Nairit Barkataki has been working on analysis and interpretation of GPR data using artificial intelligence since 2016. He and his team has developed various neural network models for detection of buried objects and the estimation of their sizes, shapes and materials. He is also working on the estimation of different soil properties as soil moisture and soil type in real time from GPR data. His team is also developing a prototype GPR system for research purposes. It’s purpose is to generate and transmit custom waveforms, use a variety of antennas across various frequencies, and process the GPR data on an FPGA platform in real time using AI models developed in-house.