3rd International Workshop on

High Performance Computing Methods and Interdisciplinary Applications for Fighting the COVID-19 Pandemic (HPC4COVID-19)

held in conjunction with IEEE BIBM 2022

Las Vegas, USA , December 6-7, 2022 --- Changsha, Hunan, China, December 7-8, 2022

http://ieeebibm.org/BIBM2022/


SUBMISSION DEADLINE EXTENDED: November 4th, 2022

CALL FOR PAPERS

The management of the COVID-19 pandemic presents several unprecedented challenges that regards a plurality of fields and that may benefit from advanced computing infrastructures and novel software pipelines, allowing the integration and exploitation of the increasing COVID-19 big data and enabling world-wide collaboration.

COVID-19 poses many challenges to several research and application fields: investigating the molecular basis of the disease, tracing of virus mutations, vaccines and drugs development, diagnostic and therapeutic strategies, ICUs management, healthcare logistic, large scale testing of people (e.g. to find diseased people. that must be treated or quarantined and already healed people that may return to work), large scale tracing of people movements and contacts, to reduce the spread of the virus, infectious disease modelling, epidemiology, public health, effects of pandemic at emotional and behaviour level, impact of pandemic on remote working, etc.

Each one of these challenges may benefit from advanced computing infrastructures and novel software pipelines, including bioinformatics for basic research, computer simulation for epidemiology and disease modelling, big data integration, e.g. for connecting disease data with environmental and climate data, mobile applications, wearable sensors to trace people or to collect health data, telemedicine infrastructures to collect health data and to remotely assist mild-symptoms COVID-19 patients, data science and data analytics solutions for the statistical and data mining analysis of data at several levels, including mood and sentiment analysis of long-time quarantined people as well as care givers and healthcare personnel that are having a uncommon working load and stress.

The goal of this workshop is to bring together computer and life scientists as well as medical doctors and policy makers, to present high-performance computing methods and interdisciplinary applications fighting the COVID-19 pandemic and discussing emerging and future directions in the computer-based management of pandemics.


Interest to the BIBM community

Bioinformatics and Biomedicine are two key disciplines that are having a big role in fighting the COVID-19 pandemic from basic research to interdisciplinary applications. The main motivation for the workshop is to represent the increasing role of HPC as well as of interdisciplinary applications for facing the COVID-19 pandemic in the context of bioinformatics and biomedicine research.

TOPICS OF INTEREST

Topics of interest include, but are not limited to, the following:

  • Computer-supported Public Health and COVID-19

  • Computer-supported Epidemiology and COVID-19

  • Computer-supported Virology and COVID-19

  • Electronic Health Records for COVID-19

  • Mathematical Modelling for COVID-19

  • Modelling and simulation of SARS-CoV-2 virus diffusion

  • Computing infrastructures for COVID-19 data collection, integration, sharing, and visualization

  • Distributed computing infrastructures for enabling COVID-19 collaborative research

  • Distributed computing methods for tracing and tracking COVID-19 patients and their contacts

  • Bioinformatics pipelines for SARS-CoV-2 virus data analysis (sequences, structures, interactions, infections mechanisms)

  • Bioinformatics pipelines for COVID-19 drugs and vaccines design

  • Data Science for COVID-19 clinical processes (diagnosis, treatment, prognosis, follow-up)

  • Telemedicine for remote support of COVID-19 patients (monitoring, diagnosis, treatment, follow-up, tele-presence)

  • Telemedicine Infrastructures and Sensors for collecting Public Health citizens data

  • Data Science for Public Health decision making

  • Computing Infrastructures for collecting quarantined citizen emotion data

  • Sentiment Analysis software pipelines for mood and emotion analysis during COVID-19 pandemic

  • Data Science for relating COVID-19 data with environmental, pollution and climate data

  • Network-based analysis for epidemics

PROGRAM

The workshop will take place on December 6-9, 2022 (To Be Announced). The program is not available yet.

PAPER SUBMISSION, REGISTRATION AND PUBLICATION

Please submit a full-length paper (up to 8 page IEEE 2-column format) through the BIBM-2022 Workshops submission system:

https://wi-lab.com/cyberchair/2022/bibm22/scripts/ws_submit.php

You can download the format instruction here:

http://www.ieee.org/conferences_events/conferences/publishing/templates.html

Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance.

IMPORTANT DATES

Nov 4, 2022: Due date for full workshop papers submission (Extended)

Nov 18, 2022: Notification of paper acceptance to authors (Extended)

Nov. 23, 2022: Camera-ready of accepted papers (Pls follow the URL for the camera-ready paper submission https://ieeebibm.org/BIBM2022/ )

Dec 6-9, 2022: Workshops

JOURNAL SPECIAL ISSUE

After of the workshop, we plan to invite the best papers of the workshop for a special issue of an international journal.

WORKSHOP ORGANIZERS

Mario Cannataro, University Magna Graecia of Catanzaro, Italy

Giuseppe Agapito, University Magna Græcia of Catanzaro, Italy

Mauro Castelli, NOVA IMS, Universidade Nova de Lisboa, Portugal

Riccardo Dondi, University of Bergamo, Italy

Rodrigo Weber dos Santos, Federal University of Juiz de Fora, Brazil

Italo Francesco Zoppis, University of Milano-Bicocca, Italy


PROGRAM COMMITTEE (TO BE CONFIRMED)

Giuseppe, Agapito, University of Catanzaro, Italy

Mario, Cannataro, University of Catanzaro, Italy

Barbara, Calabrese, University of Catanzaro, Italy

Mauro, Castelli, Universidade Nova de Lisboa, Portugal

Riccardo, Dondi, University of Bergamo, Italy

Marianna Milano, University of Catanzaro, Italy

Rodrigo, Weber dos Santos, Federal University of Juiz de Fora, Brazil

Marzia Settino, University of Catanzaro, Italy

Italo, Zoppis, University Milano-Bicocca, Italy

Chiara, Zucco, University of Catanzaro, Italy