Data Science and Image Analysis Conference of the Pacific Northwest

April 27 & 28, 2019

Eastern Washington University

In Cooperation with SIAM*

Held in conjunction with the Joint 2019 8th International Conference on Informatics, Electronics & Vision (ICIEV) and

3rd International Conference on Imaging, Vision & Pattern Recognition (IVPR)

In Cooperation with SIAM*

*SIAM Representative: Laramie Paxton

Eastern Washington University, Washington State University, and Gonzaga University, in cooperation with SIAM, will co-host the Data Science and Image Analysis Conference of the Pacific Northwest on April 27 and 28, 2019, at Eastern Washington University in Cheney, Washington. The first day will have professionals from industry, government, and academia in the fields of data science and image analysis come together, along with students and post-doctoral researchers, to collaborate on open problems through short talks, in-depth group discussions, and breakout sessions. The second day will consist of professional development activities for students and junior researchers, and will feature presentations from members of this group, with direct feedback provided from professionals. Workshops will be offered as a practical and theoretical introduction to these disciplines, and panel discussions will provide timely career advice. Organizations from across the Pacific Northwest will be on-site to speak with students interested in pursuing careers in data science and image analysis. There will be two plenary talks and approximately 30 invited talks on open problems, with a breakout session for each. Discussion topics will include topological data analysis, bioinformatics, learning from remote sensing data, financial & economic prediction, image segmentation and filtering in biomedical imaging, hyperspectral imaging, pattern recognition, shape analysis, and image reconstruction.

The conference will promote close collaborations on current and ongoing areas of research through a highly interactive and open format, with discussions taking place in larger groups and in smaller breakout sessions. These sessions will also provide a unique opportunity for students and junior researchers to participate and will hopefully encourage future collaborations among researchers after the conference.

The ever-increasing demand for managing and analyzing “big data” in nearly every sector of society, from finance and security to health care and social media, has led to a wide range of applications across numerous fields of research. Similarly, image analysis techniques have continued to be developed and incorporated into a multitude of disciplines, such as biomedical imaging, machine learning, and computer vision. Since many important societal outcomes are dependent on these fields, the conference hopes to make a broad impact by widely sharing the progress made on the open problems discussed. With the demand for experts in these areas growing rapidly, the conference also seeks to increase the number of researchers entering STEM fields, especially women and members of underrepresented groups, by offering professional development and introductory workshops.

Organizing Committee:

  • Laramie Paxton, Chair, Washington State University and Eastern Washington University (
  • Viktoria Taroudaki, Co-chair, Eastern Washington University
  • Justin Marks, Co-chair, Gonzaga University
  • Charles Moore, Washington State University
  • Christian Hansen, Eastern Washington University
  • Atsushi Inoue, Eastern Washington University
  • Atiqur Rahman Ahad, University of Dhaka and Osaka University
  • Marissa Mourer, Eastern Washington University

A very special thank you to the conference sponsors: