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Moeness Amin, PhD - Villanova University. Villanova, PA, US

Moeness Amin, PhD Moeness Amin, PhD

Professor of Electrical and Computer Engineering; Director of the Center for Advanced Communications | Villanova College of Engineering | Villanova University

Villanova, PA, UNITED STATES

Moeness Amin, PhD, is an expert in the theory of signal and array processing with applications to radar, sonar, and communications

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Moeness Amin, PhD Publication Moeness Amin, PhD Publication Moeness Amin, PhD Publication

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Moeness Amin discusses his Humboldt Prize (April 2016) Examining the Use of Through-the-Wall Radar Imaging to Assist the Elderly Living Alone

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Areas of Expertise (6)

Radar

Radar Imaging

Sonar

Surveillance

Wireless Communications

Satellite Navigations

Biography

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 is the world lead expert on through-the-wall radar imaging, which could have applications for search and rescue and law enforcement. Innovations generated by the Center have important functions in both industry and government. The holder of two U.S. patents, Dr. Amin has over 750 journal and conference publications in the areas of wireless communication, time-frequency analysis, smart antennas, interference cancellation in broadband communication platforms, anti-jam GPS, compressive sensing, target detection, classification, localization and tracking, multiple-input multiple-output radar and communications, and frequency spectrum sharing and co-existence. Dr. Amin is a fellow of four societies and recipient of three technical achievement awards.

Education (3)

University of Colorado Boulder: PhD

University of Petroleum and Minerals: MSEE

Cairo University: BS

Select Accomplishments (5)

2017 Fulbright Distinguished Chair in Advanced Defense Science and Technology (professional)

The Fulbright Distinguished Chair Awards comprise approximately 40 distinguished lecturing, research and lecturing/research awards that range from three to 12 month tenures. Dr. Amin’s Fulbright Distinguished Chair appointment is to the Defense Science and Technology Group (DSTG), Australia.

2016 Alexander von Humboldt Prize (professional)

The Alexander von Humboldt Prize is sponsored by the Alexander von Humboldt Foundation. This international honor recognizes the lifetime achievements of researchers whose fundamental discoveries and new theories and insights have had a significant impact on their discipline, and who are “expected to continue producing cutting-edge achievements in the future. Dr. Amin will spend a period of total six months from 2016 to 2019 at the Technical University of Darmstadt.

2016 IET Achievement Medal (professional)

The Institution of Engineering and Technology (IET) Achievement Medals are awarded to individuals who have made major and distinguished contributions in the various sectors of science, engineering and technology, covering energy, transport, manufacturing, information and communications, and the built environment. Dr. Amin’s award reflects his outstanding achievements and seminal contributions to signal analysis and processing over the past three decades.

2014 IEEE Signal Processing Society Technical Achievement Award (professional)

This award, given by the Institute of Electrical and Electronic Engineers, Signal Processing Society, honors a person who, over a period of years, has made outstanding technical contributions to theory and/or practice in technical areas within the scope of the Society. Dr. Amin’s award citation is "for fundamental contributions to signal processing algorithms for communications, satellite navigations, and radar imaging."

2009 EURASP Individual Technical Achievement Award (professional)

The European Association of Signal Processing grants the Technical Achievement Award to a scientist who has made significant research contributions in Signal Processing Theory and Applications. Dr. Amin’s citation is “for contributions to radar imaging and interference mitigation in communications and navigation systems.”

Affiliations (1)

  • Member of the Board of the Proceedings for the Institute of Electrical and Electronics Engineers

Select Media Appearances (7)

NextUp: The Philly Company Working on a Wearable Device to Detect COVID-19 Symptoms

Philadelphia Magazine  online

2020-09-30

Who: The founders of the University City-based medical device company RTM Vital Signs are proof of Philadelphia’s propensity for bringing researchers and scientists together. The company’s chief executive officer, Nance Dicciani, met co-founder Jefferey Joseph roughly 30 years ago in Philadelphia when she and Joseph’s wife worked together at Rohm and Haas, a specialty chemicals manufacturer now owned by Dow Chemical. Dicciani also met the company’s third co-founder, Denise Devine, in Philadelphia roughly two decades ago, when the two fellow alums of Villanova University found themselves serving together on the university’s Board of Trustees. In 2014, Joseph, a cardiac anesthesiologist, researcher, and innovator of medical device technology; Devine, a business executive with over 25 years of leadership experience in general management, operations, and finance; and Dicciani, the former president and CEO of Honeywell’s $5 billion Specialty Materials Business Group with experience in engineering, research, and business management, combined their unique skillsets to launch RTM Vital Signs, a medical device company focused on developing tools that enable real-time sensing, monitoring, and analyzing of critical health information.

