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Section: Events
July 5-9, 2021
Location: Shenzhen, China
Section: Events
September 27-30, 2021
Location: Note: Location changed to--Virtual Conference
Postdoc in Computer Engineering formally based at the Department of Electrical Engineering
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=14602&rmlang=UK
Section: Publications & Resources
Three new Members-at-Large will take their seats on the IEEE Signal Processing Society Board of Governors beginning 1 January 2021 and will serve until 31 December 2023. Nine candidates competed for the three Member-at-Large positions. These successful candidates represent a broad spectrum of the IEEE Signal Processing Society.
Postdoctoral position in Mobile Sensing and Child Mental Health
Beckman Institute for Advanced Science & Technology
University of Illinois at Urbana-Champaign
Section: Publications & Resources
The potentials of using millimeter-wave (mmWave) frequency for future wireless cellular communication systems have motivated the study of large-scale antenna arrays for achieving highly directional beamforming. However, the conventional fully digital beamforming methods, which require one radio frequency (RF) chain per antenna element, are not viable for large-scale antenna arrays due to the high cost and high power consumption of RF chain components in high frequencies.
Section: Events
Date: November 19, 2020
Time: 10:00 AM EDT (New York Time)
Title: Hybrid Digital and Analog Beamforming
Design for Large-Scale Antenna Arrays
Registration | Full webinar details
Section: Events
Publication: IEEE Signal Processing Magazine
White Paper Due: December 5, 2020
Publication Date: January 2022
CFP Document
Section: Publications & Resources
Dr. Namrata Vaswani is the Anderlik Professor of Electrical and Computer Engineering at Iowa State University. She received a Ph.D. in 2004 from the University of Maryland, College Park, and a B.Tech. from the Indian Institute of Technology (IIT-Delhi) in India in 1999. Her research interests lie in data science, with a particular focus on statistical Machine Learning, Statistical Signal Processing, and Computer Vision.
Section: Publications & Resources
This issue brings to you our interview with Dr. Angshul Majumdar (M’2012, SM’2016), an associate professor at Indraprastha Institute of Information Technology, Delhi, India. He has co-authored more than 80 journal articles and 100 conference proceedings. He has authored two books - Compressed Sensing for Magnetic Resonance Image Reconstruction, published by Cambridge University Press (2015), and Compressed Sensing for Engineers, published by CRC Press (2019).
