[Event at CIG] [CFP] SDM23 Workshop on Data Science for Smart Manufacturing and Healthcare (DS2-MH)

[Arianna Dagliati]

Dear Colleagues,

Below is the Call for Papers from SDM23 Workshop on Data Science for Smart
Manufacturing and Healthcare (DS2-MH). *Note that the deadline has been
extended to Feb 26.*

SDM 2023 Publicity Chairs



*Call for Papers*

*SDM23 Workshop on Data Science for Smart Manufacturing and Healthcare
(DS2-MH)*



Workshop website - https://sdm23wsmh.github.io/

Submission link- https://easychair.org/conferences/?conf=ds2mhatsdm23

Submission deadline- February 26, 2023



*Workshop Description*

In the era of the Internet of things (IoT), with the rapid development of
advanced sensing, data storage, and high-performance computing
technologies, both manufacturing industries and healthcare systems are
experiencing a data‑driven revolution. However, the unique characteristics
of manufacturing and healthcare systems prevent the direct application of
existing data-driven methods. Their characteristics include (1) systematic
physical principles; (2) high demand for interpretability, robustness, and
trustworthiness; and (3) limited computation resources and the need for
instant decision-making. These characteristics raised pressing needs to
develop domain-aware machine learning for critical tasks in manufacturing
and healthcare systems, such as smart diagnosis, automatic control, design
optimization, customized analytics, etc.

This workshop at SDM 2023 aims to demonstrate the recent research progress
of data science, which focuses on addressing the unique challenges in
manufacturing and healthcare systems, such as the gaps in data quality
assurance, domain-aware data analytics, improvement of trustworthiness,
etc. It also provides a venue to gather the researchers and practitioners
to share their cutting-edge thoughts and opinions.

*Topics of Interest*

We cordially invite submissions that focus on recent advances in
research/development of data science, which are motivated by real-world
problems in manufacturing and healthcare.

Papers and/or posters focus on both theoretical foundations and
applications are welcomed from the areas including but not limited to:

*Methodology*

●      Active learning

●      Bayesian optimization

●      Contrastive learning

●      Deep reinforcement learning

●      Domain-aware machine learning

●      Generative model

●      Graph machine learning

●      Image/video processing

●      Incremental learning

●      Surrogate modeling

●      Trustworthy machine learning

●      Uncertainty quantification

*Application*

●      Additive manufacturing

●      Anomaly detection

●      Biomanufacturing

●      Cyber-physical systems

●      Dataset design

●      Data quality and security

●      Design optimization

●      Disease screening and prediction

●      Material/process degradation

●      Healthcare and biomedical data analytics

●      Imaging and sensing

●      Process monitoring and control

●      Quality control

●      Root cause diagnosis

●      Sustainable manufacturing

*Submission Guideline*

All paper submissions should be 3 to 8 pages (excluding the references and
appendix), following the SDM 23 conference format - please refer to the SDM
23 website (
https://www.siam.org/conferences/cm/submissions-and-deadlines/sdm23-submissions-deadlines)
for further details.

The link for paper submission is
https://easychair.org/conferences/?conf=ds2mhatsdm23, and it is listed on
the workshop website (https://sdm23wsmh.github.io/). The submission should
be in PDF format. According to the conference policy, at least one author
of each accepted paper should register to the SDM23 conference. The best
paper winner as well as the honorable mention (according to the reviewers'
ratings) will be announced at the end of the workshop.

All submissions will be reviewed double-blind. Thus, the submissions must
be blinded, and no author information should appear anywhere in the
manuscript. Please note that the workshop will NOT take the ownership of
paper copyrights.

*Important Dates (Pacific Time)*

●      Paper Submission: Feb 26, 2023, 11:59 PM

●      Acceptance Notification: March 12, 2023, 11:59 PM

●      Final Paper Submission: April 1, 2023, 11:59 PM

*Student Poster Session*

The workshop will also organize a student poster competition. Details will
be announced on the workshop website (https://sdm23wsmh.github.io/) soon.

*Organizing Committee*

●      Chenang Liu, Assistant Professor, Oklahoma State University,
chenang.liu at okstate.edu

●      Yao Ma, Assistant Professor, New Jersey Institute of Technology,
yao.ma at njit.edu

●      Diane Oyen, Scientist, Los Alamos National Laboratory, doyen at lanl.gov

●      Yinan Wang, Assistant Professor, Rensselaer Polytechnic Institute,
wangy88 at rpi.edu

*Venue*

This workshop will be held in conjunction with SIAM International
Conference on Data Mining (SDM23) on April 27 - 29, 2023, Minneapolis, MN,
USA. The detailed schedule of this workshop will be released soon.

*Contact*

For questions about submission and this workshop, please feel free to
contact the workshop organizers.





-- 
Arianna Dagliati
Laboratory for Biomedical Informatics "Mario Stefanelli"
Department of Electrical, Computer and Biomedical Engineering
University of Pavia, Italy
e-mail: arianna.dagliati at unipv.it
http://www.labmedinfo.org/it/people/arianna-dagliati-phd/


<http://www.labmedinfo.org/it/people/arianna-dagliati-phd/>