Linninger1, (1)Bioengineering, University of Illinois at Chicago, 851 S. Morgan St., Room 218, Chicago, IL 60607, (2)Chemical Engineering, University of Illinois at Chicago, 851 S. Morgan St., Room 218, Chicago, IL 60607
Stochastic Population Balance Modeling of Influenza Virus Replication in a Vaccine Production Process
Yury Sidorenko1, Josef Schulze-Horsel1, Andreas Voigt2, Udo Reichl3 and Achim Kienle4, (1)Bioprocess Engineering, Max Planck Institute Magdeburg, Sandtorstr. 1, Magdeburg, 39106, Germany, (2)Process Systems Engineering, University of Magdeburg, Universitaetsplatz 2, Magdeburg, 39106, Germany, (3)Bioprocess Eng., Max Planck Institute, Sandtorstrasse 1, Magdeburg, 39106, Germany, (4)Max Planck Institute for Dynamics of Complex Technical Systems, Magedburg, Germany
Fluorescence Microscopy –Based Inverse Cell Population Balance Modeling
Konstantinos Spetsieris, Kyriacos Zygourakis and Nikos Mantzaris, Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005

Computing and Systems Technology Division