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
- Mixed-Mode Medical Imaging and Therapy 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
