Area of research
Artificial Intelligence · Mechanical Engineering
Research interest
Research interests include Geochemistry and Geologic Mapping, Mineral Processing and Grinding, Remote-Sensing Image Classification, and Soil Geostatistics and Mapping.
Remote sensing framework for geological mapping via stacked autoencoders and clustering
Multivariate statistical analysis and bespoke deviation network modeling for geochemical anomaly detection of rare earth elements
Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging
A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data
Integration of Selective Dimensionality Reduction Techniques for Mineral Exploration Using ASTER Satellite Data
Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models
Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data