IEEE International Conference on Communications
14-23 June 2021 // Virtual / Montreal
Connectivity – Security – Privacy

Call for Papers

Scope:

COVI-COM intends to leverage technological advancements and techniques in communications and AI to address disruptive, as well as regular challenges arising due to the global COVID-19 pandemic. The present-day world urgently needs resilient and sustainable solutions that can address the challenges arising out of the mandated need for periodic sanitization, intermittent quarantines and lockdowns, and social distancing. This workshop aims to mobilize the global communications and networking community for enabling long-term solutions for alleviating the social and economic constraints put in place to battle COVID-19 infections and arrest its spread. The impact of these solutions are projected to be long-term as with no definite cure or treatment in sight, human society is expected to adapt to the new social norms of intermittent lockdowns, quarantine, and social distancing. This workshop encourages the use of machine learning techniques, data mining, network science, communication technologies, and other similar technologies to counter the challenges arising out of the present COVID-19 pandemic.

Topics:

The workshop seeks original completed and unpublished work not currently under review by any other journal/magazine/conference. Topics of interest include, but are not limited to:

  • Path planning for transport and navigation.
  • Path planning for the people while avoiding hotspots.
  • Business and visit scheduling.
  • Big data analytics for COVID-19.
  • Social distancing solutions for public places, industries, etc.
  • Self-assessment techniques for COVID-19.
  • Machine learning techniques for tracking and predicting COVID-19 transmission.
  • Machine learning techniques for tracing contacts by COVID-19 patients.
  • IoT solutions for patient tracking and monitoring.
  • Computer vision for remote diagnosis of COVID-19.
  • Track runaway patients from quarantine facilities.
  • Computation offloading and resource management for timely results by resource-constrained devices.
  • Machine learning techniques for profiling the spread of COVID-19 in hospitals, public places, etc.
  • Hospital management using smart IoT solutions.
  • New datasets and corresponding benchmarks for analyzing COVID-19.
  • Security and privacy of healthcare data.
  • Privacy-preserving tracking and surveillance

Important Dates

  • Paper submission deadline: January 20, 2021 February 19, 2021 [FIRM]
  • Notification of acceptance: February 20, 2021 March 22, 2021
  • Camera-ready papers: March 1, 2021 March 31, 2021 8 April 2021 (FIRM)

 

Submission link

https://edas.info/N27513

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