ECE Alum Nicholas Sidiropoulos (M.S. ’90 / Ph.D. ’92) Honored by IEEE

ECE Alum Nicholas Sidiropoulos has received the 2027 IEEE Fourier Award for Signal Processing for contributions to algebraic signal processing, tensor decomposition, and signal processing methods for analyzing complex data and identifying patterns in multiple dimensions.

Sidiropoulos is the Louis T. Rader Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia. From 2017 to 2021, he served as chair of that department. Prior to joining the University of Virginia, he served on the faculties of the University of Minnesota and the Technical University of Crete, Greece.

After receiving a diploma in electrical engineering from Aristotle University of Thessaloniki in Greece, h joined the University of Maryland, where he earned his M.S. in electrical engineering in 1990 and his Ph.D. in 1992. He was advised by Professor John Baras.

His research interests are focused on signal processing, communications, optimization, tensor decomposition and machine learning.

He is a Fellow of IEEE and a Fellow of the European Association for Signal Processing (EURASIP). In 2013, he was awarded a Distinguished Alumni Award from the UMD Department of Electrical and Computer Engineering.

“A very well-deserved honor for outstanding results and achievements in signal processing research and education,” says Professor Baras. “Professor Sidiropoulos’s work ranges from morphological processing, to signal and image understanding, innovative tensor processing, and innovative designs for wireless communications, and I wish him continued success!”

The IEEE Fourier Award is an IEEE Technical Field Award and is sponsored by Mitsubishi Electric Research Laboratories (MERL). IEEE Technical Field Awards recognize exceptional contributions across more than 30 fields of interest to IEEE, including artificial intelligence, robotics, semiconductor technology, wireless communications, biomedical engineering, internet infrastructure, sustainable energy, computer vision, and more. Recipients are nominated by their peers and approved by the IEEE Board of Directors after being selected by a committee of experts.