World's Best Scientists 2026 revealed!
Moe Z. Win

Moe Z. Win

Award Badge
Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
100
Citations
48663
World Ranking
178
National Ranking
88

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2011 - IEEE Kiyo Tomiyasu Award “For fundamental contributions to highspeed reliable communications using optical and wireless channels”
  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - IEEE Eric E. Sumner Award “For pioneering contributions to ultra-wide band communications science and technology.”
  • 2004 - IEEE Fellow For contributions to wideband wireless transmission.

Overview

Moe Z. Win is affiliated with MIT in the United States. Their research spans multiple fields primarily within Engineering and Computer Science, with a focus on Electrical and Electronic Engineering, Artificial Intelligence, and Computer Networks and Communications. Secondary subfields include Atomic and Molecular Physics, and Optics, and Ocean Engineering.

The scientist's main research topics include:

  • Indoor and Outdoor Localization Technologies
  • Quantum Information and Cryptography
  • Quantum Computing Algorithms and Architecture
  • Distributed Sensor Networks and Detection Algorithms
  • Quantum Mechanics and Applications
  • Target Tracking and Data Fusion in Sensor Networks
  • Underwater Vehicles and Communication Systems

Recent publications by Moe Z. Win illustrate their research focus and include:

  • "Location Awareness in Beyond 5G Networks via Reconfigurable Intelligent Surfaces", 2022, IEEE Journal on Selected Areas in Communications
  • "Optimal Remote Entanglement Distribution", 2020, IEEE Journal on Selected Areas in Communications
  • "Location Awareness in Beyond 5G Networks", 2021, IEEE Communications Magazine
  • "Joint Communication and Localization in Millimeter Wave Networks", 2021, IEEE Journal of Selected Topics in Signal Processing
  • "Scalable Data Association for Extended Object Tracking", 2020, IEEE Transactions on Signal and Information Processing over Networks

Frequent co-authors collaborating with Moe Z. Win include:

  • Andrea Conti
  • Zhenyu Liu
  • Hyundong Shin
  • Sanjoy K. Mitter
  • Yuan Shen

Moe Z. Win's work has been published extensively in venues such as:

  • IEEE Journal on Selected Areas in Communications
  • arXiv (Cornell University)
  • IEEE Communications Magazine
  • IEEE Transactions on Wireless Communications
  • IEEE Journal of Selected Topics in Signal Processing

Awards received by Moe Z. Win include:

  • IEEE Kiyo Tomiyasu Award (2011) for fundamental contributions to highspeed reliable communications using optical and wireless channels
  • Fellow of the American Association for the Advancement of Science (AAAS) (2011)
  • IEEE Eric E. Sumner Award (2006) for pioneering contributions to ultra-wide band communications science and technology
  • IEEE Fellow (2004) for contributions to wideband wireless transmission

Best Publications

  • Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-access communications

    M.Z. Win;R.A. Scholtz

  • Impulse radio: how it works

    M.Z. Win;R.A. Scholtz

  • Cooperative Localization in Wireless Networks

    H. Wymeersch;J. Lien;M.Z. Win

  • Cooperative Communications with Outage-Optimal Opportunistic Relaying

    A. Bletsas;Hyundong Shin;M.Z. Win

  • The ultra-wide bandwidth indoor channel: from statistical model to simulations

    D. Cassioli;M.Z. Win;A.F. Molisch

  • MIMO systems with antenna selection

    A.F. Molisch;M.Z. Win

  • Ranging With Ultrawide Bandwidth Signals in Multipath Environments

    D. Dardari;A. Conti;U. Ferner;A. Giorgetti

  • Evaluation of an ultra-wide-band propagation channel

    R.J.-M. Cramer;R.A. Scholtz;M.Z. Win

  • Capacity of MIMO systems with antenna selection

    A.F. Molisch;M.Z. Win;Yang-Seok Choi;J.H. Winters

  • A Comprehensive Standardized Model for Ultrawideband Propagation Channels

    A.F. Molisch;D. Cassioli;Chia-Chin Chong;S. Emami

  • Analysis of hybrid selection/maximal-ratio combining in Rayleigh fading

    M.Z. Win;J.H. Winters

  • Fundamental Limits of Wideband Localization— Part I: A General Framework

    Yuan Shen;M Z Win

  • On the capacity of spatially correlated MIMO Rayleigh-fading channels

    M. Chiani;M.Z. Win;A. Zanella

  • Characterization of ultra-wide bandwidth wireless indoor channels: a communication-theoretic view

    M.Z. Win;R.A. Scholtz

  • On the robustness of ultra-wide bandwidth signals in dense multipath environments

    M.Z. Win;R.A. Scholtz

  • NLOS identification and mitigation for localization based on UWB experimental data

    Stefano Maranò;Wesley M Gifford;Henk Wymeersch;Moe Z Win

  • A Mathematical Theory of Network Interference and Its Applications

    M.Z. Win;P.C. Pinto;L.A. Shepp

  • On the energy capture of ultrawide bandwidth signals in dense multipath environments

    M.Z. Win;R.A. Scholtz

  • Fundamental Limits of Wideband Localization— Part II: Cooperative Networks

    Yuan Shen;H Wymeersch;M Z Win

  • Network localization and navigation via cooperation

    M Z Win;A Conti;S Mazuelas;Yuan Shen

  • Cooperative Localization in Wireless Networks In harsh environments where geographic positioning fails, communication between wireless nodes can be used to improve the accuracy of location information.

    Henk Wymeersch;Jaime Lien;Moe Z. Win

Frequent Co-Authors

Marco Chiani
Marco Chiani University of Bologna
Andrea Conti
Andrea Conti University of Ferrara
Hyundong Shin
Hyundong Shin Kyung Hee University
Tony Q. S. Quek
Tony Q. S. Quek Singapore University of Technology and Design
Davide Dardari
Davide Dardari University of Bologna
Jack Harriman Winters
Jack Harriman Winters Jack Winters Communications
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Robert A. Scholtz
Robert A. Scholtz University of Southern California
Ranjan K. Mallik
Ranjan K. Mallik Indian Institute of Technology Delhi
Henk Wymeersch
Henk Wymeersch Chalmers University of Technology

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