Contribution：

His expertise lies in integrating sensing technologies with UAVs, augmented by Machine Learning and Deep Learning techniques.  He has developed and patented prototype hardware and sensor technologies, along with accompanying software solutions.   His work has led to impactful innovations across multiple sectors, including mining, environmental and civil engineering, as well as the built environment. Dr. Banerjee has a strong track record of publishing in reputable journals and conferences and has been invited to speak at various academic, industrial, and governmental forums. He is working on research projects covering UAV-based sensing (hyperspectral, LiDAR and thermal),underground mobile laser scanning, image-based automated material characterization, mineautomation, and environment research.

Featured Publications：

1.Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR

2.A review of laser scanning for geological and geotechnical applications in underground mining

3.A Particle Swarm Optimization Based Approach to Pre-tune Programmable Hyperspectral Sensors

4.Automated structural discontinuity mapping in a rock face occluded by vegetation using mobile laser scanning

5.A robust approach to identify roof bolts in 3D point cloud data captured from a mobile laser scanner

Link：https://staffprofile.unisq.edu.au/Profile/Bikram-Banerjee