World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
37967
World Ranking
3933
National Ranking
1865

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to sparsity-based signal processing and compressive sensing

Overview

Michael B. Wakin is affiliated with the Colorado School of Mines in the United States. Their research spans multiple areas within engineering and computer science, with a focus on signal processing and computational mechanics.

The scientist's work covers several specific subfields of study:

  • Computational Mechanics
  • Signal Processing
  • Artificial Intelligence
  • Geophysics
  • Computer Vision and Pattern Recognition

The main topics of research include:

  • Sparse and Compressive Sensing Techniques
  • Blind Source Separation Techniques
  • Seismic Imaging and Inversion Techniques
  • Quantum Information and Cryptography
  • Quantum Computing Algorithms and Architecture
  • Seismic Waves and Analysis
  • Microwave Imaging and Scattering Analysis

Frequent publication venues for Michael B. Wakin are:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • Signal Processing
  • IEEE Transactions on Information Theory
  • The Journal of the Acoustical Society of America

Recent notable papers include:

  • "Gridless DOA Estimation With Multiple Frequencies" (2023, IEEE Transactions on Signal Processing)
  • "The Global Optimization Geometry of Low-Rank Matrix Optimization" (2021, IEEE Transactions on Information Theory)
  • "The Global Geometry of Centralized and Distributed Low-rank Matrix Recovery Without Regularization" (2020, IEEE Signal Processing Letters)
  • "Adaptive Interference Cancellation Using Atomic Norm Minimization and Denoising" (2020, IEEE Antennas and Wireless Propagation Letters)
  • "Missing trace reconstruction for 2D land seismic data with randomized sparse sampling" (2021, Geophysics)

Michael B. Wakin has collaborated frequently with several co-authors, including:

  • Zhihui Zhu
  • Gongguo Tang
  • Zhen Qin
  • Zhexuan Gong
  • Shuang Li

In 2021, Michael B. Wakin was recognized as an IEEE Fellow for contributions to sparsity-based signal processing and compressive sensing.

Best Publications

  • An Introduction To Compressive Sampling

    E.J. Candes;M.B. Wakin

  • Enhancing Sparsity by Reweighted ℓ 1 Minimization

    Emmanuel J. Candès;Michael B. Wakin;Stephen P. Boyd

  • A Simple Proof of the Restricted Isometry Property for Random Matrices

    Richard G. Baraniuk;Mark A. Davenport;Ronald A. DeVore;Michael B. Wakin

  • Enhancing Sparsity by Reweighted L1 Minimization

    Emmanuel J. Candes;Michael B. Wakin;Stephen P. Boyd

  • A new compressive imaging camera architecture using optical-domain compression

    Dharmpal Takhar;Jason N. Laska;Michael B. Wakin;Marco F. Duarte

  • Signal Processing With Compressive Measurements

    M.A. Davenport;P.T. Boufounos;M.B. Wakin;R.G. Baraniuk

  • Distributed Compressed Sensing of Jointly Sparse Signals

    M.F. Duarte;S. Sarvotham;D. Baron;M.B. Wakin

  • Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property

    M A Davenport;M B Wakin

  • Analog-to-Information Conversion via Random Demodulation

    Sami Kirolos;Jason Laska;Michael Wakin;Marco Duarte

  • Random Projections of Smooth Manifolds

    Richard G. Baraniuk;Michael B. Wakin

  • An Architecture for Compressive Imaging

    Michael Wakin;Jason Laska;Marco Duarte;Dror Baron

  • Distributed Compressive Sensing

    Dror Baron;Marco F. Duarte;Michael B. Wakin;Shriram Sarvotham

  • Random Filters for Compressive Sampling and Reconstruction

    J.A. Tropp;M.B. Wakin;M.F. Duarte;D. Baron

  • An Introduction To Compressive Sampling [A sensing/sampling paradigm that goes against the common knowledge in data acquisition]

    Emmanuel J. Candès;Michael B. Wakin

  • The smashed filter for compressive classification and target recognition

    Mark A. Davenport;Marco F. Duarte;Michael B. Wakin;Jason N. Laska

  • Compressive imaging for video representation and coding

    Michael B. Wakin;Jason N. Laska;Marco F. Duarte;Dror Baron

  • Sparse Signal Detection from Incoherent Projections

    M.F. Duarte;M.A. Davenport;M.B. Wakin;R.G. Baraniuk

  • Method and apparatus for distributed compressed sensing

    Richard G. Baraniuk;Dror Z. Baron;Marco F. Duarte;Shriram Sarvotham

  • Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective

    Richard G Baraniuk;Volkan Cevher;Michael B Wakin

  • A multiscale framework for Compressive Sensing of video

    Jae Young Park;Michael B. Wakin

Frequent Co-Authors

Richard G. Baraniuk
Richard G. Baraniuk Rice University
Marco F. Duarte
Marco F. Duarte University of Massachusetts Amherst
Mark A. Davenport
Mark A. Davenport Georgia Institute of Technology
Justin Romberg
Justin Romberg Georgia Institute of Technology
Emmanuel J. Candès
Emmanuel J. Candès Stanford University
Rachel Ward
Rachel Ward The University of Texas at Austin
Anna C. Gilbert
Anna C. Gilbert Yale University
Volkan Cevher
Volkan Cevher École Polytechnique Fédérale de Lausanne
Marcelo Godoy Simões
Marcelo Godoy Simões University of Vaasa
Kameshwar Poolla
Kameshwar Poolla University of California, Berkeley

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

With a degree in Computer Science, there are many complementary and alternative online study options to consider in the USA. For those interested in digital security, online cybersecurity degree programs can open doors to careers in protecting networks, data, and systems across industries. These programs often overlap with core computer science skills while focusing on advanced security topics.

If management and technology appeal to you, the cheapest construction management degree paths also include digital project management techniques and tech-driven workflows crucial for modern infrastructure projects.

Computer Science skills are increasingly valuable in the world of justice and law enforcement. Pursuing an online criminal justice degree may lead to technology-focused roles in forensics, cybercrime investigation, and legal analytics.

Additionally, for aspiring professionals in business and finance, accounting classes online are a cost-effective pathway to develop expertise in data-driven decision-making and financial technologies. Each of these related degree options can help you build a specialized, rewarding career linked to Computer Science.

Best Scientists Citing Michael B. Wakin

Trending Scientists