What is CASIS?
The LLNL Center for Advanced Signal and Image Sciences (CASIS) exists to push the art of signal and image sciences.
Technical Focus Areas
- Computed Tomography Reconstruction and Analysis
- Signal & Image Processing and Control in Support of the National Ignition Facility
- Radiation Detection and Isotope ID
- Adaptive Optics
- Novel Sensing Modalities (Gravity Gradiometry, Biomedical and Geophysical Sensing)
- Computer Vision and Video Analytics
- Machine Learning and Pattern Analysis
Annual Signal and Image Sciences Workshop
Professor David A. Castañón, renowned signal processing researcher, will deliver the keynote address at the 21stth annual workshop on May 17, 2017.
CASIS has hosted 21 annual workshops featuring such luminaries as Professor Tülay Adali (Data Fusion Using Source Separation), 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).
The 2017 Keynote Address was delivered by Georgios Giannakis, renowned signal processing researcher, University of Minnesota.What is CASIS?
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
Post-Doc Opportunities
We are currently seeking two post-docs to conduct basic and applied research.
Specific areas include, but are not limited to:
- Sparse signal recovery & compressive sensing.
- Machine learning techniques.
- Inverse problems & image reconstruction.
- Video analytics.
See the job posting.
