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 wireless communication, digital signal processing (DSP), and very-large-scale integration (VLSI) circuit and system design. Our main focus is on developing novel algorithms for applications demanding high throughput, low latency, and best solution quality, and integrating them into efficient (in terms of power consumption, throughput, and silicon area) application-specific integrated circuits (ASICs) and field-programmable gate arrays (FPGAs). To arrive at best-in-class hardware designs, we are jointly considering communication and information theory, signal processing, algorithm development, architecture design, and hardware implementation aspects, which enables far more efficient solutions than conventional, atomistic DSP or VLSI design approaches that solely focus on one of the two fields. Our current research focus is on theory, algorithms, and VLSI circuits for low-precision massive (or large-scale) multi-user multiple-input multiple-output (MU-MIMO) wireless systems, analog-to-feature (A2F) conversion for low-power signal classification, (non-)convex optimization for real-time signal recovery from nonlinear measurements (including phase retrieval problems), as well as machine learning in the realms of wireless system design. In all of these fields, we build upon recent progress in convex and non-convex optimization, sparse signal recovery and compressive sensing, graphical models, Bayesian inference, dimensionality reduction, and manifold learning.

December 4, 2018

New paper on feedforward architectures and GPU implementation for decentralized precoding in massive MU-MIMO systems. The paper was presented at the 52nd Annual Asilomar Conference Signals, Systems, and Computers 2018. preprint available here!

December 4, 2018

New paper on models and theory for massive MU-MIMO-OFDM systems with hardware impairments. The paper was presented at the 52nd Annual Asilomar Conference Signals, Systems, and Computers 2018. preprint available here!

November 5, 2018

Conference paper on detection in massive multiuser MIMO systems; preprint available here!

November 5, 2018

New journal paper on optimal data detection in massive multiuser MIMO systems; preprint available here!

October 29, 2018

Paper by Ph.D. students Kaipeng Li (Rice University) and Charles Jeon (Cornell University) on "Feedforward Architectures for Decentralized Precoding in Massive MU-MIMO Systems," was awarded 2nd place at the student paper contest of the 52nd Annual Asilomar Conference on Signals, Systems, and Computers.

September 27, 2018

Two of our undergraduate students, Maria Bobbett and Yirong Chen, received a research award from Cornell's Engineering Learning Initiatives (ELI). Maria will be working on parallel processing in associative memories and Yirong on radio-frequency spectrum sensing via deep neural networks.

September 19, 2018

New collaborative NSF Grant on "SPASS: Spatio-Spectral Sensing with Wideband Feature Extraction Arrays." Total funding is $641,999 for three years.

September 5, 2018

Two papers accepted at the 32nd Conference on Neural Information Processing Systems (NIPS); preprints will be available shortly.

August 21, 2018

Journal paper on channel charting has been accepted to IEEE Access. ArXiv preprint available here!

August 20, 2018

The VIP group welcomes three new Ph.D. students: Alexandra Gallyas Sanhueza, Seyed Hadi Mirfarshbafan, and Said Medjkouh!

August 14, 2018

New journal paper on decentralized equalization with feedforward architectures for massive multi-user MIMO systems; arXiv preprint available here!

July 16, 2018

New journal paper on a novel concept we call Channel Charting, which enables passive (unsupervised) user localization in multi-antenna wireless systems from channel-state information using dimensionality reduction and machine learning techniques. Conference version of the paper has been accepted at the IEEE Global Communications Conference (GLOBECOM). ArXiv preprint of the journal paper available here!

July 5, 2018

Paper on decentralized precoding for massive multiuser MIMO systems accepted at the 52nd Asilomar Conference on Signals, Systems, and Computers. ArXiv preprint available here!

June 22, 2018

Part of a large SRC center on terahertz multi-antenna communication: ``“ComSenTer: A Center for Converged TeraHertz Communications and Sensing.'' Total funding for the VLSI Information Processing Group is $1,015,835 for five years.

