Content Gazette - December 2020 - 22

Call for Papers
IEEE Signal Processing Society
IEEE SIGNAL PROCESSING MAGAZINE
Special Issue on Signal Processing for Advanced Materials
The development of new materials has been a hallmark of technological advancement since at least the Bronze Age,
when copper and tin were alloyed to create tools that had properties favorable to those made from stone. For thousands
of years, until the development of microscope imaging, new materials continued to be developed " blindly, " without
any understanding of the effects of the structure at the micro- or nanoscale on the observable properties of a material.
With the advent of sensing modalities such as electron microscopy and x-ray tomography, huge amounts of
microstructural data of many different classes of materials have become available. However, the materials science
field has only recently begun to explore the methods of modern data and imaging science provided by the field of
signal processing. Where such methods have been applied, substantial leaps forward have been made in the design
and development of advanced materials. There is a tremendous opportunity for further interdisciplinary work between
the signal processing and materials science fields. This special issue aims to highlight both progress that has already
been made and research areas where signal processing methods could revolutionize the field of materials development
in the future.
To this end, this call seeks papers describing recent advances in the application of signal processing methods to
materials characterization, as well as papers on current unsolved materials research problems for which signal
processing expertise is needed. Some examples of topics include improved methods for sensing and reconstructing
data at scales on the order of microns, nanometers, or even the atomic scale; analysis of materials image data, for the
purposes of denoising, deblurring, segmentation, and feature extraction, for example; statistical modeling of
microstructure of materials; and stochastic simulation of materials.
Topics of interest include (but are not limited to):
Emerging sensor modalities for characterization
Tomographic reconstruction of materials images
Physics-based forward modeling and regularization
Non-intrusive methods for regularization
Feature-based reconstruction for materials datasets
Density estimation on data manifolds
Phase retrieval
Data fusion for materials datasets
Uncertainty quantification

Dynamic sampling for characterization
Image denoising, deblurring, segmentation
AI methods for modeling of materials
Stochastic simulation of materials structures
Statistically rare materials phenomena
Topology of materials
Model fusion
Superresolution
Graphical methods for microstructures

White papers are required, and full articles are invited based on the review of white papers. Articles submitted must
be of a tutorial and overview/survey nature and in accessible style to a broad audience. Submissions will be reviewed
according to the IEEE Signal Processing Magazine guidelines, and should not have been published or under review
elsewhere. Submissions should be made online at http://mc.manuscriptcentral.com/sps-ieee. For guidelines and
information on paper submissions, visit http://www.signalprocessingsociety.org/publications/periodicals/spm/.
Important Dates
White papers (4 pages) due
Invitation notification
Full-length manuscripts due
First reviews to authors

December 05, 2020
January 15, 2021
March 05, 2021
July 05, 2021

Revised manuscripts due July 01, 2021
Final decision notification September 01, 2021
Final manuscripts due
October 5, 2021
Publication date
January 2022

Guest Editors
Mary L. Comer, Lead Guest Editor, Purdue University, West Lafayette, IN, USA, comerm@purdue.edu
Jeff Simmons, Air Force Research Laboratory, Dayton, OH, jeff.simmons.3@us.af.mil
Steve Niezgoda, The Ohio State University, Columbus, OH, niezgoda.6@osu.edu
Charles A. Bouman, Purdue University, West Lafayette, IN, USA, bouman@purdue.edu
Benjamin Berkels, RWTH Aachen University, Germany, berkels@aices.rwth-aachen.de

www.signalprocessingsociety.org

22 DECEMBER 2020
http://www.signalprocessingsociety.org/publications/periodicals/spm/ http://www.signalprocessingsociety.org
Content Gazette - December 2020

Table of Contents for the Digital Edition of Content Gazette - December 2020
