Prof. Nadakuditi particularly enjoys using random matrix theory to address problems that arise in statistical signal processing. An important component of his work is applying it in real-world settings to tease out low-level signals from sensor, oceanographic, financial and econometric time/frequency measurements/time series. In addition to the satisfaction derived from transforming the theory into practice, real-world settings give us insight into how the underlying techniques can be refined and/or made more robust.
Faculty
Raj Nadakuditi
Associate Professor, Electrical Engineering and Computer Science
Contact
7346150096
rajnrao@umich.edu
Website
Research
Research Areas
Computational and Informational ProcessingNumerical Analysis; Statistics and Stochastic Methods and Theories