Program
Monday, March 9, 2015
8:00-9:00
Registration/Continental Breakfast
9:00-9:15
Introductory Remarks
9:15-9:45
Alyssa Goodman (Harvard) Wide Data vs. Big Data
9:45-10:15
Carlos Scheidegger (University of Arizona) How do you look at a billion data points? Exploratory Visualization for Big Data
10:15-11:00
Break
11:00-11:20
Joshua Peek (STScI) Machine Vision Methods for the Diffuse Universe
11:50-2:00
Lunch
2:00-2:20
Elisabeth Mills (NRAO) Visualization and Analysis of Rich Spectral-Line Datasets
2:20-2:40
Brian Bue (JPL) Leveraging Annotated Archival Data with Domain Adaptation to Improve Data Triage in Optical Astronomy
2:40-3:10
Erzsébet Merényi (Rice) Knowledge Discovery from the Hyperspectral Sky
3:10-3:40
Break
3:40-4:10
Tamas Budavari (JHU) Streaming Algorithms for Optimal Combination of Images and Catalogues
4:10-4:30
Viviana Acquaviva (CUNY NYC College of Technology) Two applications of machine learning to data from galaxy surveys
4:30-4:50
Fred Moolekamp (Rochester) Toyz for Data Analysis
4:50
Adjourn, dinner on your own.
Wednesday, March 11, 2015
8:00-9:00
Registration/Continental Breakfast
9:00-9:30
Benjamin Williams (Washington) Reducing Large Imaging Data Sets on the Amazon Elastic Compute Cloud
9:30-9:50
Bruce Berriman (IPAC, Caltech) Creating A Multiwavelength Galactic Plane Atlas With Amazon Web
9:50-10:10
Arvind Gopu (Indiana) Trident: Custom Scalable Scientific Compute Archive and Analysis
10:10-10:30
Ignacio Sevilla (CIEMAT) Handling the Dark Energy Survey
10:30-10:50
Roberto Munoz (Pontificia Universidad Catolica de Chile) Efficient data reduction and analysis of DECam images in a multicore server
10:50
Coffee and Adjourn
Monday, March 9, 2015 |
|
---|---|
8:00-9:00 | Registration/Continental Breakfast |
9:00-9:15 | Introductory Remarks |
9:15-9:45 | Alyssa Goodman (Harvard) Wide Data vs. Big Data |
9:45-10:15 | Carlos Scheidegger (University of Arizona) How do you look at a billion data points? Exploratory Visualization for Big Data |
10:15-11:00 | Break |
11:00-11:20 | Joshua Peek (STScI) Machine Vision Methods for the Diffuse Universe |
11:50-2:00 | Lunch |
2:00-2:20 | Elisabeth Mills (NRAO) Visualization and Analysis of Rich Spectral-Line Datasets |
2:20-2:40 | Brian Bue (JPL) Leveraging Annotated Archival Data with Domain Adaptation to Improve Data Triage in Optical Astronomy |
2:40-3:10 | Erzsébet Merényi (Rice) Knowledge Discovery from the Hyperspectral Sky |
3:10-3:40 | Break |
3:40-4:10 | Tamas Budavari (JHU) Streaming Algorithms for Optimal Combination of Images and Catalogues |
4:10-4:30 | Viviana Acquaviva (CUNY NYC College of Technology) Two applications of machine learning to data from galaxy surveys |
4:30-4:50 | Fred Moolekamp (Rochester) Toyz for Data Analysis |
4:50 | Adjourn, dinner on your own. |
Wednesday, March 11, 2015 |
|
---|---|
8:00-9:00 | Registration/Continental Breakfast |
9:00-9:30 | Benjamin Williams (Washington) Reducing Large Imaging Data Sets on the Amazon Elastic Compute Cloud |
9:30-9:50 | Bruce Berriman (IPAC, Caltech) Creating A Multiwavelength Galactic Plane Atlas With Amazon Web |
9:50-10:10 | Arvind Gopu (Indiana) Trident: Custom Scalable Scientific Compute Archive and Analysis |
10:10-10:30 | Ignacio Sevilla (CIEMAT) Handling the Dark Energy Survey |
10:30-10:50 | Roberto Munoz (Pontificia Universidad Catolica de Chile) Efficient data reduction and analysis of DECam images in a multicore server |
10:50 | Coffee and Adjourn |