Lawrence Livermore National Laboratory


The workshop will examine current opportunities and challenges for the signal and image sciences community. The forum is intended to enable a productive exchange of ideas on state-of-the-art technologies and recent developments. With the goal of sparking interesting discussions, we encourage submission of intermediate results from ongoing projects or recent conference papers. To enhance technical exchange between participants, we are also encouraging posters for this Workshop. The event is open to all engineers, scientists, and students with an interest in the signal and image sciences who are employed at LLNL only this year.

The workshop will be held in-person at the Livermore Valley Open Campus (LVOC), B463 R1400, and requires pre-registration. Coffee and snacks will be provide for morning/afternoon breaks.

We are monitoring the current development and guidelines provided by LLNL to make sure we are following best practices with respect to COVID. Please see current guidelines on the [Return to New Normal] website.


This year’s workshop will feature the following tracks, moderated by the Program Chairs:

Organizing Committee

  • Workshop Chair: Ruben Glatt
  • Workshop Co-Chair: Dave Chambers
  • Co-Organizers: Grace Hong and Alysia Nieto

Program Chairs

  • Hiranmayi Ranganathan
  • Sean Lehman
  • Ryan Goldhahn
  • K. Aditya Mohan
  • Laura Kegelmeyer

Supported by:

Call for Submissions

Abstract deadline: Friday, August 12th   |    Speaker confirmation: Friday, August 19th

Proposal submission: Use the Registration button above to submit your abstract. For general questions about the CASIS Workshop, contact Ruben Glatt. For questions about the program, please reach out to the Program Chair of the track you want to present in.

Keynote Speaker

Dr. Barry Y. Chen


Computational Engineering Division

“Data Science and Machine Learning @ LLNL”

View Abstract View Biography


SESSION 1: 8:00–9:30am

SESSION 2: 10:00am–12:00pm

SESSION 3: 1:00–2:40pm

SESSION 4: 3:30–5:00pm