Visualization and Data Analysis 2020

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

VDA 2020 Call for Papers PDF

Conference Hot Topics

Submissions that address data visualization and visual analytics aspects in the following areas are welcome:

  • Data analytics and visualization
  • Deep learning
  • HDR imaging and displays
  • HMI (human machine interface)
  • Medical / diagnostic imaging
  • Multi-scale data integration
  • Scientific imaging
  • Virtual and augmented reality

Conference Topics Ongoing

Visualization researchers and practitioners from around the world present their work and share their experience every year. See the Overview tab and Topics tab above for details on technical content and solicited topics. Submissions within the scope of this technical content are welcome.

Award

  • Kostas Pantazos Memorial Award for Outstanding Paper in Visualization and Data Analysis

Ways to Submit

There are four options for submission; please read the descriptions carefully.

  1. Presentation at the conference and publication in the conference proceedings. This is the most common option, and if accepted may be assigned either an oral or interactive (poster) presentation. For review, submit a 6-12 page full paper draft proceedings manuscript with optional figures using the symposium template  
  2. Presentation-only. Oral presentation at the conference, but no publication of work in the conference proceedings. Submit a 500- to 1000-word abstract. This option allows for “late-breaking” news/results.  
  3. JPI-first. Expedited review and publication in the Journal of Perceptual Imaging (JPI) before the conference, oral presentation at the conference, and inclusion in the conference proceedings. To meet the publication timeline, successful JPI-first submissions (journal paper, typically 10 or more pages) must require only minor revisions in response to peer-review. Those not meeting this stringent standard are automatically re-considered for presentation at the conference and publication in the proceedings (option 1 above). Author instructions for journal submissions  
  4. JIST-first. Expedited review and publication in the Journal of Imaging Science and Technology [SCI/EI-indexed] before the conference, oral presentation at the conference, and inclusion in the conference proceedings. To meet the publication timeline, successful JIST-first submissions (journal paper, typically 10 or more pages) must require only minor revisions in response to peer-review. Those not meeting this stringent standard are automatically re-considered for presentation at the conference and publication in the proceedings (option 1 above). Author instructions for journal submissions  

Final Manuscript Deadline

Manuscripts are submitted to the separate manuscript system via a custom link given to each accepted author. Final manuscripts (typically 4-6 pages) submitted in correct form by 25 November 2019 will be published online as of the opening day of EI 2020 via the Fast Track queue in the EI Digital Library. Manuscripts submitted or corrected after that date will be published online after EI 2020 in the complete conference proceedings. All manuscripts are due, in corrected form, by 10 February 2020.

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Important Dates
Call for Papers Announced 1 April 2019
Journal-first Submissions Due 15 Jul 2019
Abstract Submission Site Opens 1 May 2019
Review Abstracts Due (refer to For Authors page
 · Early Decision Ends 15 Jul 2019
· Regular Submission Ends 30 Sept 2019
 Final Manuscript Deadlines  
 · Manuscripts for Fast Track 25 Nov 2019
 · All Manuscripts 10 Feb 2020
Registration Opens 28 Oct 2019
Early Registration Ends 20 Dec 2019
Hotel Reservation Deadline 6  Jan 2020
Conference Begins 26 Jan 2020


 
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)