Fall 2004 - Spring 2005

These graduate student-oriented seminars provide a forum to present and learn about computationally-oriented research occurring in many different disciplines. Interaction is encouraged with an emphasis on sharing ideas and obtaining feedback regarding issues arising at any stage of the computational pipeline, from applications through models and methods to scalable parallel and distributed computing, storage and visualization. To make these talks accessible to a multi-disciplinary audience of researchers, no prior knowledge of the specific discipline area will be assumed by the speakers.

ALL ARE WELCOME TO ATTEND!

Spring 2005 Schedule

	February 28	Computing the Universe Jeremiah P. Ostriker, Astrophysics, Princeton University
	March 7	A New Approach for Optimization under Uncertainty Stacy Janak, Chemical Engineering, Princeton University
	March 14	Spring Break
	March 21	A tutorial introduction to density functional theory for bulk solids and surfaces Patrick Huang, Mechanical and Aerospace Engineering, Princeton University
	March 28	Modeling problems in biology using linear and integer programming Carl Kingsford, Computer Science, Princeton University
	April 4	Weighing evidence without using a gold standard Phil Long, Center for Computational Learning Systems, Columbia University
	April 11	Optimization Methods in Materials Science Sal Torquato, Chemistry, Princeton University
	April 18	Introduction to stochastic simulation with the Gillespie method David Karig, Electrical Engineering, Princeton University
	April 25	The Computational Challenge of Modeling the Explosion of Massive Stars Tony Mezzacappa, Group Leader for Theoretical Astrophysics, Oak Ridge National Laboratory

Fall 2004 Schedule

	September 27	Scientific Discovery Through Advanced Computing in Plasma Science William Tang, Chief Scientist, PPPL, Associate Director, PICSciE
	October 4	Local Basis Expansions for Inverse Problems Partha Mitra, Cold Spring Harbor Labs
	October 11	Advances in Climate and Weather Prediction using High-Performance Computing Brian Gross, Deputy Director, GFDL
	October 18	Adaptive Mesh Refinement Methods for Numerical Solution of PDEs Ravi Samtaney, PPPL
	October 25	No Seminar
	November 1	An Adaptive Framework for Dimension Reduction of Kinetic Models Ipsita Banerjee, Chemical Engineering, Rutgers University
	November 8	Domain Decomposition Methods for Partial Differential Equations David Keyes, Applied Phys & Applied Math, Columbia University
	November 15	High Dimensional Model Representation (HDMR) Genyuan Li, Chemistry, Princeton University
	November 22	Computational Science Challenges in Financial Risk Management Andrew Abrahams, J.P. Morgan Chase
	November 29	Algorithms for Disentangling Overlapping Images Robert Lupton, Astrophysics, Princeton University
	December 6	Computing the Sounds of Music Perry Cook, Computer Science, Princeton University

Interested in presenting a talk?