Our apologies if you receive multiple copies of this CFP
CALL FOR PAPERS for DSHS 2019
1st International Workshop on Data Science for Health Systems (DSHS 2019)
In conjunction with the 11th International Conference on Ubiquitous and
Future Networks (ICUFN)
co-sponsored by IEEE ComSoc and IEICE Communications Society technically.
(July 2 to 5, 2019 in Zagreb, Croatia)
We are pleased to invite you to submit original contributions to DSHS 2019.
Paper due: April 30, 2019
Author Notification: May 10, 2019
Camera-ready due: May 15, 2019
CALL FOR PAPERS
What is currently referred to as Data Science is object of research since
the sixties. It is an interdisciplinary area that has recently gained a lot
momentum since it became clear that the insights present in the massive and
increasing amount of available digital data, commonly referred to as "big
data", can re-shape a broad range of socio-economic activities, such as
retail, finance, healthcare, energy, telcos, media, government, and many
Among all these applications of the discipline, Data Science for Health
Systems have attracted a lot of research efforts. It consists unlocking
hidden insights in biomedical big data sets, and provide answers to ongoing
biomedical problems. The ICT technologies that are expected to have a
crucial role in data science for health systems include big data
management, virtualization and visualization technologies, machine
learning. This branch of Data Science is considered essential means
tackling numerous challenges in many heath-related fields, such as
medicine, pharmacology and synthetic biology. The interdisciplinary nature
of the area has prompted the creation of research projects and working
groups that brings together researchers from different areas.
The 1st International Workshop on Data Science for Health Systems aims at
providing an opportunity for researchers to meet, exchange research ideas
and compare innovative solutions.
Biomedical Data Management
Cloud usage for deploying and analyzing Biomedical Applications.
Open-source packages for analyzing biomedical data.
Data Science and Molecular Communication Systems
Processing platforms for Data Science for Health Systems
Data Science for drug discovery and delivery
Data Science for intelligent treatment
Innovative models for biomedical data representation, visualization and
Simulation and emulation of biomedical processes
Combination of Data Science and Molecular Communication Systems
Exploitation of Cross-sectorial dependencies.
Novel analytic techniques and benchmarking systems
Ethical issues in Data Science for Biomedical applications
ICT for omics sciences
All papers must be submitted electronically, in PDF format, and uploaded on
EDAS. The direct link for paper submission is
https://edas.info/newPaper.php?c=25428&track=96180. There are two options
for the submissions, either a full paper or a short paper. We decided to
allow the submission of short papers in order to accommodate the most
recent research outcomes. The submissions should be formatted with
single-spaced, double-column pages using at least 10 pt (or higher) size
fonts on A4 or letter pages in IEEE style format. The maximum number of
pages is 6 for full papers and 2 for short papers. Detailed formatting and
submission instructions will be available on the conference web site (
All ICUFN 2019 authors whose papers are accepted for publication in
conference proceeding are invited to submit their extended papers (30%
minimum, 50% or more is desirable) over 4 pages long to the special issue
on "selected papers from ICUFN 2019".
Final recommendation will be made based on the paper's quality. Authors of
the accepted papers do not have to pay any open access publication fee of
ICT Express journal.
Department of Engineering, University of Perugia.
Via G. Duranti, 93 06125 Perugia, Italy.
Department of Computer Science and Media Technology, Malmö University,
And Department of Electrical, Electronic and Computer Engineering,
University of Pretoria, South Africa
TECHNICAL PROGRAM COMMITTEE MEMBERS:
Roberto Zicari, University of Frankfurt, Germany
Mauro Femminella, University of Perugia, Italy
Emilia Nunzi, University of Perugia , Italy
Wouter Tavernier, University of Ghent, Belgium
Weisi Guo, University of Warwick, UK
Kishor K. Nair, Council for Scientific and Industrial Research (CSIR),
Chun Tung Chou, University of South Wales, Sydney, Australia
Lakshmi Nair, Elenjical solutions, South Africa
Yuri Demchenko, University od Amsterdam, The Netherlands.
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