----- Title: ----- Computational Methods in Bioengineering ----------- Organizers: ----------- Suvranu De Department of Mechanical, Aerospace and Nuclear Engineering Jonsson Engineering Center 2046 Rensselaer Polytechnic Institute Troy, NY 12180-3590 phone (518) 276-6096 fax (518) 276-6025 E-mail des@rpi.edu Mohammad Reza Kaazempur Mofrad Department of Bioengineering Director, Biomechanics & Cellular Mechanobiology Laboratory University of California Berkeley 483 Evans Hall #1762 Berkeley, CA 94720-1762 Phone: (510) 643-8165 Fax: (510) 642-5835 Email: mofrad@berkeley.edu Ashkan Vaziri Division of Engineering and Applied Sciences Harvard University 29 Oxford Street Pierce 316 Cambridge, MA 02138 avaziri@deas.harvard.edu Phone: (617)-496-5167 Fax: (617) 495-0601 ------------------------- Minisymposium description: ------------------------- The aim of the Computational Bioengineering minisymposium is to recognize the increasing role of computation in Bioengineering. It is now established that computational tools are indispensable to augment experimental techniques for the analysis of complex biosystems and increase the success rates of clinical interventions and therapeutic effectiveness. The innovations brought about by the application of computational technology to bioengineering are expected to have a substantial socioeconomic impact. It is anticipated that this minisymposium will build upon the overhwhelming success of the symposia organized within the US National Congress on Computational Mechanics in 03 and 05, respectively. Topics of interest include (but are not restricted to) the following: - Solid and fluid biomechanics as well as fluid-structure interactions. - Computational models for molecular, cellular, and tissue biomechanics. - Biological mass transport. - Remodeling, regeneration. - Computational simulations of injury and injury prevention. - Innovations in numerical techniques (FEM/FVM/BEM/FDM/Meshless methods etc) and algorithmic issues for biomechanical simulations. - Multiscale and multiphysics modeling. - Virtual reality based techniques of surgical simulation and planning.