13 - 17  January, 2019 • Burlingame, California USA

Visualization and Data Analysis 2019

Conference Keywords: Visual and Data Analytics, Visualization, Human Factors, Data Mining, Virtual and Augmented Reality, Cyber-security.

Related EI Short Courses:

Begins Wednesday January 16, 2019

Program Preview

Below is a sample of the program. Full details will be posted soon.

Chemometric data analysis with autoencoder neural network, Muhammad Bilal1 and Mohib Ullah2; 1University of Trento (Italy) and 2Norwegian University of Science and Technology (NTNU) (Norway)

Correlation visualisation for sleep data analytics in SWAPP (Sleep Wake Application), Amal Vincent, Simon Fraser University (Canada)

Visualization and data analysis of quantum computations in high energy, nuclear and condensed matter physics, Michael McGuigan, Raffaele Miceli, Charles Kocher, Tri Duong, Christopher Kane, and Brandon Ortega, Brookhaven National Lab (United States)



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Important Dates
Call for Papers Announced 1 Mar 2018
Journal-first Submissions Due 30 Jun 2018
Abstract Submission Site Opens 1 May 2018
Review Abstracts Due (refer to For Authors page
 · Early Decision Ends 30 Jun 2018
· Regular Submission Ends 8 Sept 2018
· Extended Submission Ends 25 Sept 2018
 Final Manuscript Deadlines  
 · Fast Track Manuscripts Due 14 Nov 2018 
 · Final Manuscripts Due 1 Feb 2019 
Registration Opens 23 Oct 2018
Early Registration Ends 18 Dec 2018
Hotel Reservation Deadline 21 Dec 2018
Conference Begins 13 Jan 2019


 
View 2018 Proceedings
View 2017 Proceedings
View 2016 Proceedings

Conference Chairs
Thomas Wischgoll, Wright State University (United States); Song Zhang, Mississippi State University (United States); David Kao, NASA Ames Research Center (United States); Yi-Jen Chiang, New York University (United States)

Program Committee
Madjid Allili, Bishop's University (Canada); Wes Bethel, Lawrence Berkeley National Laboratory (United States); Abon Chaudhuri, Intel Corporation (United States); Guoning Chen, University of Houston (United States); Joseph Cottam, Pacific Northwest National Laboratory (United States); Sussan Einakian, The University of Alabama in Huntsville (United States); Ulrich Engelke, CSIRO (Australia); John Gerth, Stanford University (United States); Matti Gröhn, Finnish Institute of Occupational Health (Finland); Christopher G. Healey, North Carolina State University (United States); Halldór Janetzko, University of Konstanz (Germany); Ming Jiang, Lawrence Livermore National Laboratory (United States); Andreas Kerren, Linnaeus University (Sweden); Harinarayan Krishnan, Lawrence Livermore National Laboratory (United States); Robert Lewis, Washington State University (United States); Peter Lindstrom, Lawrence Livermore National Laboratory (United States); Zhanping Liu, Kentucky State University (United States); Aidong Lu, The University of North Carolina at Charlotte (United States); G. Elisabeta Marai, University of Illinois at Chicago (United States); Richard May, Pacific Northwest National Laboratory (United States); Theresa-Marie Rhyne, Computer Graphics and E-Learning (United States); René Rosenbaum, meeCoda (Germany); Jibonananda Sanyal, Oak Ridge National Laboratory (United States); Pinaki Sarder, University of Buffalo (United States); Graig Sauer, Towson University (United States); Jürgen Schulze, University of California, San Diego (United States); Chad Steed, Oak Ridge National Laboratory (United States); Kalpathi Subramanian, The University of North Carolina at Charlotte (United States); Shigeo Takahashi, University of Aizu (Japan); Chaoli Wang, University of Notre Dame (United States); Leishi Zhang, Middlesex University London (United Kingdom)