Sparse Signal Recovery

Laurent Jacques

Université catholique de Louvain

Post-Doc

ICTEAM Department

Compressed Sensing, Image Deblurring and Restoration, Inverse Problems, and Signal Processing

Thong Do

Johns Hopkins University

Alumnus

Electrical and Computer Engineering Department

Compressed Sensing, Facial Recognition, Image and Video Compression, and Sparse Signal Recovery

Thomas Arildsen

Aalborg University

Post-Doc

Electronic Systems Department

Compressed Sensing, Signal processing for communication, Sparse Signal Recovery, and Signal Processing

Guan Gui

University of Electronic Science and Technology of China

Graduate Student

School of Communication and Information Engineering

Communication Engineering, Compressed Sensing, Compressive Sensing, and Electrical Engineering

Mai Le

University of Michigan

Graduate Student

Electrical Engineering : Systems Department

Classification (Machine Learning), Compressed Sensing, Computed Tomography, and Computer Vision

Carlos Ramirez

University of Texas at El Paso (UTEP)

Graduate Student

Mathematics Department

Applied Mathematics, Compressed Sensing, Convex Optimization, and Data-sparse representations

Zhilin Zhang

University of California, San Diego

Graduate Student

Electrical and Computer Engineering Department

Bayesian estimation, Biomedical Signals Analysis and modeling, Blind Source Separation, and Cognitive Psychology

Nicolas Cusseau

Ecole nationale supérieure d'ingénieurs (ENSTA-Bretagne)

Research Engineer

Ocean Sensing and Mapping Department

Acoustic Communication, Antennas, Convex Optimization, and Data Compression

Mojtaba Sahraee Ardakani

Sharif University of Technology

Graduate Student

Electrical Engineering Department

Electrical Engineering, Image Processing, Linear Algebra, and Sparse Signal Recovery

Edward Chitrahadi

University of Indonesia

Graduate Student

Computer Science Department

Multiband Signals, Fourier Analysis, Discrete Prolate Spheroidal Sequences, Block-sparsity, Greedy Algorithms, Sparse Signal Recovery, Approximation Theory, Sampling (Mathematical Statistics), Compressed Sensing, Sparsifying Dictionary Learning, Sparse Signal Recovery, and Sparse methods

sandeep devasrii

IIT Guwahati

Graduate Student

EEE Department

Compressive Sensing, Digital Signal Processing, Signal Processing and Compressive Sensing, and Sparse Signal Recovery

Jacek Pierzchlewski

Aalborg University

Graduate Student

Electronic Systems Department

Compressed Sensing, Computer Science, Information Science, and Signal Processing

Praveen Yenduri

University of Michigan

Graduate Student

Electrical Engineering : Systems Department

Compressed Sensing, Image Processing, and Sparse Signal Recovery

Mohammadreza Asadi

University of Tehran

Graduate Student

Electrical Engineering Department

Compressive Sensing, Digital Image Processing, Medical Imaging, and Sparse Signal Recovery

Timothy Anderton

University of Utah

Graduate Student

Physics and Astronomy Department

Astronomy & Astrophysics, Information Theory, Machine Learning, and Physics

shuai huang

Arizona State University

Graduate Student

Industrial Engineering Department

Aging, Alzheimer's Disease, Bioinformatics, and Biomedical informatics

savalan bakhshi

University of Tehran

Faculty Member

Electrical Engineering Department

Bioelectronics, Biotechnology, Communication Theory, and Compressive Sensing

Goran Marjanovic

The University of New South Wales

Department Member

Electrical Engineering and Telecommunications Department

Machine Learning, Sparse Bayesian Learning, Compressed Sensing, Sparse Signal Recovery, Multiple Measurement Vector (MMV), Temporal Correlation, Sparse Signal Recovery, and Statistical Signal Processing

Dave Zachariah

Royal Institute of Technology

Graduate Student

School of Electrical Engineering

Multi Sensor Data Fusion, Sparse Signal Recovery, and Statistical Distributions, Statistical Estimation, Multivariate Statistics

Benjamin Tremoulheac

University College London

Graduate Student

Centre for Medical Image Computing

Compressed Sensing, Computational Science, Inverse Problems, and Medical Imaging

Mohamad Tarifi

University of Florida

Graduate Student

Computer and Information Science and Engineering Department

Approximation Theory, Artificial General Intelligence, Artificial Intelligence, and Complexity Theory

Mehmet Akcakaya

Harvard University

Post-Doc

Harvard Medical School

Cardiac MR, Compressed Sensing, Image Reconstruction, and Magnetic Resonance Imaging
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