Astroinformatics is a recent interdisciplinary field of science that applies modern computational tools to the solution of astronomical problems. The field was born in response to the rapid growth of data volumes corresponding to a variety of sky surveys. Data repositories have gone from gigabytes into terabytes, and we expect those repositories to reach the terabytes in the coming years. An important area in astroinformatics is the application of data mining tools for analysis of large astronomical repositories and surveys. Key issues involve not only an efficient management of data resources, but also the design of new conceptual tools that efficiently address the nature of astronomical data. Astroinformatics intersects with a variety of research areas such as data organization, data description, astronomical classification taxonomies, data mining, machine learning, visualization, and astrostatistics.
August 17, 2013: New extended deadline for full workshop papers.
Note that the June 21st deadline is for the main conference and not for this workshop. You are still on time to send a contribution to our workshop on Astroinformatics!
September 24, 2013: Notification of paper acceptance to authors
October 15, 2013: Camera-ready deadline for accepted papers
December 7, 2013: Workshop date
Title of talk: Calculation & Applications of Bayesian Evidence (Marginal Likelihood) in Astrophysics.
Dr. Farhan Feroz is a Leverhulme & Newton Trust Research Fellow in Astrophysics at the Department of Physics at the University of Cambridge, where he obtained his PhD in Astrophysics under the supervision of Prof. Mike Hobson. Dr. Feroz was awarded the Salje medal by Clare Hall, Cambridge for best Science PhD in 2009. His research has focused primarily on the development of novel Bayesian analysis and machine-learning methods and their application to a wide variety of problems in cosmology and particle physics. He has published over 50 journal articles. In recognition of his research, Dr. Feroz was awarded the 2011 UK Scopus Young Researcher award in physical science by Elsevier and US/UK Fulbright Commission.
Title of talk: Solar Data Mining.
Dr. Angryk joined the Department of Computer Science at Georgia State University in the August of 2013. Prior to that, he was an associate professor in the Department of Computer Science at Montana State University and founding director of MSU's Data Mining Laboratory. He received M.S. and Ph.D. degrees in Computer Science in 2004 from Tulane University. His main research interests lie in the data mining area, and specifically in the challenge of new knowledge acquisition from real-life, massive databases. Dr. Angryk has published over 60 journal articles, book chapters and peer-reviewed conference papers in these areas. His research has been sponsored by the federal agencies: NASA, NGA, NSF and industry: Intergraph Corporation, RightNow Technologies (currently Oracle).