Full Name
Ramji Venkataramanan
Job Title
Professor of Information Engineering
Company
University of Cambridge
Speaker Bio
Ramji Venkataramanan is Professor of Information Engineering at the University of Cambridge, and a Staff Fellow at Trinity Hall. He received his PhD in Electrical Engineering from the University of Michigan, Ann Arbor in 2008, and his undergraduate degree from the Indian Institute of Technology, Madras in 2002. Before joining the University of Cambridge in 2013, he held post-doctoral positions at Stanford University and Yale University.
His research interests broadly in information theory, high-dimensional statistics, and statistical machine learning. He is an Associate Editor of the IEEE Transactions on Information Theory, and from 2018-21 was a Fellow at the Alan Turing Institute and an Associate Editor of the IEEE Transactions on Communications.
His research interests broadly in information theory, high-dimensional statistics, and statistical machine learning. He is an Associate Editor of the IEEE Transactions on Information Theory, and from 2018-21 was a Fellow at the Alan Turing Institute and an Associate Editor of the IEEE Transactions on Communications.
Speaking At
Abstract
Andrew Barron and Antony Joseph proposed sparse superposition codes, the first efficient, provably capacity-achieving scheme for communication over Gaussian noise channels. In this talk, I will describe how sparse superposition codes can be used for communication over many-user multiple access channels, where the number of users grows proportionally to the code length. I will show that with Approximate Message Passing (AMP) decoding, spatially-coupled sparse superposition codes achieve a near-optimal tradeoff between energy-per-bit and achievable user density, for a fixed target error rate.
