Interdisciplinary Computational Seminars

Fall 2007 - Spring 2008

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.


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

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?

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 This page also contains information on how to UNSUBSCRIBE.