posted by user: lahby || 1719 views || tracked by 2 users: [display]

WCTCP 2020 : 1st International Workshop on Wireless Communication Technologies for Combating Pandemic

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/ucd.ac.ma/wctcp/
 
When Dec 12, 2020 - Dec 15, 2020
Where Shenzhen, China
Submission Deadline Sep 15, 2020
Notification Due Oct 15, 2020
Final Version Due Oct 30, 2020
Categories    wireless communication   e-health networking   pandemic   machine learning
 

Call For Papers

====================Scope===================================
In the recent time, Coronavirus Disease 2019 (COVID-19) has been declared a global pandemic impacting nearly 213 countries/territories and the number of confirmed cases around the world has reached over 11 million. With the exponential growth of number of infected people and rapid spread of the virus over different continents, the attitudes and behaviors concerning both private users and business users of various technologies have shifted due to the life under quarantine.

In this context, various wireless communication and positioning technologies are making a significant impact on critical roles of many services such as healthcare automation, E-education, E-Commerce, Industry, supply chain automation, etc. The objective of this workshop is to bring together researchers and practitioners to discuss how wireless communication technologies can combat COVID-19 or other pandemic through facilitating various services as mentioned.

Authors are invited to submit previously unpublished papers to this workshop. Topics include, but are not limited to:
====================Topic===================================
Machine Learning for COVID-19 or other pandemic
Deep Learning for COVID-19 or other pandemic
Big Data for COVID-19 or other pandemic
Blockchain technology for COVID-19 or other pandemic
IoT solutions for COVID-19 or other pandemic
Edge computing for COVID-19 or other pandemic
Software-Defined Networking (SDN) solutions for COVID-19 or other pandemic
5G for combating the COVID-19 or other pandemic
Telemedicine and mHealth solutions
Data mining of medical patient records
Internet of Medical Things (IoMT) for COVID-19 or other pandemic
Security and privacy issues
Cloud Computing Security for COVID-19 or other pandemic
Smart city for combating the COVID-19 or other pandemic
Data model for COVID-19 or other pandemic
Mobile technology solutions for COVID-19 or other pandemic
==============Submission Link==================
Prospective authors are invited to submit their papers using EDAS via the following link:

https://www.edas.info/newPaper.php?c=27143
=============Organizing Committee==============
- Mohamed LAHBY, University HASSAN II of Casablanca, Morocco, mlahby@gmail.com
- Khan Pathan, Independent University Bangladesh , spathan@ieee.org
- Abderrahim Sekkaki, University HASSAN II of Casablanca,Morocco, abderahim.sekkaki@univh2c.ma
- Halima Bensmail, Qatar Computing Research Institute-HBKU, Qatar, hbensmail@hbku.edu.qa

Related Resources

FAIML 2020-Ei Compendex & Scopus 2020   2020 2nd International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2020)
CTCCC--Scopus and Ei Compendex 2021   2021 The 2nd Communication Technologies and Cloud Computing Conference (CTCCC 2021)--Ei Compendex, Scopus
AICA 2020   O'Reilly AI Conference San Jose
COMSNETS 2021   13th International Conference on COMmunication Systems & NETworkS
WSPML 2020   2020 2nd International Workshop on Signal Processing and Machine Learning (WSPML 2020)
ICT4AWE 2021   7th International Conference on Information and Communication Technologies for Ageing Well and e-Health
ECIR 2021   European Conference on Information Retrieval
Springer--ICTCE--Scopus, Ei compendex 2020   Springer--2020 The 4th International Conference on Telecommunications and Communication Engineering (ICTCE 2020)--EI Compendex, Scopus
CTCCC--Scopus and Ei 2021   2021 The 2nd Communication Technologies and Cloud Computing Conference (CTCCC 2021)--Ei Compendex, Scopus
ICDM 2021   21th Industrial Conference on Data Mining