CFC Springer Book: Computational Intelligence for COVID-19 and Future Pandemics - Emerging Applications and Strategies

[Dr. Utku Köse]

Dear Colleagues;

Call for Chapters for Fast Track Project

Computational Intelligence for COVID-19 and Future Pandemics - Emerging Applications and Strategies

Edited by Utku Kose, Junzo Watada, Omer Deperlioglu, Jose A. Marmolejo Saucedo 

to be published by Springer

COVID-19 is currently the most dangerous variation of the coronavirus as threating the humankind, accepted as the pandemic by the World Health Organization (WHO). Nowadays, there is not almost any country where issues regarding COVID-19 is not observed. With thousands of reported deaths and the cases more than that, the world is in an active war to eliminate that virus. In the past, such situation had already been experienced with important viruses such as Ebola, H1N1, and Influenza. However, the most devastating results within last two centuries may will be associated with the active COVID-19.

While the sub-fields medical as well as natural sciences have been working instantly on deriving solutions and trying to protect the humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, Computational Intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to effective intelligent, predictive techniques by the Computational Intelligence, it is possible to get positive results and introduce revolutionary solutions against the related medical diseases. By running effective capabilities of learning from samples, performing optimization oriented processes, and leading data analysis operations to even information discovery, Computational Intelligence is powerful with the Artificial Intelligence background as well as data analytics scope. Thanks to innovative and supportive technologies such as Deep Learning, Internet of Things, Big Data, there is a great interest in application potentials of the Computational Intelligence so that it will be an effective approach for taking the humankind more step away, after COVID-19 and also before future pandemics.

The main goal of this edited book is to provide the most recent research and innovative developments regarding the COVID-19 and future pandemics. In this context, the book aims to inform the target audience about the latest findings-results regarding a wide variety of Computational Intelligence applications for fighting COVID-19.

There is currently a great emergency state in all over the world and the scientific audience is looking for instant solutions and further works to eliminate all cases of COVID-19 problems and similar pandemics that may threaten the humankind in the future. Moving from that, the target audience currently looks for more idea about alternative applications of Computational Intelligence, by considering its alternative techniques, alternative findings with different perspectives, and also results of using the gathered every kind of data so far. Such applications can be done over data such as medical image, raw data, statistical findings, and even ongoing real-time rates in terms of active pandemic cases, deaths, treated people and potential components such as animals as the origin of such pandemics.

Submission Guidelines

All submissions should be done via EasyChair (https://easychair.org/conferences/?conf=bookciforcovid19) or by email to: 

utku...@gmail.com and / or junzo....@gmail.com and / or deper...@gmail.com and / or  jmarm...@up.edu.mx

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 Chapter Submission: 06 December 2020
• Final Revisions for the Accepted: 03 January 2021 
• (you may ask to utku...@gmail.com full chapter preparation documents. Please track this page for further updates regarding submission procedures.)

List of Topics (as not limited to)

• Image Processing for Computational Intelligence against COVID-19
• Geoprocessing / Tracking based Computational Intelligence for COVID-19
• Explainable Artificial Intelligence for COVID-19
• Computational Intelligence based diagnosis and / or treatment for COVID-19
• Public Safety oriented Computational Intelligence applications for COVID-19
• Internet of Health Things (IoHT) against COVID-19
• Big Data and Computational Intelligence for COVID-19
• New Data Models to be used by Computational Intelligence against COVID-19
• Predictive Computational Intelligence for future pandemics
• Vaccine / drug discovery with Computational Intelligence against COVID-19
• Intelligent optimization and Computational Intelligence for pandemics
• Reinforcement Computational Intelligence for pandemics precautions
• Managerial applications by Computational Intelligence for COVID-19 and pandemics
• ...etc.

Editors

• Utku Kose, PhD. (Suleyman Demirel University, Turkey)
• Junzo Watada, PhD. (Waseda University, Japan)
• Omer Deperlioglu, PhD. (Afyon Kocatepe University, Turkey)
• Jose A. Marmolejo Saucedo (Universidad Panamericana, Mexico)

Publication

'Computational Intelligence for COVID-19 and Future Pandemics - Emerging Applications and Strategies' will be published by Springer.

Contact

All questions about submissions should be emailed to: utku...@gmail.com