CEDAR email: COSPAR 2016: Session S.3: Novel Techniques for Measurement and Processing of Solar and Space Data - Call for Abstracts

[Figen S. Oktem]

Dear Colleagues,

We would like to invite you to submit contributed abstracts to the event
S.3: “Novel techniques for measurement and processing of solar and space
data” at the 41st COSPAR Scientific Assembly, which will be held in
Istanbul, Turkey from July 30 to August 7, 2016. Details of the event are
given below.

The abstract submission deadline is 12 February 2016. Abstracts can be
submitted using the following link:

https://www.cospar-assembly.org/

Best regards,

Scientific Organizing Committee:
Figen S. Oktem, Middle East Technical University, Turkey
Farzad Kamalabadi, University of Illinois at Urbana-Champaign, USA
Joseph M. Davila, NASA Goddard Space Flight Center, USA

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Session Title:
S.3: Novel techniques for measurement and processing of solar and space data

Session Description:
Unprecedented observations enabled by advances in instrumentation, along
with the development of sophisticated information processing techniques
provide a unique opportunity for improving our understanding of the space
environment. This event aims to bring together a cross-disciplinary
research community that work on the development of innovative instrument
concepts and data processing techniques needed to address fundamental
scientific questions in space and solar physics. Main key topics are

(i) Novel measurement techniques for next-generation instrumentation,

which include new instrument concepts and design approaches for remote and
in-situ sensing of space plasmas, as enabled by emerging technologies, and
with the goals of addressing challenging observational tasks and providing
unprecedented information with improved capabilities such as low-cost,
low-power, lightweight, high-resolution, high-accuracy, and high-bandwidth

(ii) Novel mathematical, statistical, and computational techniques for
information processing,

with an emphasis on advanced data-driven methods that combine theoretical
models, observational data, and reconstruction techniques (in concert) for
meaningful scientific inference, optimal processing methods for autonomous
detection, tracking, and prediction of solar and space events from
multiple, heterogeneous, and distributed data sets (such as EUV imagers,
spectrographs, magnetograms, coronographs, etc.), dimensionality reduction
for increasing volumes of data