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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 some recent papers
- G. Arpino, R.Venkataramanan, "Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression", 2023. [PDF]
- Y. Zhang, M. Mondelli, R.Venkataramanan, "Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models", 2022. [PDF]
- X. Liu, R. Venkataramanan, "Sketching sparse low-rank matrices with near-optimal sample- and time-complexity", ISIT 2022. [PDF]
- R. Venkataramanan, K. Koegler, and M. Mondelli, "Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing", ICML 2022. [PDF]
- O. Feng, R. Venkataramanan, C. Rush, R. Samworth, "A unifying tutorial on Approximate Message Passing", Foundations and Trends in 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]
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
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)
