CIMP (COVID-19): Computational Intelligence for Managing Pandemics |
Submission link | https://easychair.org/conferences/?conf=cimpcovid192020 |
Abstract registration deadline | July 25, 2020 |
Submission deadline | September 15, 2020 |
Call for Chapter
Computational Intelligence for Managing Pandemics
Experiences from COVID-19
Edited by Aditya Khamparia, M. Rubaiyat Hossain Mondal, Prajoy Podder, Bharat Bhushan, Victor Hugo C. de Albuquerque, Sachin Kumar
to be published by De Gruyter
A number of pandemic of diseases have been recorded throughout human history. Some of the fatal pandemics are the Plague in the fourteenth century, the 1918 Influenza or Spanish Flue, and the ongoing Coronavirus Disease 2019 (COVID-19). Since December 2019, the COVID-19 pandemic has infected millions of people and killed thousands all over the world. In order to stop the spread of the disease, many countries have adopted lockdown measures disrupting normal life. The pandemic has put enormous pressure on the economy, the health system and the general public. Computational intelligence (CI) can help to combat the spread of COVID-19. Research in CI and its allied fields such as artificial intelligence, data science, big data, and data analytics are important in order to overcome the adverse effects of this pandemic. We cordially invite original book chapters focusing on the application of CI and its allied fields in managing different aspects of COVID-19 including modelling the disease spread, data-driven disease prediction, monitoring patients, identifying disease hotspots, and drug development. This book will be published rapidly.
Submission Guidelines
All submissions should be done by email to: aditya.khamparia88@gmail.com and/ or prajoykuet09@gmail.com
All papers must be original and not simultaneously submitted to another book project, journal or conference. The following important dates will be considered for the submissions:
- Full Paper Submission: 15.09.2020
- (you may ask to prajoykuet09@gmail.com for pre-proposal and details for full paper preparation)
List of Topics
The topics of interest include, but not limited to
(i) Data Mining for Clinical Data Analysis
(ii) COVID-19 Detection Using Deep Learning
(iii) COVID-19 Detection Using Machine Learning
(iv) Performance of Deep CNNs on COVID-19
(v) AI Methods in COVID-19 Related Data Collection, Processing and Visualization
(vi) IoMT for Giving Treatment in COVID-19 Affected Patient
(vii) Regression Analysis on COVID-19 Data
(viii) Intelligent Health Informatics for Handling the COVID-19 Situation
(ix) Cost Effective Ventilator Design for COVID-19 Affected People
(x) Role of Artificial Intelligence in Drug Design
(xi) Deep Learning for Analysis of COVID-19 Electronic Health Records
(xii) Fuzzy Naive Bayesian System for Medical Decision Support
(xiii) NLP in Medical Science
(xiv) Telemedicine
(xv) Data Driven Approaches for Effective Delivery of Treatment.
(xvi) Artificial Intelligence in Preventing Future Pandemics
Editors
- Aditya Khamparia, PhD. (Lovely Professional University, Punjab, India)
- M. Rubaiyat Hossain Mondal, PhD. (Bangladesh University of Engineering and Technology, Dhaka, Bangladesh)
- Prajoy Podder (Bangladesh University of Engineering and Technology, Dhaka, Bangladesh)
- Bharat Bhushan (HMRITM (GGSIPU), New Delhi, India)
- Victor Hugo C. de Albuquerque, PhD. (University of Fortaleza, Brasil)
- Sachin Kumar, PhD. (South Ural State University, Russia)
Publication
'Computational Intelligence for managing Pandemics' will be published by De Gruyter (Walter de Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, Germany).
Contact
All questions about submissions should be emailed to aditya.khamparia88@gmail.com or prajoykuet09@gmail.com