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ASCR Machine Learning Workshop

Sponsored by the U.S. Department of Energy,
Office of Advanced Scientific Computing research
Hilton Washington DC/Rockville Executive Meeting Center
Rockville, MD
January 5-7, 2015

ASCR MACHINE LEARNING AND UNDERSTANDING FOR SCIENTIFIC DISCOVERY REPORT (PDF, 1.82 MB)

ASCR Program Manager: ROBINSON PINO

The U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research will host the ASCR Machine Learning Workshop at the HILtON WASHINGTON DC/ROCKVILLE EXECUTIVE MEETING CENTER in Rockville, Maryland. The meeting will begin on MONDAY, JANUARY 5, 2015, AT 12:00 P.M. AND WILL END ON WEDNESDAY, JANUARY 7, AT 12:00 P.M.

Invitation:

On behalf of Dr. Robinson E. Pino from the Advanced Scientific Computing Research (ASCR) Division of the Office of Science, U.S. Department of Energy, we invite you to submit a one to two page abstract to contribute to our upcoming ASCR Machine Learning Workshop. Reviewed and accepted abstracts will be invited to contribute to our upcoming workshop. Abstract submission deadline is October 16, 2014.

We believe Machine learning has the potential to transform Office of Science research best practices in an age where extreme complexity and data overwhelm human cognitive and perception ability by enabling system autonomy to self-manage, heal and find patterns and provide tools for the discovery of new scientific insights. Research abstracts are requested in three focused areas: (1) self-aware runtime and operating systems, (2) deep learning for big data, and (3) resiliency and trust.

Abstract submissions are intended to educate and inform ASCR based on your experience, insights, and vision for how Machine Learning will transform Office of Science research best practices. Reviewed and accepted abstracts will be invited to contribute to our upcoming workshop. Address submissions or request for information via email to: mberry@eecs.utk.edu, pbalapra@anl.gov, maxversace@gmail.com or robinson.pino@science.doe.gov. Dr. Michael W. Berry (Univ. of Tennessee) will serve as the General Workshop Chair. We look forward to your submission.

Sincerely,
Robinson Pino

 

Workshop Organizing Committee

Dr. Michael Berry (Chair)
Professor, University of Tennessee

Dr. Prabhat
Research Scientist, Lawrence Berkeley National Laboratory

Dr. Thomas E. Potok
Group Leader, Oak Ridge National Laboratory

Dr. Prasanna Balaprakash
Computer Scientist, Argonne National Laboratory

Dr. Hank Hoffmann
Assistant Professor, The University of Chicago

Dr. Raju Vatsavai
Associate Professor, North Carolina State University

 

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Important Notice

Workshop participation priority is by the acceptance of a submitted and accepted abstract (i.e., invitation to submit an abstract is not an invitation to contribute and to attend the workshop). Due to space limitations and high demand for participation and attendance, submitted and accepted abstracts will be invited to contribute with priority over those who did not submit an abstract or whose abstract was not formally accepted.