Prediction, Analysis and Smart Mask based Social Distancing System for Corona Virus Disease (COVID-19)
Project start date: 08/06/2020, End date: 07/11/2020
As part of COVID-19 Research Program initiated by The Research Council (TRC) to study the developments in covid-19 pandemic, The board has approved 28 research projects for funding. The IT department, the university of technology and applied science received a funding to study and develop system to understand the pandemic. This work is collaboration with experts from royal hospital, Oman.
1) Develop a mathematical model with different parameters which fits the number of infected cases/death cases with respect to the available data in Oman.
2) Develop a machine learning model to develop and validate a clinical score that will identify potential admittance in an intensive care unit facility for a laboratory-confirmed SARS-CoV-2 case.
3) Develop a Smart mask which can detect the temperature and safe distance of nearby persons within 1m-2m.
Head, Mathematics Department-IT, UTAS-HCT
Statistician (IBM Certified Specialist - SPSS Statistics Level 1 v2)