Book Title:  

The Global Environmental Effects during and beyond COVID-19: Intelligent Computing Solutions 

Publication: Studies in Systems, Decision, and Control

https://www.springer.com/series/13304 

 Indexing to Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink

Recent advances in technology will play a significant role in tackling the COVID-19 pandemic to understand the virus and accelerating medical research on treatments and drugs, diagnose and detect this disease and predicting its evolution assist in preventing or slowing the virus' spread through surveillance and contact tracing, respond to the health crisis through personalized information and learning and finally monitor the recovery and improving early warning tools. While the pros and cons of COVID-19 on the environment are evident in the literature, the environment or climate has also significantly impacted COVID-19 transmission and deaths. COVID-19 has become a global epidemic. Its relationship to environmental factors is an issue that has caught the attention of scientists and governments.  Intelligent computing is playing a key role in better understanding and addressing the COVID-19 crisis and being used as a tool to support the fight against the viral pandemic that has affected the entire world since the beginning of 2020.  This editing book aims to collect chapters of using intelligent computing technologies in handling environment-related problems of COVID-18 in the following area: 

1. COVID-19 health Waste management.
2. The temperature and regional climate effects.
3. Food waste management.
4. Exploring the impacts of COVID-19 on oil and electricity demand.  
5. Landscape fire management.
6. Air and food pollutions.
7. Water quality management during/post-COVID-19.
8. Coronavirus and climate change-related conservation and disaster shock
9. Weather data and COVID-19 pandemic
10. Social Distancing and air quality
11. COVID-19 and carbon emissions and global warming
12. Fossil fuels during COVID-19.
13. Climate change adaptation and resilience during COVID-19.
14. Climate change governance, legislation and litigation.
15. Environmental policy evaluation.
16. International climate politics in the age of COVID-19.
17. Sustainable natural resources during COVID-19.
18. Covid-19 and Aviation.
19. Architects design COVID-19 mobile for underserved communities.
20. Effects on the renewable energy sector during COVID-19.
21. Sustainable housing in response to COVID-19 lifestyle changes. 

Submitted manuscripts should conform to the standard guidelines of the Springer book chapter format. Manuscripts must be prepared using Latex, or MS Word. Prospective authors should submit their manuscripts electronically  by  email through this email: [aboitcairo@cu.edu.eg, ashraf.darwish.eg@ieee.org] Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance before being accepted for publication. 

a. Submitted manuscripts should conform to the standard guidelines of the Springer book chapter format. Manuscripts must be prepared using Latex, or Word, and according to the Springer svmlt template that can be downloaded from the (link) and the Chapter should contain in between 20-25 pages. Manuscripts that do not follow the formatting rules will be ignored.   

b. There is no submission or publication fee 

c. Conference paper may be extended to be a chapter provided extension is more than 40% from the original conference paper 

d. Chapters not conforming to the guidelines mentioned above shall not be considered for review purpose 

The accepted contributions will be published in Studies in Computational Intelligence by Springer. 

The book publication schedule is as follows: 

Deadline for paper submission       : Jan 20, 2021

First round notification                : Jan. 30, 2021 

All questions about submissions should be emailed to the Volume Editors as given below: 

• Aboul Ella Hassanien, Cairo Univesrity, Egypt  

E-mail: aboitcairo@cu.edu.eg 

• Ashraf Darwish, Helwan University, Cairo, Egypt 

Email: ashraf.darwish.eg@ieee.org