SIAG on Imaging Science
 About Us
The Society for Industrial and Applied Mathematics sponsors Activity Groups to provide a more focused forum for members interested in exploring one of the areas of applied mathematics, computational science, or applications.
The SIAM Activity Group on Imaging Science (SIAG/IS) brings together SIAM members and other scientists and engineers with an interest in the mathematical and computational aspects of imaging.
 Research focus
In recent decades, the analysis of 2D and 3D images and video has become vital to many areas of science, medicine, engineering, manufacturing and entertainment. Typical objectives include image formation, compression, reconstruction, restoration, registration, motion recovery, tracking, feature extraction and semantic interpretation. Moreover, recent developments in the technology of imaging have also contributed to the explosive growth in the highly interdisciplinary field of "imaging science," generating new mathematical problems which cut across disciplines.
At the same time, increasingly sophisticated mathematical, statistical, and computational methods are being employed in these areas. The techniques utilized, besides those from traditional areas of mathematics, often originate in fields such as information theory, computer graphics, machine learning and speech technology, and include those based on linear transforms, harmonic analysis, nonlinear optimization, numerical linear algebra, integral equations, partial differential equations, differential geometry, statistical estimation and stochastic modeling.
 Join SIAG/IS
Membership in SIAG/IS is open to all members of SIAM. You can join online by filling out this form.
 Elected officers for 2016-17
- Chair: Eric Miller
- Vice Chair: Gitta Kutyniok
- Program Director: Omar Ghattas
- Secretary: Julianne Chung
 Mailing List
The activity group maintains a mailing list at firstname.lastname@example.org. Members may submits posts on job openings, conference and short-course announcements, recent book publications and PhD thesis announcements, along with other items of interest to the entire SIAM imaging community. The list is moderated by the secretary of SIAG/IS and posts should be approved within a few days of submission.
To sign up for the mailing list or to view the list archive, go to http://lists.siam.org/mailman/listinfo/siam-imaging.
 Conferences and Workshops
 SIAM IS Conferences
The SIAM Conference on Imaging Science has been held biennially since March 2002.
The next SIAM Conference on Imaging Sciencewill be held in Bologna, Italy, June 5-8, 2018.
- IS'16, Albuquerque, NM, May 23-26, 2016
- IS'14, Hong Kong, China, May 12-14, 2014
- IS'12, Philadelphia, PA, May 20-22, 2012
- IS'10, Chicago, IL, April 12-14, 2010
- IS'08, San Diego, CA, July 7-9, 2008
- IS'06, Minneapolis, MN, May 15-17, 2006
- IS'04, Salt Lake City, UT, May 3-5, 2004
- IS'02, Boston, MA, March 4-6, 2002
 Related Conferences and Workshops
Conference and workshop announcements submitted to the SIAG/IS listserv will be automatically included in this list. If you have a conference or workshop that you would like to see featured here, please email Julianne Chung at jmchung<at>vt<dot>edu.
- IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, September 25-28, 2016
- Training School: Scientific Computing for X-Ray CT, Technical University of Denmark, January 2-20, 2017
- SIAM Conference on Computational Science and Engineering (CSE), Atlanta, GA, February 27-March 3, 2017
- CVPR, Honolulu, HI, July 20-27, 2017
 Best paper prize
Established in 2010, the SIAM Imaging Science Best Paper Prize is awarded to recognize outstanding papers on the mathematical and computational aspects of imaging. The prize is awarded every two years.
General information of the prize can be found on the SIAM website.
- The 2016 prize was awarded to Yonathan Aflalo, Ron Kimmel, and Dan Raviv for their work on scale invariant geometry for nonrigid shapes.
- The 2014 prize was awarded to Alfred M. Bruckstein, David L. Donoho, and Michael Elad for their fundamental contribution to the theory and practice of sparse representations and compressed sensing, and their popularization within the imaging science community.
- The 2012 prize was awarded to Rodrigo Palma-Amestoy, Edoardo Provenzi, Marcelo Bertalmio, and Vicent Caselles for their work on color enhancement.
 Early career prize
Established in 2015, the SIAM Imaging Science Early Career Prize is awarded to an outstanding early career researcher in the field of imaging science for distinguished contributions to the field in the three calendar years prior to the year of the award. The prize is awarded every two years.
General information of the prize can be found on the SIAM website.
- The 2016 prize was awarded to Mauricio Delbracio.
Jobs advertised to the SIAG/IS mailing list at the request of SIAG/IS members will be automatically included in this list for at least 2 months after the original posting. If you are a job-seeker, you may also be interested in the SIAM Job Board or NA Digest.
- Postdoc position, Numerical PDEs, Rice University, Posted to SIAG/IS: Dec 2, 2016
- New Faculty Positions in Applied Math at Columbia, Posted to SIAG/IS: Nov 30, 2016
- Argonne National Laboratory is hiring (all career levels), Posted to SIAG/IS: Nov 27, 2016
- University Lecturer in the Statistics and Mathematics of Information, University of Cambridge, UK, Posted to SIAG/IS: Nov 1, 2016
- Post-doctoral position in the field of mathematical models for the analysis of medical 4D image data, Posted to SIAG/IS: Oct 11, 2016
 Related to imaging science
The SIAM Journal on Imaging Sciences covers all areas of imaging sciences, broadly interpreted. It includes image formation, image processing, image analysis, image interpretation and understanding, computer graphics and visualization, and inverse problems in imaging; leading to applications to diverse areas in science, medicine, engineering, and other fields. Formal approaches, at the level of mathematics and/or computations, as well as state-of-the-art practical results, are expected from manuscripts published in SIIMS. SIIMS provides a broad authoritative source for fundamental results in imaging sciences, with a unique combination of mathematics and applications. SIIMS is mathematically and computationally based, and offers a unique forum to highlight the commonality of methodology, models, and algorithms among diverse application areas of imaging sciences.
 Course Material
If you have an imaging science (or closely related) course you would like to see featured here, please email Julianne Chung at jmchung<at>vt<dot>edu.
- Applied and Computational Harmonic Analysis
- Harmonic Analysis on Graphs and Networks
- Laplacian Eigenfunctions: Theory and Applications
- Applied Fourier Analysis and Elements of Modern Signal Processing
- Image Processing and Reconstruction (iTunes) (Course notes in PDF)
 Old SIAG/IS website
You can access the old website of SIAG/IS here.