Signal Processing and Communications Laboratory

Department of Engineering

Ramji Venkataramanan

Background - Research - Publications - Teaching - Group

Position: Professor of Information Engineering

Office Location: BE3-12

Telephone: 01223 766767 (If calling from outside the UK, replace the 0 with +44)

E-mail: ramji.v [at] eng.cam.ac.uk

(My last name is pronounced "Ven-cut-rum-uh-nun")

Background

I am Professor of Information Engineering at the University of Cambridge, and a Staff Fellow at Trinity Hall. I am part of the Signal Processing and Communications Lab in the Division of Information Engineering.

I received my PhD in Electrical Engineering from the University of Michigan, Ann Arbor in 2008, and my undergraduate degree from the Indian Institute of Technology, Madras in 2002. Before joining the University of Cambridge in 2013, I held post-doctoral positions at Stanford University and Yale University. I am 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.

Research

My research interests are broadly in statistical learning, information theory, and communications.

Publications

Preprints and recent papers

  • R. Venkataramanan, K. Koegler, and M. Mondelli, "Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing" [PDF]
  • M. Mondelli, R. Venkataramanan, "PCA Initialization for Approximate Message Passing in Rotationally Invariant Models", NeurIPS 2021 [PDF]
  • O. Feng, R. Venkataramanan, C. Rush, R. Samworth, "A unifying tutorial on Approximate Message Passing", to appear in Foundations and Trends on Machine Learning, 2022 [PDF]
  • K. Hsieh, C. Rush, and R. Venkataramanan, "Near-optimal coding for many-user multiple access channels", IEEE Journal on Selected Areas in Information Theory, 2022. [PDF]
  • M. Mondelli, R. Venkataramanan, "Approximate Message Passing with spectral initialization for generalized linear models", AISTATS 2021. [PDF]

For a complete list of publications, click here

Teaching

Michaelmas Term 2022: 3F7 Information Theory and Coding

Lent Term 2023: 2P6 Communications; 2CW Data Science Coursework

I am also a Director of Studies in Engineering at Trinity Hall.

Group

  • Xiaoqi (Shirley) Liu
  • Pablo Pascual-Cobo
  • Gabriel Arpino
  • Nelvin Tan

Past members:

  • Kuan Hsieh (PhD, graduated in 2021)
  • Mahed Abroshan (PhD, co-supervised with Prof. Albert Guillén i Fàbregas, graduated in 2019)
  • Adam Greig (PhD, graduated in 2018)
  • Lan V. Truong (Postdoc, 2020)
  • Pavan Srinath (Postdoc, 2015-18)