Dr. Mahta Moghaddam

Professor

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Biography

Mahta Moghaddam received her B.S. degree (with highest distinction) from the University of Kansas in 1986, followed by an M.S. and Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1989 and 1991, respectively. She joined the Ming Hsieh Department of Electrical Engineering at USC in January 2012. Prior to this, from 1991 to 2003, she was part of the Radar Science Engineering Section at the Jet Propulsion Laboratory (JPL), California Institute of Technology, Pasadena. Dr. Moghaddam has introduced innovative approaches and algorithms for quantitative interpretation of multichannel radar imagery using analytical inverse scattering techniques applied to complex random media. She has developed quantitative approaches for multisensor data fusion, combining radar and optical remote sensing data for non-linear estimation of vegetation surface parameters. Dr. Moghaddam has also led the development of new radar instruments and measurement technologies for subsurface and subcanopy characterization. Her contributions to the field and her leadership as Vice Dean of Research and Director of various programs at USC exemplify her dedication to advancing research in electrical and computer engineering.

Research Interests

Experience

Ming Hsieh Chair, Distinguished Professor

2012-01-01 — Present

University of Southern California • Los Angeles, CA

Joined the Ming Hsieh Department of Electrical Engineering at USC.

Systems Engineer, Cassini Radar Science Chair JPL Team X

1991-01-01 — 2003-01-01

Jet Propulsion Laboratory • Pasadena, CA

Worked in the Radar Science Engineering Section.

Requirements for University of Southern California

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
GRE General
Prerequisites
Bachelor's degree in Engineering, Math, or Hard Science
Application Checklist
  • Online application
  • Official transcripts
  • Personal Statement
  • Resume/CV
  • Letters of Recommendation (not required for MS CS, but allowed)
Specialization Notes

GRE is NOT required for Master's applicants for 2025-2026.