From the University Agenda

TUBITAK 1002 support for Lect. Tuğba Saray Çetinkaya's project!

Istanbul Gelisim Vocational School Lecturer Tuğba Saray Çetinkaya's project titled "IoT and Machine Learning Based System Design for the Estimation of Particulate Matter Density in the Air in the Hospital Environment" was entitled to receive support within the scope of TUBITAK 1002A Rapid Support Module.

In the project carried out by Istanbul University Cerrahpaşa, the density of particulate matter in the hospital environment will be measured with Internet of Things (IoT) applications and the parameters affecting this density will be determined. It is aimed to provide the most appropriate air quality level for patients by analyzing the obtained data with machine learning methods. In this study, project number 124E562, it is aimed to increase the air quality in the hospital environment.

This innovative system aims to improve the quality of healthcare services by reducing mobility in hospitals and the rate of unhealthy droplets in the air. Istanbul Gelisim Vocational School, Department of Information Security Technology lecturer Tuğba Saray Çetinkaya's project, was carried out under the consultancy of Dr. Sibel Senan.