Lawrence Livermore National Laboratory




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Summary

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 and is free of charge.


Topics

Among the broad range of technical topics slated are computed-tomography reconstruction and analysis, signal- and image processing and control in support of the National Ignition Facility, radiation detection and isotope ID, electromagnetic sensing methods, adaptive optics, novel sensing modalities (gravity gradiometry, biomedical and geophysical sensing), computer vision and video analytics, and machine learning and pattern analysis.


Call for Submissions

Abstract deadline: Wednesday, July 7th
Speaker confirmation: TBD
Proposal submission: Please email title and short abstract to Kyle Champley (champley1@llnl.gov). Abstracts are used to organize sessions and will not be published.

Organizing Committee

  • Workshop Chair: Dave Chambers, CASIS Director
  • Program Chair: Kyle Champley
  • Co-Chairs: Hiranmayi Ranganathan and Ruben Glatt

Support Team

  • Administrative POC: Vera Sanchez

Supported by:

           


Agenda

DAY 1, August 4, 2021

TimeSpeakerInstitutionTopic
TBA
TBA
TBA

DAY 2, August 5, 2021

TimeSpeakerInstitutionTopic
TBA
TBA
TBA

Keynote & Featured Speakers

Dr. Petros Boufounos

Dr. Petros Boufounos KEYNOTE SPEAKER

Mitubishi Electric Research Laboratories

“The Computational-Sensing Revolution in Array Processing”


View Abstract View Biography

 


Dr. Anderson Avila

Dr. Anderson Avila FEATURED SPEAKER

Huawei Canada

“On the use of blind channel response estimation and a residual neural network to detect physical access attacks to speaker verification systems”


View Abstract View Biography

 


Dr. Christine Allen-Blanchette

Dr. Christine Allen-Blanchette FEATURED SPEAKER

Princeton University

“Leveraging Dataset Structure for Neural Network Prediction”


View Abstract View Biography