講 演 会
演題 (title): Multiscale Geometric Models for Simulation and Visualization
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Prof. Chandrajit Bajaj
東京大学新領域創成科学研究科 客員教授
Center for Computational Visualization, Department of Computer Sciences,
Institute for Computational Engineering and Sciences, University of Texas at Austin
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| 日時 (date and time) |
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平成16年12月7日(火） (December 7, 2004) 16:00～17:00 |
| 講演場所 (location) |
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工学部6号館64号講義室 (6th Bldg of Engineering, room 64) |
The computational modeling, simulation and visualization of biomolecular
structures are progressively providing a better understanding
of the structure/function relationships of the nano-machinery of life.
In this talk, I shall present details of the creation and manipulation of
geometric models of biomolecules, at multiple scales, that are useful
for dynamics and biophysics simulations. While high-resolution data for
biomolecular structures are obtainable through X-ray diffraction,
there are several examples of macromolecules, such as plant or animal viruses,
which defy current crystallization efforts and therefore require Electron
Microscopy to elucidate its structure. A number of computational techniques
including data filtering, symmetry and boundary detection, and fold recognition,
are required in the construction of multiscale geometric which captures
the ultrastructure of these biomolecules.
These multiscale computational geometric models are usable in other
scientific domains, where computer simulation based simulation and visualization
has proven useful.
講演者について (about the speaker)：
Chandrajit Bajaj is the CAM Chair in Visualization Professor of computer sciences
at the University of Texas at Austin, as well as the director of the Computational
Visualization Center, in the Institute for Computational and Engineering Sciences (ICES).
He graduated from the Indian Institute of Technology, Delhi with a Bachelor's Degree
in Electrical Engineering, in 1980 and received his M.S. and Ph.D. degrees in
Computer Sciences from Cornell University, in 1983, and 1984 respectively.
Prior to the University of Texas, Bajaj was a professor of computer sciences at Purdue
University and director of the Purdue center for image analysis and visualization.
Bajaj's research areas span Image Processing, Geometric Modeling, Computer Graphics,
Visualization, and Computational Mathematics.
His current research topics include de-noising, reconstruction and compression
algorithms for volumetric and time-dependent imaging; as well as data structures that
support multi-resolution finite element approximations of large geometries and multiple
function fields.
Bajaj has been developing integrated approaches to computational modeling,
simulations, mathematical analysis and interrogative visualization,
especially for dynamic bio-medical phenomena.
Bajaj has over 170 publications, has written one book and edited three other books
in his area of expertise. He is on the editorial boards for the International Journal
of Computational Geometry and Applications, and the ACM Transactions on Graphics.
He is on numerous national and international conference committees and has served as a
scientific consultant to national labs and industry.
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