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COVID-19 sensor uses tech developed by Villanova professor

KYW Newsradio  radio

2020-09-24

PHILADELPHIA (KYW Newsradio) — A Villanova University engineering professor has developed technology for a sensor that can detect whether someone may have early symptoms of COVID-19. Moeness Amin, a signal processing engineer, is director of the Villanova College of Engineering Center for Advanced Communications. He came up with the algorithm, or mathematical process, to get the remote monitoring system to work. The sensor, the size of a quarter, is worn on the outside of the trachea or neck area, and is connected by way of Bluetooth technology to a smart phone. A COVID-19 sensor uses a small electronic device glued to the neck area where it can monitor the trachea for breathing. He said it can yield critical data that medical professionals can use to detect the early symptoms of COVID-19.

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New Tools Let Police See Inside Peoples' Homes

National Public Radio - Marketplace  radio

2015 "I talked to a guy who evaluated the range R and other devices for the Army research lab, his name is Moeness Amin, and he's a Professor of Engineering at Villanova. 'If you use very high resolution you can resolve the arms, the legs and maybe the torso, but the problem with high-resolution, you have to use veer high frequencies and high frequencies do not penetrate the wall.'"

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X-Ray Vision is Here

PBS - NovaNext  

2014-09-24

Another problem was accuracy. Moeness Amin, director of the Center for Advanced Communications at Villanova University in Pennsylvania, says proponents of through wall imaging promised more than the technology could deliver. “They were very ambitious in terms of what the physics could actually allow,” he says. “Most assumptions from the lab were unfortunately invalid because the real world is very complicated. When a frequency goes through a wall it hits not only you but the chair, the ceiling, the filing cabinets, the interior walls. There is a lot of clutter and the radar hits all of this.”

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Keeping the elderly safe with RADAR: Technology could help track breathing, heart rates and accidents

The Daily Mail  online

2014-05-09

Could radar be the answer to keeping an eye on elderly people without invading their privacy? That’s what a team of researchers at Villanova University in Pennsylvania are aiming to prove with their experiment. They say using radar could keep track of older relatives and even detect when they fall over.

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New Technologies to Help Seniors Age in Place

The Wall Street Journal  

2014-06-02

Urban radar has been used by the military to find and observe people hidden in buildings from a distance. The goal with the elderly is to detect a fall without disturbing them unless they have just fallen. "The whole idea is you cannot have visual access to inside," says Moeness Amin, director of the Center for Advanced Communications at Villanova University.

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Who Will Watch You Fall? A Radar Detection Program for the Elderly

The Atlantic  

2014-04-21

Dr. Moeness Amin is the director of the Center for Advanced Communications in the college of engineering at Villanova University. He was the lone academic representative at several NATO conferences on through-the-wall radar imaging. Amin’s research focuses on various applications for radar motion-detection technology, including search and rescue, military, and law enforcement such as robberies and hostage situations. Now it also includes using radar to identify when people fall in their homes.

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Select Academic Articles (5)

Radar Signal Processing for Elderly Fall Detection: The future for in-home monitoring

IEEE Signal Processing Magazine

Moeness G. Amin, Yimin D. Zhang, Fauzia Ahmad

2016 (Best Paper Award)

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Multi-window time-frequency signal reconstruction from undersampled continuous wave radar measurements for fall detection

IET Radar, Sonar & Navigation

B. Jokanovic, M. G. Amin, Y. Zhang, and F. Ahmad

2016 (Best Paper Award)

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Nonstationary jammer excision for GPS receivers using sparse reconstruction techniques

Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation

Moeness G. Amin and Yimin D. Zhang

2014 (Best Paper Award)

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Missing samples analysis in signals for applications to L-estimation and compressive sensing

Signal Processing

L. Stankovic, S. Stankovic, and M. G. Amin

2014 (Best Paper Award)

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Imaging through unknown walls using different standoff distances

IEEE Transactions on Signal Processing

G. Wang and M. G. Amin

2009 (Best Paper Award)

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