Lawrence Livermore National Laboratory

The 20th Annual Signal & Image Sciences Workshop

May 18, 2016 HPC Innovation Center

Registration Deadline: May 11, 2016

Abstract Submission Deadline: April 22, 2016

Proceedings are now available for the 2016 Signal & Image Sciences Workshop.


Workshop topics include (but are not limited to):

  • Signal processing
  • Image & video processing
  • NDE & inverse problems
  • Radar & wireless communications
  • Radiation detection & isotope ID
  • Machine learning & pattern analysis
  • Control systems
  • Real-time / embedded systems
  • Applications (e.g., seismic, remote sensing, astronomy)

The LLNL Center for Advanced Signal and Image Sciences (CASIS) exists to establish a forum where research scientists and engineers can freely exchange information and ideas in a comfortable intellectual environment focused on the areas of the signal and image sciences.

Read more about the CASIS mission.

The workshop is open to engineers, scientists, and students with an interest in the signal and image sciences, and there is no fee to attend.

Proper identification, such as a U.S. Government ID, driver license for U.S. citizens is required for entrance to the venue. Foreign nationals should register as early as possible to allow time for site access processing; please check here for additional site access information.

This year's Keynote Speaker, Professor Tülay Adali, renowned signal processing researcher, will be presenting "Sensor Fusion."

Past Workshops have hosted such luminaries as Georgios Giannakis (Big Data Analytics), Pietro Perona (Computer Vision),Charles Bouman (Model-Based Imaging), Richard Baraniuk (Compressive Sensing), James Flanagan (Speech Analysis), Alan Oppenheim (Signal Processing), Bernard Widrow (Adaptive Filters), and Ronald Bracewell (Fourier Imaging).

You can contribute in a variety of ways:

  • Give a talk: Submit your abstract
  • Present a poster: We encourage posters to enhance your opportunities to exchange technical ideas with your colleagues — submit an abstract
  • Spread the word: Distribute the CASIS flyer in your organization
Tülay Adali

Keynote Speaker:

Professor Tülay Adali

University of Maryland, Baltimore County

“Data Fusion Using Source Separation: Why and How to Account for Multiple Types of Statistical Diversity”

View Abstract View Biography View Slides

Special Session

"Signal Processing for Gravitational Wave Detection"

"Signal Processing for Gravitational Wave Detection"

Watch Featured Presentations

How to Detect a Gravitational Wave: A Discussion about the Advanced LIGO Interferometers

Presented by Brian Lantz, Ginzton Laboratory, Stanford University


Listening to the Universe with Advanced LIGO: Detection and Inference in Gravitational-Wave Astronomy

Presented by Rory Smith, LIGO Laboratory, California Institute of Technology


Detecting Gravitational Waves

An Interview with LIGO's Brian Lantz and Rory Smith

Interview with Brian Lantz, Ginzton Laboratory, Stanford University, and Rory Smith, LIGO Laboratory, California Institute of Technology