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, machine learning, and (non-)convex optimization. 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) and field programmable gate arrays (FPGAs). We are jointly considering theory, algorithm, architecture, and hardware 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, analog-to-feature (A2F) conversion, and real-time signal and image processing applications. In all three fields, we rely on recent progress in graphical models, convex and non-convex optimization, machine learning, compressive sensing, and we develop novel theoretical results and computationally efficient algorithms.

September 22, 2017

6th journal paper accepted this year! New paper on joint data detection and channel estimation for large SIMO wireless systems to appear in the IEEE Transactions on Circuits and Systems-I: Regular Papers; preprint here!

August 31, 2017

New preprint on quantized precoding in massive MIMO-OFDM systems on arXiv: click here!

August 31, 2017

New journal paper on non-uniform wavelet (bandpass) sampling for radio-frequency (RF) feature extraction accepted for publication in the IEEE Transactions on Circuits and Systems I: Regular Papers.

August 10, 2017

The paper "Towards a Deeper Understanding of Training Quantized Neural Networks" with H. Li, S. De, Z. Xu, H. Samet, and T. Goldstein received the Google Best Student Paper Award at the ICML Workshop on Principled Approaches to Deep Learning.

July 27, 2017

New collaborative $500,000 NSF grant on decentralized baseband processing in massive MIMO wireless systems with Prof. Joseph R. Cavallaro from Rice University. See here for the details.

July 4, 2017

Journal paper on quantized precoding in massive MIMO systems accepted for publication in the IEEE Transactions on Communications: arXiv preprint.

July 3, 2017

Journal paper on a novel nonlinear machine learning model for educational data analysis accepted for publication in the IEEE Journal of Selected Topics in Signal Processing. Preprint here.

June 13, 2017

Paper on 1-bit precoding accepted for publication at GLOBECOM 2017: arXiv preprint.

June 13, 2017

Paper on phase retrieval without lifting via the PhaseMax program accepted to the 34th International Conference on Machine Learning (ICML): preprint here.

May 28, 2017

Two papers presented at the IEEE International Symposium on Circuits and Systems.

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).

April 7, 2017

Journal paper on throughput analysis in massive MIMO uplink accepted in the IEEE Transactions on Wireless Systems. preprint here

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!

See old news

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!

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!