Mini-symposium on Mathematical and Computational Modeling of Biological Systems

Texas Tech University, Lubbock TX

Investigators

Abstract

Seshaiyer The investigator organizes a symposium on mathematical and computational modeling of biological systems at Texas Tech University from November 6-8, 2003. The conference consists of a series of lectures given by outstanding scholars who have contributed extensively to the central theme. The talks cover a broad range of topics, including the mathematics of cardiac arrhythmias, past successes and future challenges in continuum mechanics of soft biological tissues, a 20 year retrospective of the Chay-Keizer model, tumor mechanics, computational biofluid dynamics, and computational models of cardiovascular surgery planning. The main objectives of the meeting are to: (a) disseminate the most recent advances in mathematical and computational approaches in understanding biological systems, (b) increase the level of awareness in nurturing mathematical and computational research in biological systems, (c) to train senior undergraduate, graduate, post-doctoral students and early career scientists in interdisciplinary aspects of problem solving, and (d) initiate and promote new collaborations between mathematics and all areas of science, engineering and science education. The theme of the meeting is the opportunity to use mathematical and computational tools to understand biological systems. The meeting includes experts giving lectures on diverse topics in the underlying theme, with the expectation to provide members of the mathematical and engineering community an opportunity to learn about new research venues. Participants include undergraduate and graduate students and postdoctoral researchers. The meeting provides a forum for the exposure and exchange of ideas, methods, and results in the underlying theme of the conference. The conference provides an excellent opportunity to assess the current developments and future directions in this area. Special efforts are made to encourage women and underrepresented minorities to pursue careers in science, especially in interdisciplinary areas that bridge the biological, mathematical, and computational sciences.