Research Interests

Prof. Moghaddam’s research interests fall in the following general categories:

• Radar Remote Sensing Instruments, Techniques, and Quantitative Algorithms


• Advanced low frequency synthetic aperture radar system design for airborne and spaceborne platforms
• Low frequency physics-based radar processing algorithms
• Subsurface and subcanopy quantitative characterization
• Multifrequency SAR systems
• Multifrequency, polarimetric, SAR inverse scattering techniques
• Fusion of microwave and optical regime remote sensing data
• Forward and inverse electromagnetic modeling of complex media


• Smart Sensor Webs


• Integration of control system concepts in guiding sensor webs
• Integration of data assimilation and sensor data inversion models in design of sparse sensor webs


• Near-field Medical Imaging Techniques


• 3D electromagnetic inverse scattering for medical imaging
• 3D acoustic inverse scattering for medical imaging
• Integrated acoustic and microwave inversion
• Nonlinear time-domain inversion techniques and superresolution


• Near-field Imaging for Environmental Applications


• Non-contact methods for fresh water depth estimation
• River channel profile imaging using radar techniques


• Large-scale Products from Satellite Remote Sensing Data for Studies of the Global Environment


• Classification algorithms
• Time series analyses
• Quantitative estimation algorithms as follow-on to classification