Christoph Studer

VLSI Information Processing (VIP) Group

Asst Prof. Christoph Studer

Computer Systems Laboratory (CSL)
School of Electrical and Computer Engineering
Cornell University

Address: 331 Rhodes Hall, Cornell University, Ithaca, NY 14853, USA
Phone: (607) 255-8218
E-mail: studer at cornell dot edu



The research of the VLSI Information Processing (VIP) group is at the intersection of digital very-large scale integration (VLSI) circuit and system design, wireless communication, as well as signal and image processing. Our main focus is on integrating computationally complex algorithms into efficient (in terms of power consumption, throughput, and silicon area) application specific integrated circuits (ASICs). We are jointly considering theory, algorithm, architecture, and VLSI implementation aspects, which enables far more efficient solutions than a conventional, atomistic VLSI design approach that solely focuses on architecture and circuit design. Our current research focus is on theory, algorithms, and VLSI circuits and systems for massive (or large-scale) multi-user multiple-input multiple-output (MU-MIMO) wireless systems, real-time signal and image processing applications, as well as analog-to-information (A2I) converters. In all three fields, we rely on recent progress in graphical models, convex and non-convex optimization, compressive sensing, machine learning, and develop novel theoretical results and computationally efficient algorithms.

May 8, 2017

Paper on decentralized data detection in massive MU-MIMO systems accepted to the 2017 IEEE Symposium on Information Theory (ISIT): arXiv preprint

May 8, 2017

Paper on optimally-tuned nonparametric equalization in massive MU-MIMO systems accepted to the 2017 IEEE Symposium on Information Theory (ISIT): arXiv preprint

April 10, 2017

New paper on 1-bit precoding in massive multi-user MIMO orthogonal frequency-division multiplexing (OFDM) systems submitted: arXiv preprint.

April 10, 2017

Conference paper on joint assessment and peer grading appeared in the Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17).

March 25, 2017

Journal paper on the throughput analysis of massive MIMO systems with low-precision analog-to-digital converters accepted to the IEEE Transactions on Wireless Communications.

March 25, 2017

Journal paper on high-resolution imaging and secure communication with ultra wide-band technology in the IEEE Transactions on Microwave Technology.

February 20, 2017

Prof. Christoph Studer's NSF CAREER proposal on hardware-accelerated Bayesian inference was awarded for funding. See here for more details!

February 15, 2017

New paper on decentralized baseband processing for massive MIMO systems submitted to a journal; arXiv preprint available here.

February 13, 2017

New paper on a VLSI design for 1-bit precoding submitted to a journal; arXiv preprint available here.

January 11, 2017

Feature article in the January issue of the IEEE Signal Processing Magazine on "Compressive Video Sensing". Download the full paper here!

January 4, 2017

PhaseMax: A novel convex method for phase retrieval that avoids lifting. Go here!

See old news

November 15, 2016

Prof. Christoph Studer received a Michael Tien ’72 Excellence in Teaching Award. The Excellence in Teaching Awards are the highest recognition for teaching awarded by the College of Engineering.

July 30, 2016

The VIP group welcomes two new Ph.D. students: Oscar Castañeda and Emre Gonultas!

July 27, 2016

Igor Labutov successfully defended his Ph.D. thesis "Machine Learning Methods for Machine Teaching."

July 27, 2016

Igor Labutov received the best Student paper Award on "Calibrated Self-Assessment” at the 9th International Conference on Educational Data Mining (EDM).

June 10, 2015

New numerical solvers for computing democratic representations via l-infinity norm minimization. Go here!

May. 7, 2015

Chengxiang Ren and Jeffrey Huang won the 2nd place at the ECE M.Eng. student poster presentation for their project entitled "Computational Hexaphonic Guitar."

Jan. 11, 2015

Brand new, easy-to-use, flexible, and fast numerical solver package of forward-backward splitting. Solves problems like sparse recovery, logistic regression, phase retrieval, low-rank matrix completion, democratic representations, multiple measurement-vector (MMV) problems, and many more. Go here!

Sep. 23, 2014

Prof. Studer was elevated to the grade of IEEE Senior member.

June 15, 2014

New, very simple MIMO simulator online (and all the other simulators too). Go here!