Random Matrix Theory | ISL | Information Science Lab

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About research group

Professor Al-Naffouri's research interests lie in the areas of adaptive, sparse and statistical signal processing and their applications. These applications include communications, ultrawideband and ultrasound-based localization and tracking. His research also extends to the design and analysis of wireless networks.

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Lama Burhan Niyazi

PhD Student, Electrical and Computer Engineering

KAUST CEMSE EE ISL Khalil Elkhalil

Khalil Elkhalil

PhD Student, Electrical and Computer Engineering

Mohamed A Suliman

Master Degree, Information Science Lab

Xiaoke Yang

Master Degree, Information Science Lab

KAUST CEMSE EE PhD Dissertation Defense Khalil Elkhalil

Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

Khalil Elkhalil

Monday, June 24, 09:00

- 10:00

Building 1, Level 4, Room 4214

PhD Dissertation Defense

ISL Student Khalil ElKhalil does internship at Duke University

3 years 7 months ago

Measurement Selection: A Random Matrix Theory Approach

Measurement Selection: A Random Matrix Theory Approach

3 years 9 months ago