2nd Annual IEEE International Workshop on
Novel Methods to Study COVID-19 Using Sensor Technology and Distributed Computing
The 19th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2023) will take place at the Coral Beach Hotel & Resort in Cyprus, at the Coral Bay near the city of Pafos.
The 2nd Annual Workshop on Novel Methods to Study COVID-19 Using Sensor Technology and Distributed Computing (C19:ST&DC 2023) will be held at the DCOSS-IoT 2023 conference in conjunction with other workshops that will cover several aspects of distributed computing in smartsystems.
Scope
This workshop will cover a number of aspects related to the COVID-19 pandemic. Topics of interest for C19:ST&DC include several novel methods used for COVID-19 detection using deep learning and distributed computing methods. Distributed computing has accelerated COVID-19 research in molecular dynamics as it allows people around the world to make their computers available to researchers for effective virtual screening of chemical compounds. Distributed computing encourages international collaboration and enables access to richer datasets.
Topics of Interest
Innovative machine learning and artificial intelligence techniques applied to chest CT and x-ray images to identify features of interest in COVID-19 patients, improve accuracy of diagnosis, identify illness severity, and study the spread and long-term effects
Wireless, non-invasive sensors for COVID-19 detection, including sensor technology that can detect COVID-19 infections, low-cost and portable devices for remote patient monitoring and virtual assessments, and other types of sensors for monitoring COVID-19
Innovative methods for improving accuracy, fast response time, multiplexing capabilities, multiple sensing modes, disposability, long shelf life, ease of use, cost-effectiveness, manufacturability, and autonomy
Legal, ethical, and privacy concerns surrounding sensor technology and associated data
Methods from nanotechnology and the Internet of things, as they are applicable to COVID-19 sensor technology
Informatics and standardization techniques for archiving multimodal data related to COVID-19
The need for large amounts of data for the relevant types of machine learning methods
Various metrics of quality control of imaging data
Web-based interactive data visualization platforms, user interfaces and graphical tools for integrated data processing to explore data, and access pipeline workflows
Distributed computing applied to COVID-19 for various types of data
Various types of distributed architectures, including clusters, grids, and clouds, that are being used to accelerate COVID-19 research
Workshop Chairs
Dominique Duncan, University of Southern California
Celina Alba, University of Southern California
We are looking forward to your submissions!
For questions regarding the C19:ST&DC workshop, please contact Celina Alba at calba@ini.usc.edu.