Faculty Experts - Moeness Amin

Moeness Amin

Moeness Amin
Professor
Director, Center for Advanced Communications

Area of Expertise:

  • Array Signal Processing
  • Statistical Signal Processing
  • Wireless Communications
  • Radar Sensing and Imaging
  • Satellite Navigation
  • Time-Frequency Analysis

Summary

Dr. Amin is an internationally recognized expert who has made major contributions to the advances of the theory of signal and array processing with applications to radar, sonar, communications, satellite navigations, ultrasound, healthcare, and RFID. He has been the only academic representative to speak at several NATO conferences on through-the-wall radar imaging, which could have applications for search and rescue and law enforcement. As director of Villanova's Center for Advanced Communications, Dr. Amin participates in and oversees research in wireless communications that has global implications for radio, telephone, television and computer networks, merchandising services, data systems and personal communication devices. Innovations generated by the Center have important functions in both industry and government. The holder of two U.S. patents, Dr. Amin has over 700 journal and conference publications in the areas of wireless communication, time-frequency analysis, smart antennas, secure communications, interference cancellation in broadband communication platforms, anti-jam GPS, target tracking, direction finding, channel equalization and radar systems.

Dr. Amin and the Center for Advanced Communication are also exploring the use of radar imaging for monitoring the elderly living alone: Watch Video

Education

  • Ph.D., University of Colorado
  • M.S.E.E., University of Petroleum and Minerals, Saudi Arabia
  • B.S., Cairo University, Egypt

Selected Publications

  • M. G. Amin, Y. D. Zhang, F. Ahmad and K. Ho, "Radar Signal Processing for Elderly Fall Detection: The future for in-home monitoring," IEEE Signal Processing Magazine, vol. 33, no. 2, pp. 71-80, March 2016.
  • B. Jokanovic, M. G. Amin, Y. Zhang, and F. Ahmad, “Multi-window time-frequency signal reconstruction from undersampled continuous wave radar measurements for fall detection,” IET Radar, Sonar & Navigation, vol. 9, no. 2, pp. 173-183, February 2016.
  • M. G. Amin and Y. Zhang, “Nonstationary jammer excision for GPS receivers using sparse reconstruction techniques,” Proceedings of the ION GNSS, Tampa, FL, September 2014.
  • P. Setlur, M. G. Amin, and F. Ahmad, “Multipath model and exploitation in through wall radar and urban sensing,” IEEE Transactions on GeoScience and Remote Sensing, vol. 49, pp. 4021-4034, May 2011.
  • M. G. Amin (Editor), Through the Wall Radar Imaging, CRC Press, Boca Raton, FL, 2011.
  • G. Wang and M. G. Amin, “Imaging through unknown walls using different standoff distances,” IEEE Transactions on Signal Processing, vol. 54, no. 10, pp. 4015 – 4025, October 2006.

Selected Professional Experience

  • Member of the Board of the Proceedings of IEEE. (2017-Present)
  • Member of the IEEE Signal Processing Magazine Editorial Board (2012-2015)
  • Member of the EURASIP Signal Processing Editorial Board (2010-2015)
  • Guest Editor of the IEEE Journal on Selected Topics in Signal Processing, “Advances in Time/Frequency Modulated Array Signal Processing,” April 2017
  • Guest Editor of Digital Signal Processing, “Co-prime Sampling and Arrays,” August 2016 (Lead GE)
  • Lead Guest Editor of the Proceedings of the IEEE, “Vulnerabilities, Threats, and Authentication in Satellite-based Navigation Systems,” June 2016
  • Guest Editor of the IEEE Signal Processing Magazine, Special Issue, “Time-frequency Analysis and Applications,” Nov. 2014
  • Guest Editor of the IEEE Signal Processing Magazine, Special Issue, “Recent Advances in SAR Imaging,” July 2014
  • Lead Guest Editor of the IEEE Transactions on Geoscience and Remote Sensing, “Remote Sensing of Building Interiors,” May 2009

Selected Research

  • Strategies for Co-existence of Radio Telescopes Arrays with Broadcast Stations and Wireless Communication Systems
  • Compressive Sensing Based Approaches for Low-Signature Target Detection & Imaging
  • Co-Prime Frequency and Aperture Design for HF Surveillance, Wideband Radar Imaging, and Nonstationary Array Processing
  • Advanced Signal Processing and Emerging Sensing Technologies for Assisted Living
  • Signal Processing for Improved Moving Target Detection, Localization, and Tracking using Multi-Static Passive Radars
  • Evaluation and Improvement of Envelope Spectrum Technique for Bearing Fault Detection
  • Multipath Exploitation and Knowledge based Urban Radar Imaging using Compressive Sensing
  • Partnerships for Innovation in Acoustic and Ultrasound Technologies for Medical and Industrial Applications
  • Next-Generation Over-the-Horizon HF Radar (NGOTHR) Moving Target Indicator (MTI) and Clutter Mitigation Development

About Villanova

Since 1842, Villanova University’s Augustinian Catholic intellectual tradition has been the cornerstone of an academic community in which students learn to think critically, act compassionately and succeed while serving others. There are more than 10,000 undergraduate, graduate and law students in the University's six colleges – the College of Liberal Arts and Sciences, the Villanova School of Business, the College of Engineering, the College of Nursing, the College of Professional Studies and the Villanova University Charles Widger School of Law. As students grow intellectually, Villanova prepares them to become ethical leaders who create positive change everywhere life takes them.

Villanova logo