What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Radar
Moeness G. Amin focuses on Radar, Artificial intelligence, Radar imaging, Algorithm and Electronic engineering.
Radar connects with themes related to Signal in his study.
His studies in Artificial intelligence integrate themes in fields like Computer vision and Pattern recognition.
His research in Radar imaging intersects with topics in Acoustics, Clutter, Beamforming and Synthetic aperture radar, Remote sensing.
His Algorithm study combines topics in areas such as Direction finding, Subspace topology, Speech recognition and Direction of arrival.
His Electronic engineering research includes elements of Smart antenna, Interference, Telecommunications, Communications system and Sensor array.
His most cited work include:
- Blind source separation based on time-frequency signal representations (400 citations)
- Generalized Coprime Array Configurations for Direction-of-Arrival Estimation (381 citations)
- Through-the-Wall Radar Imaging (278 citations)
What are the main themes of his work throughout his whole career to date?
Moeness G. Amin mainly investigates Radar, Algorithm, Artificial intelligence, Radar imaging and Electronic engineering.
Moeness G. Amin interconnects Acoustics, MIMO and Waveform in the investigation of issues within Radar.
As a part of the same scientific family, he mostly works in the field of Algorithm, focusing on Time–frequency analysis and, on occasion, Blind signal separation.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Computer vision and Pattern recognition.
The concepts of his Radar imaging study are interwoven with issues in Synthetic aperture radar, Remote sensing, Clutter and Compressed sensing.
His research investigates the connection between Electronic engineering and topics such as Interference that intersect with problems in Spread spectrum.
He most often published in these fields:
- Radar (31.86%)
- Algorithm (31.62%)
- Artificial intelligence (27.21%)
What were the highlights of his more recent work (between 2016-2021)?
- Radar (31.86%)
- Algorithm (31.62%)
- Artificial intelligence (27.21%)
In recent papers he was focusing on the following fields of study:
His main research concerns Radar, Algorithm, Artificial intelligence, Sparse array and Pattern recognition.
His Radar research includes themes of MIMO, Electronic engineering, Waveform and Feature extraction.
Moeness G. Amin studies Compressed sensing, a branch of Algorithm.
The various areas that Moeness G. Amin examines in his Artificial intelligence study include Radar imaging and Computer vision.
He has researched Radar imaging in several fields, including Pixel and Aperture.
The Computer vision study combines topics in areas such as Clutter and Micro doppler.
Between 2016 and 2021, his most popular works were:
- Fall Detection Using Deep Learning in Range-Doppler Radars (84 citations)
- Radar-Based Human-Motion Recognition With Deep Learning: Promising applications for indoor monitoring (68 citations)
- Frequency Diverse Coprime Arrays With Coprime Frequency Offsets for Multitarget Localization (64 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Radar
His scientific interests lie mostly in Radar, Artificial intelligence, Algorithm, Sparse array and Pattern recognition.
Moeness G. Amin has included themes like MIMO, Feature extraction, Electronic engineering and Spectrogram in his Radar study.
His Artificial intelligence research integrates issues from Radar imaging and Computer vision.
His Computer vision study incorporates themes from Clutter and Detector.
His research integrates issues of Upper and lower bounds, Sparse matrix and Speech recognition in his study of Algorithm.
His Sparse array study integrates concerns from other disciplines, such as Quadratic programming, Beamforming, Antenna and Wideband.
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