Recent Advances in Machine Learning and Computational Methods for Geoscience

October 22 - 26, 2018

Content

Overview

Poster:

SW10.22-26.18_poster.pdf

Organizers:

David Coblentz	Los Alamos National Laboratory
Aric Hagberg	Los Alamos National Laboratory
Youzuo Lin	Los Alamos National Laboratory
Rosemary Renaut	Arizona State University
James Theiler	Los Alamos National Laboratory
Brendt Wohlberg	Los Alamos National Laboratory

Novel computational and machine learning techniques are emerging as important research topics in many geoscience domains. In this workshop, we bring together researchers from geosciences and computational science to discuss recent advances and challenges arising from the design and application of computational techniques.

Different geoscience applications often share similar computational techniques. However, there are not many opportunities for researchers from different domains to share their experiences in designing and using computational tools and methods. Through this workshop, we intend not only to investigate those common computational methods in depth, but also to promote potential future applications.

The purpose of our workshop is to (1) demonstrate the importance of computational methods in understanding and analyzing the real problems arising in a broad array of geosciences applications, such as seismology, topography, hydrology, and remote sensing; (2) foster communication and interaction between geoscience researchers and computational scientists; and (3) identify critical research topics and potential solutions. The main research topics of our workshop will include but not be limited to statistical and machine learning techniques, inverse problems, and optimization. This workshop will also include an evening poster session.

Schedule

Tentative List of Speakers

Charles Bouman (Purdue University) (confirmed)
Clint Dawson (The University of Texas at Austin) (confirmed)
Maarten De Hoop (Rice University) (confirmed)
Emre Ertin (The Ohio State University) (confirmed)
Tom Goldstein (University of Maryland) (confirmed)
Eldad Haber (University of British Columbia) (confirmed)
Felix Herrmann (Georgia Institute of Technology) (confirmed)
Paul Johnson (Los Alamos National Laboratory) (confirmed)
Misha Kilmer (Tufts University) (confirmed)
Demetrio Labate (University of Houston) (confirmed)
Weichang Li (Aramco Services Company) (confirmed)
Nathan Longbotham (Descartes Labs, Inc.) (confirmed)
Monica Maceira (Oak Ridge National Laboratory) (confirmed)
Jodi Mead (Boise State University) (confirmed)
Eric Miller (Tufts University) (confirmed)
Stanley Osher (University of California, Los Angeles) (confirmed)
Saurabh Prasad (University of Houston) (confirmed)
Alan Schaum (Naval Research Laboratory) (confirmed)
Manoochehr Shirzaei (Arizona State University) (confirmed)
Frederik Simons (Princeton University) (confirmed)
Daniel Tartakovsky (Stanford University) (confirmed)
Velimir Vesselinov (Los Alamos National Laboratory) (confirmed)
Ming Yan (Michigan State University) (confirmed)
Alina Zare (University of Florida) (confirmed)
Pengchuan Zhang (Microsoft Research) (confirmed)
Amanda Ziemann (Los Alamos National Laboratory) (confirmed)

Participants

Name	Department	Affiliation
Sonja Behnke		LANL
Charles Bouman	School of Electrical and Computer Engineering	Purdue University
Clint Dawson	Department of Aerospace Engineering and Engineering Mechanics	The University of Texas at Austin
Maarten De Hoop	Department of Computational and Applied Mathematics and Earth Science	Rice University
Emre Ertin	Department of Electrical and Computer Engineering	The Ohio State University
Tom Goldstein	Department of Computer Science	University of Maryland
Eldad Haber		University of British Columbia
Aric Hagberg	Computer, Computational, and Statistical Sciences Division	Los Alamos National Laboratory
Felix Herrmann	School of Electrical and Computer Engineering	Georgia Institute of Technology
Paul Johnson	Geophysics Group (EES-17)	Los Alamos National Laboratory
Peter Kang	Department of Earth Sciences	University of Minnesota, Twin Cities
Misha Kilmer	Department of Mathematics	Tufts University
Demetrio Labate	Department of Mathematics	University of Houston
Weichang Li	Aramco Research Center-Houston	Aramco Services Company
Youzuo Lin	Geophysics Group, Earth and Environmental Sciences Division	Los Alamos National Laboratory
Nathan Longbotham		Descartes Labs, Inc.
Monica Maceira	Global Security Directorate	Oak Ridge National Laboratory
Jodi Mead	Department of Mathematics	Boise State University
Eric Miller	Department of Electrical & Computer Engineering	Tufts University
Stanley Osher	Department of Mathematics	University of California, Los Angeles
Saurabh Prasad	Department of Electrical & Computer Engineering	University of Houston
Rosemary Renaut	School of Mathematics & Statistics	Arizona State University
Alan Schaum	Optical Sciences Division	Naval Research Laboratory
Manoochehr Shirzaei	School Of Earth and Space Exploration	Arizona State University
Frederik Simons	Department of Geosciences	Princeton University
Daniil Svyatskiy	Theoretical Division	Los Alamos National Laboratory
Daniel Tartakovsky	Department of Energy Resources Engineering	Stanford University
James Theiler	Intelligence and Space Research	Los Alamos National Laboratory
Velimir Vesselinov	Earth and Environment Sciences	Los Alamos National Laboratory
Brendt Wohlberg	Department of Applied Mathematics and Plasma Physics	Los Alamos National Laboratory
Ming Yan	Department of Computational Mathematics, Science and Engineering (CMSE)	Michigan State University
Alina Zare	Department of Electrical and Computer Engineering	University of Florida
Pengchuan Zhang	Deep Learning Team	Microsoft Research
Amanda Ziemann	Intelligence and Space Research	Los Alamos National Laboratory