Monday, July 7

MS4
Computational Science and Biology: The Challenges, Data, Methods and Tools - Part I of II

10:30 AM - 12:30 PM
Room: Ascot - Regency Hall

For Part II, see MS12

This special session on computational science will discuss the modern challenges, algorithms, datasets, discrete and analytical models and software tools for addressing varieties of problems arising in biomedicine, computational biology, engineering and social research. The goal of the session is to build bridges between existent imaging, physics, mathematics and statistics-based techniques and provide the infrastructure for data, models and software exchange between different computational science areas. Such interdisciplinary efforts will reduce redundancies in model and tool developments, significantly improve the validation of models and software tools and provide the framework for development of new computational meta-algorithms and elaborate integrated software resources.

Organizer: Luminita A. Vese
University of California, Los Angeles
Ivo D. Dinov
University of California, Los Angeles

10:30-10:55 Computational Models of Biological Shapes

Washington Mio, Florida State University

11:00-11:25 Decoding Brain Activity in Natural Environments

Francois G. Meyer, University of Colorado

11:30-11:55 Hippocampal Mapping with Intrinsic Surface Geometry

Yonggang Shi, Paul M. Thompson, Ivo D. Dinov, and Arthur Toga, University of California, Los Angeles

12:00-12:25 Parallel Elastic Registration using Octrees

George Biros and Rahul S. Sampath, Georgia Institute of Technology