Monroe St. Bridge, Spokane, WA. Photo by Justin Marks.

Data Science and Image Analysis Conference of the Pacific Northwest

April 27 & 28, 2019

Eastern Washington University

In Cooperation with SIAM* and AWM**

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)

Eastern Washington University, Washington State University, and Gonzaga University, in cooperation with SIAM and AWM, 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 a plenary talk shared with an IEEE event and approximately 30 invited talks on open problems, with a breakout session for each. Possible topics 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, image reconstruction, and more.

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

Please contact the organizers at datascienceconference@gmail.com with any questions.

In Cooperation with SIAM*

*SIAM Representative: Laramie Paxton


Inclusion Statements

In an effort to make the conference accessible to all attendees, we ask for your cooperation in being fragrance-free. Please refrain from using fragranced personal care products–such as perfumes, colognes, perfumed lotions, etc.–on the day of the event. We thank you in advance for your efforts to support your colleagues. If we can support your inclusion at the conference in any way, please contact us at datascienceconference@gmail.com with any questions or requests for disability-related accommodations. We are committed to doing all that we can to support your full participation.

**It is the policy of the Association for Women in Mathematics (AWM) that all participants in AWM activities will enjoy a welcoming environment that is free from all forms of discrimination, harassment, and retaliation. As a professional organization, the AWM is committed to fostering an atmosphere that encourages the free expression and exchange of scientific ideas. In pursuit of that ideal, the AWM is committed to the promotion of equality of opportunity and treatment for all AWM members and participants in AWM-sponsored events, regardless of gender, gender identity or expression, race, color, national or ethnic origin, religion or religious belief, age, marital status, sexual orientation, disabilities, veteran status, or any other reason not related to scientific merit. Harassment, sexual or otherwise, is a form of misconduct that undermines the integrity of AWM activities.