I am a Ph.D. student in Computer Engineering at Arizona State University. My research interest is centered around problems that lie at the intersection of machine learning, statistical signal processing and remote sensing for applications in Earth and Space Sciences.
My research projects include adaptive modeling of multitemporal satellite images, unsupervised change detection from multispectral image time-series and human expert-guided scientific novelty detection in remotely sensed observations. In addition, I have also explored anomaly detection techniques as an intern at Los Alamos National Laboratory for detecting seismic anomalies and at the Jet Propulsion Laboratory for detecting spectral anomalies for the Europa Clipper mission.
I am interested in designing algorithms and tools to enhance the analysis and interpretation of satellite observations with applications in a wide range of studies such as modeling Earth system processes, planetary exploration and spatio-temporal mapping, change and natural hazard detection, post-disaster monitoring and response, geology, agriculture, ecosystem and biodiversity monitoring and its response to climate change, as well as mapping urban expansion and socio-economic trends.