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Swanson School’s Department of Electrical and Computer Engineering appoints Amro El-Jaroudi as Associate Chair

PITTSBURGH (May 22, 2017) … Recognizing his significant career experience at the University of Pittsburgh’s Swanson School of Engineering, Amro El-Jaroudi has been named Associate Chair of the Department of Electrical and Computer Engineering. An associate professor of electrical and computer engineering at Pitt since 1988, Dr. El-Jaroudi’s appointment was announced by Alan George, PhD, department chair.

In his role, Dr. El-Jaroudi will support the academic and research initiatives in the department, as well as help manage staff, programs, and resources.

“Amro brings the knowledge, wisdom, and experience to serve in this key role for our department,” Dr. George said. “He is well respected by his peers, colleagues, and students throughout the Swanson School and will contribute significantly to the operation and growth of our department.”

Dr. El-Jaroudi’s research interests include digital signal processing, and neural net algorithms, specifically with applications in speech analysis and recognition, spectral estimation, and filter design, which in all have attracted more than $3.9 million in research funding. He has authored or co-authored several dozen journal publications and book chapters.

At the Swanson School, he has developed courses in modern spectral estimation and digital filter design, and established the Real-Time Signal Processing Laboratory, which is dedicated to improving the design and problem solving experience in signal processing for juniors and senior undergraduates in electrical engineering. He is a recipient of the Swanson School’s Outstanding Educator Award (previously the Beitle-Veltri Memorial Award), and was named Outstanding Teacher in Electrical Engineering. Prior to his career at Pitt, he earned his bachelor’s, master’s, and PhD in electrical engineering from Northeastern University.   


Pictured above from left: Dr. Alan George with Dr. Amro El Jaroudi.

Contact: Paul Kovach