1st International Workshop on Data Science for Health Systems
In conjunction with the 11th International Conference on Ubiquitous and Future Networks

Final Extended Submission Deadlines

Paper due: April 30, 2019
Author Notification: May 10, 2019
Camera-ready due: May 15, 2019
Early Registration Deadline: May 17, 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 others.
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.

Technical Topics

  • Biomedical Data Management
  • Cloud usage for deploying and analyzing Biomedical Applications.
  • Cloud genomics.
  • 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 processing.
  • Simulation and emulation of biomedical processes
  • Combination of Data Science and Molecular Communication Systems
  • Scalability issues
  • 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 (http://www.icufn.org).

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.

Contact us:

Workshop Chairs:
Department of Engineering, University of Perugia.
Via G. Duranti, 93 06125 Perugia, Italy.
E-mail: gianluca.reali@unipg.it

Reza Malekian
Department of Computer Science and Media Technology, Malmö University, Sweden
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), South Africa
  • Chun Tung Chou, University of South Wales, Sydney, Australia
  • Lakshmi Nair, Elenjical solutions, South Africa
  • Yuri Demchenko, University od Amsterdam, The Netherlands.