[hpc-announce] CFP: CCGrid-Life 2019 - in conjunction with CCGrid 2019, May 14-17, Larnaca, Cyprus

[Dagmar Krefting]

#########################################################################
Workshop on Clusters, Clouds and Grids for Life Sciences
In conjunction with CCGrid 2019 - 19th IEEE/ACM International Symposium
on Cluster, Cloud and Grid Computing, May 14–17, 2019, Larnaca, Cyprus

Website: http://lsgc.org/ccgrid-life/

Key Dates:

Papers Due			Feb 24, 2019
Author Notifications            Mar 11, 2019
Camera Ready Papers Due         Mar 28, 2019
Conference                      May 14-17, 2019

########################################################################

# Call for Papers

Computational methods are nowadays ubiquitous in the field of
bioinformatics and biomedicine. Besides established fields like
molecular dynamics, genomics or neuroimaging, new emerging methods like
deep learning models rely heavily on large scale computational
resources. These new methods need to manage Tbytes or Pbytes of data
with large-scale structural and functional relationships, TFlops or
PFlops of computing power for simulating highly complex models, or
many-task processes and workflows for processing and analyzing data.
Today, many areas in Life Sciences are facing these challenges.
Distributed IT-systems such as Grids, Clouds, Fogs and Big Data
Environments are promising to address research, clinical and medical
research community requirements. They allow for significant reduction of
computational time for running large experiments and for speeding-up
development time for new algorithms. Furthermore, they can increase the
availability of new methods for the research community and reduce
barriers for large-scale multi-centric collaborations. However, specific
challenges in the employment of such systems for biomedical applications
- such as security, reliability and user-friendliness - often impede
straightforward adoption of existing solutions from other application
domains.

This workshop, that has been running for several years now, aims at
bringing together developers of bioinformatics and medical applications
and researchers in the field of distributed IT systems. It addresses
researchers who are already employing distributed infrastructure
techniques in biomedical applications as well as computer scientists
working in the field of distributed systems interested in bringing new
developments into the biomedical area. The goals of the workshop are to
exchange and discuss existing solutions and latest developments in both
fields, and to identify the remaining challenges. The workshop further
intends to identify common requirements to lead future developments in
collaboration between Life Sciences and Computing Sciences. It aims to
explore new ideas and approaches to successfully apply distributed
IT-systems in translational research, clinical intervention, and
decision-making.

# Topics of Interest

Contributions are expected but not restricted to the following topics:

    - Detailed application use-cases highlighting achievements and
roadblocks
    - Exploitation of distributed IT resources for Life Sciences,
HealthCare and research applications, for example medical imaging,
disease modeling, bioinformatics, Public health informatics, drug
discovery, clinical trials
    - Service and/or algorithm design and implementation applicable to
medical and bioinformatic applications. E.g. genomics as a service,
medical image as a service.
    - Improved energy consumption of bioinformatic applications using
clouds.
    - Modeling and simulation of complex biological processes
    - Genomics and Molecular Structure evolution and dynamics.
    - Big Medical and Bioinformatic Data applications and solutions.
    - Clouds for big data management in bioinformatics and medicine.
Data privacy, security and access control.
    - Biological data mining and visualization, including ontologies and
biomedical text mining
    - Machine Learning and Deep Learning experiences in Life Sciences
    - Programming paradigms and tools for bioinformatic applications
    - Scientific gateways and user environments targeting distributed
medical and bioinformatic applications
    - Interoperability for exchanging data, algorithms and analysis
pipelines

# Workshop Chairs
    - Jesus Carretero, University Carlos III of Madrid, Spain
    - Dagmar Krefting, University of Applied Sciences Berlin, Germany

# Special Issue

Extended versions of selected papers accepted and presented at
CCGrid-Life 2019,
after further revisions, will be published in a special issue of the journal
Future Generation Computer Systems (FGCS), impact factor: 4.639.

# Submission

Papers will be published in the IEEE CCGRID proceedings , thus
submission must be made through CCGRID submission system. Enter the
submission system and select the track  "Workshop on Clusters, Clouds
and Grids for Life Sciences”. All papers will be reviewed by at least 3
independent reviewers from the international program committee. Papers
will be selected based on their originality, their interest for the
research community, the quality of the use-case description, the
description of the technical solution, the impact of the application
and/or technical description and the status of the work. All papers
presented at the main conference and workshops of IEEE/ACM CCGrid 2019
will be submitted to IEEE Xplore for publication and EI indexing.

# Program Committee

    - Jesus Carretero, University Carlos III of Madrid, Spain
    - Silvina Caíno, University Carlos III of Madrid, Spain
    - Afonso Duarte, Instituto de Medicina Molecular, Portugal
    - Scott Emrich, University of Notre Dame, IN, USA
    - Alban Gaignard, CNRS, France
    - Javier Garcia Blas, University Carlos III of Madrid, Spain
    - Tristan Glatard, Concordia University, Montreal, Canada
    - Aaron Golden, National University of Ireland, Galway, Ireland
    - Horacio Gonzales-Velz, National College of Ireland, Ireland
    - Vladimir Korkhov, St. Petersburg State University, Russia
    - Dagmar Krefting, University of Applied Sciences Berlin, Germany
    - Ivan Merelli, Institute for Biomedical Technologies, Segrate, Italy
    - Arrate Munoz-Barrutia,Universidad Carlos III de Madrid,Spain
    - Kary Ocaña, National Laboratory of Scientific Computing, Brazil
    - Silvia D. Olabarriaga, AMC / University of Amsterdam, Netherlands
    - Esther Pacitti,LIRMM and INRIA, University of Montpellier 2, France
    - Isabelle Perseil, Inserm, France
    - Richard Sinnott, University of Melbourne, Australia
    - Gergely Sipos, EGI.eu, Netherlands
    - Bruno Schulze, LNCC, Brazil 	
    - Tram Truong-Huu, National University of Singapore, Singapore
    - Roel Wuyts, IMEC, Belgium
    - Daniel de Oliveira, Fluminense Federal University, Niterói, Brazil