Scholar

David Morales

Google Scholar ID: NbLA0BwAAAAJ

University of Granada — RyC Research Professor

Statistical Signal ProcessingRandom Matrix TheoryWireless Communications

Citations & Impact

All-time

Citations

1,340

H-index

i10-index

Publications

Co-authors

list available

Contact

Resume

Academic Achievements

Since February 2024, he has been a Senior Area Editor for IEEE Transactions on Signal Processing; honored with a 'Ramón y Cajal' (RyC) Fellowship and since March 2022, an RyC Research Professor at UGR; elected member of the Technical Committee on Signal Processing for Communications and Networking (SPCOM) of the IEEE Signal Processing Society since January 2020; published multiple papers, including 'IEEE TSP: Robust Linear Discriminant Analysis', 'Comms Magazine: The Road to 6G', and 'Bioinformatics: RocaSec, Robust Co-evolutionary Analysis of Proteins'.

Research Experience

He conducts research in statistical signal processing, focusing on random matrix theory (RMT) and high-dimensional statistics. His interests include: 1) robust estimation and detection solutions for challenges posed by growing dimensions in wireless networks (e.g., massive MIMO, IoT, large sensor networks), and 2) computational inference methods to understand the complex dynamics of biological systems such as HIV or HCV viruses. Collaborations are dynamic and involve renowned researchers from world-leading institutions, including the SPCB group led by Prof. Matthew McKay at HKUST and the University of Melbourne, Prof. Iain Johnstone at Stanford, and Prof. Kit Wong at UCL.

Education

Background

His main research activities lie within the broad area of statistical signal processing, with diverse multi-disciplinary applications to wireless communications and computational biology, among others. He is a 'Ramón y Cajal' Research Professor in the Department of Signal Theory, Networking and Communications at the University of Granada (UGR), Spain.

Miscellany