World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
9791
World Ranking
3199
National Ranking
1195

Research.com Recognitions

  • 2013 - IEEE Dennis J. Picard Medal for Radar Technologies and Applications “For leadership and developments in fully adaptive radar, advanced space-time adaptive processing (STAP), knowledge-based signal processing, and waveform diversity.”

Overview

Michael C. Wicks is affiliated with the University of Dayton in the United States. Their research spans multiple disciplines within engineering and environmental science, contributing notably to fields such as aerospace engineering, environmental engineering, biomedical engineering, electrical and electronic engineering, and artificial intelligence.

Their scientific work covers a range of topics, with a significant focus on radar systems and signal processing technologies. The main topics addressed in their research include:

  • Advanced SAR Imaging Techniques
  • Microwave Imaging and Scattering Analysis
  • Radar Systems and Signal Processing
  • Urban Stormwater Management Solutions
  • Optical Systems and Laser Technology
  • Wireless Signal Modulation Classification
  • Hydrology and Watershed Management Studies

Several recent publications provide insight into the breadth of their interdisciplinary work. Selected papers include:

  • "Optimal linear filtering for weak target detection based on dyadic contrast function analysis in RFT" (2020, IET Radar Sonar & Navigation)
  • "Performance bounds for two-channel delay-doppler estimation using unknown waveforms" (2020, Signal Processing)
  • "Biofiltration's effect on removing pollutants in stormwater" (2022, Water e-Journal)
  • "Radar imaging using pseudo-coherent marine radar technology" (2020, IET Radar Sonar & Navigation)
  • ""Gully pit inserts" shown to reduce pollutants in stormwater" (2021, Water e-Journal)

Their publications have appeared most frequently in the following venues:

  • Water e-Journal
  • IET Radar Sonar & Navigation
  • Signal Processing

Frequent collaborators include Brad Dalrymple, Blake Allingham, Warren Jones, Muftah Akroush, and Sandeep Gogineni. These coauthors have been involved in multiple projects reflecting the scientist's interdisciplinary research interests.

Michael C. Wicks has contributed notably to engineering disciplines, with eight publications listed in engineering and five in environmental science. Subfields with multiple publications include aerospace engineering, environmental engineering, and biomedical engineering.

Recognition for their work includes the IEEE Dennis J. Picard Medal for Radar Technologies and Applications awarded in 2013 for leadership and developments in fully adaptive radar, advanced space-time adaptive processing (STAP), knowledge-based signal processing, and waveform diversity.

Best Publications

  • Frequency diverse array radars

    P. Antonik;M.C. Wicks;H.D. Griffiths;C.J. Baker

  • Radar Spectrum Engineering and Management: Technical and Regulatory Issues

    Hugh Griffiths;Lawrence Cohen;Simon Watts;Eric Mokole

  • Knowledge-Aided (Potentially Cognitive) Transmit Signal and Receive Filter Design in Signal-Dependent Clutter

    A. Aubry;A. DeMaio;A. Farina;M. Wicks

  • Smart Antennas

    T. K. Sarkar;Michael C. Wicks

  • A deterministic least-squares approach to space-time adaptive processing (STAP)

    Tapan Kumar Sarkar;Hong Wang;Sheeyun Park;R. Adve

  • Space-time adaptive processing: a knowledge-based perspective for airborne radar

    M.C. Wicks;M. Rangaswamy;R. Adve;T.B. Hale

  • Smart Antennas: Sarkar/Smart Antennas

    Tapan K. Sarkar;Michael C. Wicks;Magdalena Salazar-Palma;Robert J. Bonneau

  • Range-dependent beamforming using element level waveform diversity

    Paul Antonik;Michael C. Wicks;Hugh D. Griffiths;Christopher J. Baker

  • Radio Frequency Tomography for Tunnel Detection

    L. Lo Monte;D. Erricolo;F. Soldovieri;M.C. Wicks

  • Multi-mission multi-mode waveform diversity

    P. Antonik;M.C. Wicks;H.D. Griffiths;C.J. Baker

  • Improving practical space-time adaptive radar

    W.L. Melvin;M.C. Wicks

  • Knowledge-based radar signal and data processing: a tutorial review

    G.T. Capraro;A. Farina;H. Griffiths;M.C. Wicks

  • Forward-looking radar GMTI benefits using a linear frequency diverse array

    P. Baizert;T.B. Hale;M.A. Temple;M.C. Wicks

  • Co-designed radar-communication using linear frequency modulation waveform

    Michael J. Nowak;Zhiping Zhang;Yang Qu;Dimitri A. Dessources

  • Cognitive design of the receive filter and transmitted phase code in reverberating environment

    A. Aubry;A. De Maio;M. Piezzo;A. Farina

  • Transmission and Reception by Ultra-Wideband (UWB) Antennas

    D. Ghosh;A. De;M.C. Taylor;T.K. Sarkar

  • Assessment of multichannel airborne radar measurements for analysis and design of space-time processing architectures and algorithms

    W.L. Melvin;M.C. Wicks;R.D. Brown

  • Cognitive Radio Communications and Networking: Principles and Practice

    Robert C. Qiu;Zhen Hu;Husheng Li;Michael C. Wicks

  • Screening among Multivariate Normal Data

    Pinyuen Chen;William L. Melvin;Michael C. Wicks

  • Method and apparatus for a frequency diverse array

    Michael C. Wicks;Paul Antonik

  • Wavelet Applications in Engineering Electromagnetics

    Magdalena Salazar-Palma;Tapan Sarkar;Michael Wicks

Frequent Co-Authors

Robert C. Qiu
Robert C. Qiu Shanghai Jiao Tong University
Tapan K. Sarkar
Tapan K. Sarkar Syracuse University
Raviraj S. Adve
Raviraj S. Adve University of Toronto
Hugh Griffiths
Hugh Griffiths University College London
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Husheng Li
Husheng Li University of Tennessee at Knoxville
Braham Himed
Braham Himed United States Air Force Research Laboratory
Feng Lin
Feng Lin Wayne State University
Augusto Aubry
Augusto Aubry University of Naples Federico II
Antonio De Maio
Antonio De Maio University of Naples Federico II

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