Dr. Cauligi Raghavendra

Professor

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Biography

Cauligi S. Raghavendra is a Professor in the Department of Electrical and Computer Engineering and the Thomas Lord Department of Computer Science at the University of Southern California (USC). He received his Doctoral Degree in Computer Science from the University of California, Los Angeles in 1982. His extensive career includes previous roles at the Boeing Chair in Computer Engineering at Washington State University and consultancy with notable companies such as Lucent Technologies and Bell Labs. Dr. Raghavendra's research focuses on parallel distributed computing, computer networks, and energy-efficient protocols for wireless sensor networks. He has contributed to the development of power aware communication algorithms and has directed multiple funded research projects at USC, including DARPA projects on Active Networks and Power Aware Computing. He has received several accolades, including the Distinguished Alumnus Award from the Indian Institute of Science and has been recognized as an IEEE Fellow. His editorial contributions include serving as Editor-in-Chief for the Cluster Computing Journal and co-editing a series on Network Theory Applications.

Research Interests

Experience

Professor

1982-01-01 — Present

University of Southern California • Los Angeles, CA

Full-time faculty member involved in teaching, research, and administrative duties.

Boeing Chair Professor

1992-01-01 — 1997-01-01

Washington State University • Pullman, WA

Led research projects in computer engineering.

Aerospace Consultant

1997-08-01 — 2001-01-01

Aerospace Corporation •

Conducted research on high performance networks.

Awards

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Distinguished Alumnus Award

2021-01-01
#

IEEE Fellow

1997-01-01
#

Presidential Young Investigator Award

1985-01-01
#

National Scholarship

1979-01-01

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.