[hpc-announce] CFP: CCGrid-Life 2022 - Workshop on Clusters, Clouds and Grids computing for Life Sciences

[JESUS CARRETERO PEREZ]

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CCGrid-Life 2022 - Workshop on Clusters, Clouds and Grid Computing for Life
Sciences
In conjunction with CCGrid 22 - The 22nd IEEE/ACM International Symposium
on Cluster, Cloud and Internet Computing , May 16–19, 2022, Taormina, Italy

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

Key Dates:

Papers Due                      Feb 11, 2022
Author Notifications            Mar 04, 2022
Camera Ready Papers Due         Mar 18, 2022
Conference                      May 16-19, 2022

Special Issue: Future Generation Computer Systems (IF 7.1)

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# Call for Papers

Digital transformation is in full progression in worldwide healthcare and
life sciences, leading to creation, storage and processing of massive
amounts of health related data. Artificial intelligence and Big Data
Analytics have been established in bioinformatics and biomedical research
and are increasingly reaching healthcare with certified clinical decision
support systems and smart health apps. Besides stablished fields like
molecular dynamics, genomics or neuroimaging now many other medical domains
rely heavily on large scale computational resources.

The emerging 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 work-
flows for processing and analyzing data. On the other hand, they need to
provide interaction with highly distributed user landscapes, such as actors
of primary care, hospitals and increasingly the patient itself. Today, many
areas in Life Sciences are facing these challenges, such as biomodelling,
predictive models of disease and treatment, evolutionary biology, medical
biology, cell biology, biomedical image processing, biosignal sensoring or
computer-supported diagnosis.

This new situation demands appropriate IT-infrastructures, where biological
and medical data can be processed within an acceptable timespan - reaching
from minutes in health-care applications to days in large-scale research
projects. 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 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 Medical Center, Germany

# Submission

Authors are asked to prepare their manuscripts according to the IEEE
format for conference proceedings and to submit to
https://easychair.org/conferences/?conf=ccgridlife2022
Find further information on our website

# Special Issue

Contributions accepted for CCGrid-Life 2022 are invited to submit an
extended version to the Special Issue in Future Generation Computer
Systems (IF 7.1).

# Program Committee

- Jesus Carretero, University Carlos III of Madrid, Spain
- Vladimir Korkhov, St. Petersburg State University, Russia
- Scott Emrich, University of Tennessee, USA
- Julian Kunkel, GWDG and University of Göttingen, Germany
- Tram Truong-Huu, National University of Singapore, Singapore
- Kary Ocaña, National Laboratory of Scientific Computing, Brazil
- Alban Gaignard, CNRS, France
- Sandra Gesing, University of Illinois Chicago, IL, USA
- Dagmar Krefting, University Medical Center Göttingen, Germany
- Daniel de Oliveira, Fluminense Federal University, Niterói, Brazil
- Tristan Glatard, Concordia University, Montreal, Canada
- Afonso Duarte, Agency for Clinical Research and Biomedical Innovation,
Portugal
- Arrate Munoz-Barrutia Universidad Carlos III de Madrid, Spain
- Bruno Schulze LNCC/MCT, Brazil
- Ivan Merelli Institute for Biomedical Technologies - National Research
Council, Italy
- Silvia D. Olabarriaga, Amsterdam University Medical Centers, University
of Amsterdam, Netherlands

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Prof. Jesus Carretero
Computer Architecture Professor
Computer Science and Engineering Dep. University Carlos III of Madrid
Avda. Universidad 30,  28911 Leganes, Madrid, Spain

Email: jesus.carretero at uc3m.es
Tel: +34 916249458.  Fax: +34 916249129
Web: http://arcos.inf.uc3m.es/~jcarrete
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