May 11, 2018

Paper on a novel linear spectral estimator that can be used (among many other applications) to compute initialization vectors for phase retrieval problems accepted at the 35th International Conference on Machine Learning (ICML). Preprint available here!

May 11, 2018

Paper that analyzes the estimation error for the Rasch model accepted at the 35th International Conference on Machine Learning (ICML). Preprint available here!

May 8, 2018

Two of our M.Eng. projects won a Cornell ECE M.Eng. best poster award. Congratulations to Doug Stiverson on his work "Parametric Channel Estimation for Multi-Antenna mmWave Communication," and to Suyao Liu and Xinyu Wang on their work on "DeepViz: Machine Learning Based Visualization."

April 5, 2018

New paper on targeted clean-label poisoning attacks on neural networks. Preprint available here!

March 1, 2018

Paper on a VLSI design for 3-bit constant modulus precoding in massive multi-user MIMO systems to be presented at the 2018 IEEE International Symposium on Circuits and Systems (ISCAS). Preprint available here!

February 24, 2018

Paper on 1-bit precoding for massive multi-user MIMO via branch-and-bound to be presented at the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Preprint available here!

February 21, 2018

Overview paper on quantized massive multi-user MIMO presented at the 2018 International Zurich Seminar on Information and Communication (IZS). Preprint available here!

February 14, 2018

Paper on millimeter wave (mmWave) channel estimation via atomic norm minimization presented at the IEEE Wireless Communications and Networking Conference (WCNC). ArXiv preprint available here!

January 25, 2018

Prof. Studer received an IEEE Wireless Communication Letters Exemplary Reviewer Award.

December 4, 2017

New paper on out-of-band (OOB) emissions in low-precision massive multi-user MIMO systems presented at the 2017 Asilomar Conference on Signals, Systems, and Computers; paper here!

December 2, 2017

10th journal paper in 2017. This invited paper deals with adaptive frequency-domain equalization for large MIMO systems and appeared in the Springer Journal of Signal Processing Systems. paper here!

November 29, 2017

New paper on nonparametric MMSE equalization in VLSI for massive multi-user MIMO systems at the 2017 Asilomar Conference on Signals, Systems, and Computers; paper here!

November 28, 2017

PhasePack: new software package to evaluate numerous phase retrieval algorithms with synthetic and real data. Download the software here and the arXiv paper here.

November 25, 2017

Another one: 9th journal paper accepted this year. The paper will appear in the IEEE Transactions on Information Theory and proposes a new convex method called PhaseMax for phase retrieval that is lifting-free and comes with sharp, nonasymptotic recovery guarantees. arXiv preprint available here!

November 15, 2017

One more: 8th journal paper accepted this year. The paper proposes the a decentralized architecture for baseband processing in massive MIMO systems and will appear in the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) special issue on "Advanced Baseband Processing Circuits and Systems for 5G Communications"; preprint available here!

November 7, 2017

7th journal paper accepted this year! The paper proposes the first VLSI designs for nonlinear 1-bit precoding in massive MIMO systems and will appear in the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) special issue on "Advanced Baseband Processing Circuits and Systems for 5G Communications"; preprint available here!

October 24, 2017

Siemens Healthineers has licensed a compressive sensing patent of Prof. Studer and collaborators from Rice University and Carnegie Mellon University that reduces long MRI scan times while maintaining high diagnostic quality; see the press release here!

October 19, 2017

New preprint on quantized constant envelope precoding in wideband massive multi-user MIMO systems that use orthogonal frequency-division multiplexing (OFDM); arXiv preprint here!

October 18, 2017

Finally! The popular "simple MIMO simulator" is now available in Julia and can be downloaded from GitHub: Download the simple MIMO simulator in Julia here!

October 5, 2017

Prof. Studer was a keynote speaker at the IEEE International Workshop on Signal Processing Systems (SIPS) on "Reliable Communication in Massive MIMO with Low-Precision Converters". Web-friendly slides can be found here!

See old news

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!

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!