Coronal Mass Ejections (CMEs)
Morphology, three-dimensional configuration
Kinematics, expansion speed in orthogonal directions, deflections
Evolution in the interplanetary medium
Solar Flares
Chromospheric and coronal evolution
Morphology
Solar magnetic fields
Non-linear, Force-free extrapolations of photospheric fields
Scattering polarization
Earth Atmosphere
Atmospheric Opacity at mid-infrared wavelengths
Optical and near-infrared sky brightness and quality
Instrumentation for Solar Physics
Optical and infrared scientific cameras
Data reduction and calibration
High-cadence, ground-based spectropolarimetry
High-resolution ground and balloon-borne spectropolarimetry
Machine Learning for Solar Physics
We are actively looking for novel ways to apply ML to solve many challenging problems related to the topics listed above.
Deep Neural Networks (DNN's) for Solar data Segmentation
DNN's for Stokes polarimeter calibrations.