Published in 4th IEEE Interdisciplinary Conference on Electrics and Computer

The stability and well-being of human societies and communities depend on having access to clean, safe water. The sustainability of our civilization rests on our ability to guarantee that the water bodies we utilize for domestic purposes, consumption, recreation, and agriculture are free of harmful contaminants. I am developing an innovative system that can detect abnormal contamination in surface water bodies in real time, specifically focusing on rural-urban interfaces. To ensure the viability of the cyber infrastructure, it is essential to thoroughly explore, test, and resolve any issues in the closed-loop system prior to its deployment. This involves establishing effective communication and coordination between sensors and cloud systems, particularly in response to incidents such as contamination caused by stormwater runoff or industrial waste. To achieve this, I proposed to develop an immersive simulation and modeling framework i.e., a digital twin that is targeted toward a specific application. The system facilitates the utilization of actual data from diverse water bodies and conducts data analysis through machine learning techniques.