Research

Computer Sciences and Information Technology

Title :

AI predictive model of climate change based on chip-scale gas monitoring sensoring data

Area of research :

Computer Sciences and Information Technology

Focus area :

Climate Change

Principal Investigator :

Dr. Shailendra Kumar Varshney, Indian Institute of Technology (IIT) Kharagpur, West Bengal (721302)

Timeline Start Year :

2024

Timeline End Year :

2026

Contact info :

Details

Executive Summary :

Air pollution is a global issue affecting the environment and human life. It is caused by factors such as industrial advancements, urbanization, and human population growth. To combat this, an AI-based predictive model is being developed to monitor airborne contaminants and detect pollutant content. The project aims to develop an interface between local sensors and metasurfaces for gas monitoring and an AI-based predictive model for pollution anticipation. The research focuses on designing on-chip metasurfaces for selective gas sensing, fabricating metasurfaces using focused ion beam techniques, and validating the interface operation. The project aims to create an ultrafast, real-time miniatures sensor platform for methane, nitrous oxide, and ammonia detection. The project involves knowledge of artificial intelligence techniques, materials science, nonlinear optics, laser engineering expertise, and vibrational spectroscopy. The project aims to develop an AI predictive model for climate change mitigation, allowing for early warning systems and reducing costs associated with monitoring airborne contaminants.

Total Budget (INR):

37,75,200

Organizations involved