World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
35077
World Ranking
995
National Ranking
532

Research.com Recognitions

  • 2020 - SIAM Fellow For contributions to the mathematical foundations of signal processing and data science.
  • 1998 - IEEE Fellow For contributions to the theory and practice of statistical signal processing, particularly in estimation, detection, and imaging.

Overview

Alfred O. Hero is affiliated with the University of Michigan-Ann Arbor in the United States and has a substantial publication record in the field of computer science, with a focus on several interconnected subfields.

Their research primarily spans the areas of artificial intelligence, molecular biology, computational mechanics, statistics and probability, and signal processing. The scientist's main topical interests include sparse and compressive sensing techniques, adversarial robustness in machine learning, machine learning and algorithms, anomaly detection techniques and applications, stochastic gradient optimization techniques, random matrices and applications, and tensor decomposition and applications.

Alfred O. Hero has collaborated frequently with several co-authors:

  • Neophytos Charalambides
  • Mayank Baranwal
  • Mert Pilancı
  • Sijia Liu
  • Dogyoon Song

The scientist has published in a variety of venues, with a concentration in several key journals and repositories:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • IEEE Transactions on Signal Processing
  • IEEE Access
  • Harvard Data Science Review

Among notable recent publications are the following papers:

  • A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications, 2020, IEEE Signal Processing Magazine
  • Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data, 2022, The Astrophysical Journal
  • Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions, 2022, BMC Bioinformatics
  • Solar Flare Intensity Prediction With Machine Learning Models, 2020, Space Weather
  • Recurrent neural networks enable design of multifunctional synthetic human gut microbiome dynamics, 2022, eLife

Recognition for their professional contributions includes awards such as:

  • SIAM Fellow (2020) for contributions to the mathematical foundations of signal processing and data science
  • IEEE Fellow (1998) for contributions to the theory and practice of statistical signal processing, particularly in estimation, detection, and imaging

Best Publications

  • Locating the nodes: cooperative localization in wireless sensor networks

    N. Patwari;J.N. Ash;S. Kyperountas;A.O. Hero

  • Relative location estimation in wireless sensor networks

    N. Patwari;A.O. Hero;M. Perkins;N.S. Correal

  • Space-alternating generalized expectation-maximization algorithm

    J.A. Fessler;A.O. Hero

  • Sparse LMS for system identification

    Yilun Chen;Yuantao Gu;Alfred O. Hero

  • Distributed weighted-multidimensional scaling for node localization in sensor networks

    Jose A. Costa;Neal Patwari;Alfred O. Hero

  • Internet tomography

    A. Coates;A.O. Hero;R. Nowak;Bin Yu

  • Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms

    Nicolas Dobigeon;Jean-Yves Tourneret;Cedric Richard;Jose Carlos M. Bermudez

  • Shrinkage Algorithms for MMSE Covariance Estimation

    Yilun Chen;Ami Wiesel;Yonina C Eldar;Alfred O Hero

  • A Fast Spectral Method for Active 3D Shape Reconstruction

    Jia Li;Alfred O. Hero

  • Using proximity and quantized RSS for sensor localization in wireless networks

    Neal Patwari;Alfred O. Hero

  • Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery

    N. Dobigeon;S. Moussaoui;M. Coulon;J.-Y. Tourneret

  • Lower bounds for parametric estimation with constraints

    J.D. Gorman;A.O. Hero

  • Penalized maximum-likelihood image reconstruction using space-alternating generalized EM algorithms

    J.A. Fessler;A.O. Hero

  • Secure space-time communication

    A.O. Hero

  • Geodesic entropic graphs for dimension and entropy estimation in manifold learning

    J.A. Costa;A.O. Hero

  • Energy-based sensor network source localization via projection onto convex sets

    D. Blatt;A.O. Hero

  • A Convergent Incremental Gradient Method with a Constant Step Size

    Doron Blatt;Alfred O. Hero;Hillel Gauchman

  • Applications of entropic spanning graphs

    A.O. Hero;Bing Ma;O.J.J. Michel;J. Gorman

  • Locating the Nodes

    Neal Patwari;Joshua N. Ash;Spyros Kyperountas;Alfred O. Hero

  • Robust Shrinkage Estimation of High-Dimensional Covariance Matrices

    Yilun Chen;A. Wiesel;A. O. Hero

  • Foundations and Applications of Sensor Management

    Alfred Olivier Hero;David Castan;Doug Cochran;Keith Kastella

Frequent Co-Authors

Jeffrey A. Fessler
Jeffrey A. Fessler University of Michigan–Ann Arbor
Pin-Yu Chen
Pin-Yu Chen IBM (United States)
Sijia Liu
Sijia Liu Michigan State University
Ami Wiesel
Ami Wiesel Hebrew University of Jerusalem
Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Christopher W. Woods
Christopher W. Woods Duke University
Anand Swaroop
Anand Swaroop National Institutes of Health
Neal Patwari
Neal Patwari Washington University in St. Louis
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
Neal H. Clinthorne
Neal H. Clinthorne University of Michigan–Ann Arbor

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