-------- Ursprüngliche Nachricht -------- Von: Mostafa Fouda mostafafoda@HOTMAIL.COM Gesendet: 20. Juni 2020 18:22:12 MESZ An: tccc-announce@COMSOC.ORG Betreff: [TCCC-ANNOUNCE] CFA: IEEE IoT Magazine FT on Smart IoT Solutions for Combating COVID-19 Pandemic

[Apologies if you got multiple copies of this invitation]

Call for Articles

IEEE Internet of Things Magazine Special Issue on "Smart IoT Solutions for Combating COVID-19 Pandemic" https://www.comsoc.org/publications/magazines/ieee-internet-things-magazine/...

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The recent surge of COVID-19 pandemic has affected all spheres of our daily life. While virologists are desperately seeking solutions for an early vaccine, a cross-disciplinary approach has become of paramount importance to develop adequate monitoring, contact tracing, and diagnosing/detecting COVID-19 patients. This Feature Topic (FT) aims to encourage researchers and practitioners from both industry and academia, active in the Internet of Things (IoT) domain, to explore the state-of-the-art and out-of-the-box IoT solutions to combat the COVID-19 pandemic by incorporating IoT-based smart solutions. Such solutions can range from IoT-based industrial production of ventilation units, masks and other medical equipment to monitoring patient conditions at hospitals or self-isolation at home in a secure manner, developing new techniques for passive, privacy-preserving contact-tracing techniques, and diagnosing the COVID-19 conditions based on IoT and mobile phone data collection and analytics, to smart Point-of-Care (POC) development not limited to the current gold standard of Reverse Transcription Polymerase Chain Reaction (RT-PCR) testing kits. Even as we continue to struggle to contain the current COVID-19 pandemic, the second wave of this life-threatening disease is looming on the horizon. Therefore, to fully prepare ourselves to combat COVID-19, researchers from all areas, including Information and Communications Technology (ICT) and IoT, need to provide the cutting-edge solutions to address these challenges in an efficient yet pragmatic manner.

This Feature Topic (FT) is soliciting original technical papers addressing the main research challenges in the direction of IoT-based COVID-19 monitoring and detection and relevant applications, including, but not being limited to the following topics:

- Smart and energy-efficient sensor design for collecting COVID-19 symptoms - Emerging applications of IoT-based home monitoring for COVID-19 patients - Reliable and secure/privacy-preserving contact tracing applications using IoT - Edge computing for COVID-19 analytics - Distributed contact tracing for neighborhoods using IoT - Cloud-managed IoT services for COVID-19 social data mining for mobility pattern detection - Cellular density/broadcast utilization for COVID-19 spread monitoring - Industrial IoT devices for reliable production of healthcare equipment for combating COVID-19 patients - Protecting supply chain during COVID-19 using IoT - Point-of-Care (POC) platform design using IoT sensors to combat COVID-19 - AI (deep learning/machine learning) based analytics on smart sensors and POC platforms to detect COVID-19 with high sensitivity - Internet of Medical Things (IoMT) ecosystem design for combating the second/future wave of COVID-19 - Software-Defined Networking (SDN)-assisted IoT for detecting COVID-19 breach in neighborhoods and hospitals - Use cases of IoT networks/systems for combating COVID-19 - Device-to-Device (D2D) communications for combating COVID-19 and other pandemics during humanitarian missions (i.e., in warzones, disaster-affected areas, etc) - Security, privacy, and trust management for IoT-based monitoring, detecting, contact-tracing of COVID-19 - Stress monitoring for mental wellbeing tracking during self-isolation and/or lockdown situations - Chronic patient monitoring and early warning systems using IoT for optimal scheduling of patients - Validation using simulation, clinical trials with IoT sensors/wearables and/or testbeds

Submission Guidelines

Manuscripts should conform to the standard format as indicated in the Information for Authors section of the Article Submission Guidelines ( https://publications/magazines/ieee-internet-things-magazine/article-submiss... ).

All manuscripts to be considered for publication must be submitted by the deadline through Manuscript Central (https://mc.manuscriptcentral.com/iotmag). Select the “Smart IoT Solutions for Combating COVID-19 Pandemic” topic from the drop-down menu of Topic/Series titles.

Important Dates

Manuscript Submission Deadline: 15 July 2020 Initial Decision: 31 July 2020 Revised Manuscript Due: 31 August 2020 Publication Date: September 2020

Guest Editors

Zubair Md. Fadlullah Lakehead University, Canada Thunder Bay Regional Health Research Institute (TBRHRI), Canada

Mostafa M. Fouda Tennessee Technological University, TN, USA Benha University, Egypt

Al-Sakib Khan Pathan Independent University, Bangladesh

Nidal Nasser Alfaisal University, Kingdom of Saudi Arabia

Abderrahim Benslimane University of Avignon, France

Ying-Dar Lin National Chiao Tung University (NCTU), Taiwan

============================================== Smart IoT Solutions for Combating COVID-19 Pandemic | IEEE Communications Societyhttps://www.comsoc.org/publications/magazines/ieee-internet-things-magazine/cfp/smart-iot-solutions-combating-covid-19 This Feature Topic (FT) is soliciting original technical papers addressing the main research challenges in the direction of IoT-based COVID-19 monitoring and detection and relevant applications. www.comsoc.org

Best regards Mostafa Fouda

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