I apologize for any cross-posting of this announcement.
                    1st International Workshop on 
     High Performance Computing Methods and Interdisciplinary Applications for
               Fighting the COVID-19 Pandemic (HPC4COVID-19))

                   held in conjunction with BIBM 2020
                           Seoul, S. Korea
                        December 16-19, 2020
                 EXTENDED DEADLINE: NOVEMBER 15th, 2020
                     * * * 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 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

The workshop will take place on December 16-19, 2020 (To Be Announced). The program is not available yet.


Please submit a full-length paper (up to 8 page IEEE 2-column format) through the BIBM-2019 Workshops submission system:


You can download the format instruction here:


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.

Nov. 15, 2020: Due date for full workshop papers submission 
Nov. 5, 2020: Notification of paper acceptance to authors 
Nov. 26, 2020: Camera-ready of accepted papers
Dec. 16-19, 2020: Workshops

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

- Mario Cannataro, University Magna Graecia of Catanzaro, Italy
- Giuseppe Agapito, University Magna Grĺcia 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

1.    Giuseppe, Agapito, University of Catanzaro, Italy
2.    Stefano, Beretta, San Raffaele Telethon Institute for Gene Therapy (TIGET), Italy
3.    Mario, Cannataro, University of Catanzaro, Italy
4.    Barbara, Calabrese, University of Catanzaro, Italy
5.    Mauro, Castelli, Universidade Nova de Lisboa, Portugal
6.    Attila, Csikasz-Nagy, King’s College London/Pázmány Péter Catholic University, United Kingdom
7.    Bhaskar, DasGupta, University of Illinois at Chicago, United States
8.    Riccardo, Dondi, University of Bergamo, Italy
9.    Ivo, Goncalves, University of Coimbra, Portugal
10.   Pawel, Gorecki, University of Warsaw, Poland
11.   Pietro Hiram, Guzzi, University of Catanzaro, Italy
12.   Marcelo, Lobosco, Federal University of Juiz de Fora, Brazil
13.   Wagner, Meira Jr., Universidade Federal de Minas Gerais, Brazil
14.   Ivan, Merelli, Institute for Biomedical Technologies-National Research Council, Italy
15.   Yuri, Pirola, University of Milano-Bicocca, Italy
16.   Ela, Pustulka-Hunt, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland
17.   Marinella, Sciortino, University of Palermo, Italy
18.   Martin, Swain, Aberystwyth University, Wales
19.   Leonardo, Trujillo, Instituto Tecnológico de Tijuana, United States
20.   Paolo, Trunfio, University of Calabria, Italy
21.   Pierangelo, Veltri, University of Catanzaro, Italy
22.   Rodrigo, Weber dos Santos, Federal University of Juiz de Fora, Brazil
23.   Italo, Zoppis, University Milano-Bicocca, Italy
24.   Chiara, Zucco, University of Catanzaro, Italy