World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
54
Citations
18608
World Ranking
2234
National Ranking
875

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Telecommunications
  • Algorithm

Akbar M. Sayeed mainly investigates MIMO, Communication channel, Wireless, Electronic engineering and Channel capacity. Akbar M. Sayeed has researched MIMO in several fields, including Beamforming, Spectral efficiency and Antenna array. His Communication channel study integrates concerns from other disciplines, such as Algorithm, Spatial correlation and Topology.

The Wireless study combines topics in areas such as Key generation, Cryptography and Wireless sensor network, Computer network. His Electronic engineering study focuses on Bandwidth in particular. His Channel capacity study combines topics from a wide range of disciplines, such as Degrees of freedom and Representation.

His most cited work include:

  • An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (1344 citations)
  • Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels (871 citations)
  • Detection, classification, and tracking of targets (850 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Communication channel, MIMO, Electronic engineering, Algorithm and Wireless. His Communication channel research incorporates elements of Transmitter and Topology. His studies in MIMO integrate themes in fields like Spatial correlation and Control theory.

His study ties his expertise on MIMO-OFDM together with the subject of Electronic engineering. As a part of the same scientific study, Akbar M. Sayeed usually deals with the Algorithm, concentrating on Time–frequency analysis and frequently concerns with Quadratic equation, Signal processing and Bilinear interpolation. His research in Wireless intersects with topics in Key generation, Wireless sensor network, Computer network, Reduction and Real-time computing.

He most often published in these fields:

  • Communication channel (50.44%)
  • MIMO (34.96%)
  • Electronic engineering (34.51%)

What were the highlights of his more recent work (between 2012-2020)?

  • Electronic engineering (34.51%)
  • MIMO (34.96%)
  • 3G MIMO (11.50%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Electronic engineering, MIMO, 3G MIMO, Spatial multiplexing and Beamforming. His Electronic engineering research is multidisciplinary, relying on both Interference, Antenna array and Aperture. His study in MIMO is interdisciplinary in nature, drawing from both Wireless, Phased array and Bandwidth.

The study incorporates disciplines such as Computer network, Signal processing, Bandwidth allocation and Gigabit in addition to Wireless. His Spatial multiplexing research incorporates themes from Multiplexing and Electrical engineering. His Communication channel research includes elements of Beamwidth, Algorithm, Data conversion and Wideband.

Between 2012 and 2020, his most popular works were:

  • An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (1344 citations)
  • Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements (538 citations)
  • Beamspace MIMO for high-dimensional multiuser communication at millimeter-wave frequencies (206 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Telecommunications
  • Artificial intelligence

His primary areas of study are MIMO, Electronic engineering, Spatial multiplexing, Multi-user MIMO and 3G MIMO. The concepts of his MIMO study are interwoven with issues in Beamforming and Bandwidth. His Bandwidth research is multidisciplinary, incorporating elements of Wireless and Communications system.

His Wireless study combines topics from a wide range of disciplines, such as Computer network and Spectral efficiency. His Spatial multiplexing research is multidisciplinary, relying on both Multiplexing and MIMO-OFDM. His Communication channel research is multidisciplinary, incorporating perspectives in Computational complexity theory, Communication complexity, Matched filter and Radar.

Best Publications

  • An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

    Robert W. Heath;Nuria Gonzalez-Prelcic;Sundeep Rangan;Wonil Roh

  • Detection, classification, and tracking of targets

    Dan Li;K.D. Wong;Yu Hen Hu;A.M. Sayeed

  • Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels

    Waheed U Bajwa;Jarvis Haupt;Akbar M Sayeed;Robert Nowak

  • Deconstructing multiantenna fading channels

    A.M. Sayeed

  • Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements

    John Brady;Nader Behdad;Akbar M. Sayeed

  • Distributed target classification and tracking in sensor networks

    R.R. Brooks;P. Ramanathan;A.M. Sayeed

  • Joint multipath-Doppler diversity in mobile wireless communications

    A.M. Sayeed;B. Aazhang

  • Compressive wireless sensing

    Waheed Bajwa;Jarvis Haupt;Akbar Sayeed;Robert Nowak

  • Detection, Classification and Tracking of Targets in Distributed Sensor Networks

    Dan Li;Kerry D. Wong;Yu H. Hu;Akbar M. Sayeed

  • Improved wavelet denoising via empirical Wiener filtering

    Sandeep P. Ghael;Akbar M. Sayeed;Richard G. Baraniuk

  • Transmit signal design for optimal estimation of correlated MIMO channels

    J.H. Kotecha;A.M. Sayeed

  • Beamspace MIMO for high-dimensional multiuser communication at millimeter-wave frequencies

    Akbar Sayeed;John Brady

  • Secure wireless communications: Secret keys through multipath

    A. Sayeed;A. Perrig

  • Systematic Codebook Designs for Quantized Beamforming in Correlated MIMO Channels

    V. Raghavan;R.W. Heath

  • Low RF-Complexity Technologies to Enable Millimeter-Wave MIMO with Large Antenna Array for 5G Wireless Communications

    Xinyu Gao;Linglong Dai;Akbar M. Sayeed

  • Channel estimation and precoder design for millimeter-wave communications: The sparse way

    Philip Schniter;Akbar Sayeed

  • Maximizing MIMO Capacity in Sparse Multipath With Reconfigurable Antenna Arrays

    A.M. Sayeed;V. Raghavan

  • Joint Source–Channel Communication for Distributed Estimation in Sensor Networks

    W. Bajwa;J. Haupt;A. Sayeed;R. Nowak

  • Experimental Study of MIMO Channel Statistics and Capacity via Virtual Channel Representation

    Yan Zhou;Markus Herdin;Akbar M. Sayeed;Ernst Bonek

  • Exploiting Channel Diversity in Secret Key Generation From Multipath Fading Randomness

    Yanpei Liu;S. C. Draper;A. M. Sayeed

Frequent Co-Authors

B.D. Van Veen
B.D. Van Veen University of Wisconsin–Madison
Venugopal V. Veeravalli
Venugopal V. Veeravalli University of Illinois at Urbana-Champaign
Behnaam Aazhang
Behnaam Aazhang Rice University
Jianzhong Zhang
Jianzhong Zhang Samsung (United States)
Linglong Dai
Linglong Dai Tsinghua University
Nader Behdad
Nader Behdad University of Wisconsin–Madison
Michail Matthaiou
Michail Matthaiou Queen's University Belfast
Lajos Hanzo
Lajos Hanzo University of Southampton
Yingbin Liang
Yingbin Liang The Ohio State University
Eko N. Onggosanusi
Eko N. Onggosanusi Samsung (United States)

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