Princeton PICASso: Program in Integrative Information, Computer and Application Sciences

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 2008 Schedule

	February 11	Visualization and Matching for Networks of People and Data Tony Jebara, Computer Science, Columbia University
	February 18	How Language Learning Explains Language Design Charles Yang, Linguistics/Computer Science, University of Pennsylvania
	February 25	Multicore Meets Petascale: The Catalyst for a Software Revolution Kathy Yelick, EECS, UC Berkeley Slides
	March 3	Communicating 3D Shape using Lines Doug DeCarlo, Computer Science/Center for Cognitive Science, Rutgers University
	March 10	Computational and Mathematical Models of Decision Making and Cognitive Control Jonathan Cohen, Psychology/Neuroscience, Princeton University
	March 17	*No Seminar --- Spring Break*
	March 24	Sensor Sensibility Robert Calderbank, PACM, Princeton University
	March 31	Machine Learning Opportunities in Functional Brain Imaging Francisco Pereira, Psychology, Princeton University
	April 7	Why Computing Climate is Hard: It's the Science, Stupid Geoff Vallis, GFDL, Princeton University
	April 14	DNA Hash Pooling and its Applications Dennis Shasha, Computer Science, New York University
	April 21	Network Sampling and Subsampling Joe Blitzstein, Statistics, Harvard University
	April 28	Getting Ready for Exascale Computational Science Rick Stevens, Computer Science, University of Chicago/Argonne National Laboratory

Fall 2007 Schedule

	September 24	Discovering Meaning in the Visual World Fei-Fei Li, Computer Science, Princeton University
	October 1	Applications of Large-Scale Machine Learning in Vision and Robotics Yann LeCun, Computer Science Department, New York University
	October 8	Graphical Models for Social Networks Anna Goldenberg, University of Pennsylvania
	October 15	The SiCortex SC5832, a 5.8 Teraflop Low-power Multicore Cluster Lawrence Stewart,, SiCortix, Inc.
	October 22	*Scale Makes Things Interesting and* Useful Craig Nevill-Manning**, Google
	October 29	*No Seminar --- Fall Break*
	November 5	Revisiting Query Clarity: a Distinctiveness Measure for Information Retrieval Daniel Tunkelang, Endeca
	November 12	Finding Predictive Runs with LAPS (the Lasso with Attribute Partition Search) Suhrid Balakrishnan, Rutgers University
	November 19	Visual Intelligence from Video and 3D Sensor Analytic Harpreet Sawhney, Sarnoff
	November 26	Contextual Biomedical Image Learning Kevin Zhou, Siemens Corporate Research
	December 3	Life is Motion: Watching Tiny Cells Find their Way Joshua Shaevitz, Physics Department and Lewis-Sigler Institute, Princeton University
	December 10	Detecting ExtraSolar Planets: A Survey of Methods and Results Robert Vanderbei, ORFE, Princeton University

MONDAYS, Computer Science Building, Room 302 (unless otherwise noted)

Seminars begin at 12:30 p.m.

These seminars are partially supported by the Princeton Institute for Computational Science and Engineering (PICSciE)

This seminar series consists of three types of talks:

PICASso "Successes" Seminar

Leading researchers are invited to present special sessions about key "Successes of Computational Science" in their field; i.e., areas of success in the science that could not have been (or easily been) achieved without scalable computation.

PICSciE Colloquium

Leading researchers are invited to present accessible overviews of their work, or tutorials on specific methods.

PICASso Research Seminar

Graduate students, post-docs and young faculty present overviews of their research projects and/or tutorials on computational methods they are using.

Interested in presenting a talk?

PICASSO MAILING LIST:
If you would like to be kept informed of computationally-oriented events in (and around) Princeton, please SUBSCRIBE to the PICASso mailing list by visiting https://lists.cs.princeton.edu/mailman/listinfo/picasso. This page also contains information on how to UNSUBSCRIBE.