What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Radar
- Computer vision
Fauzia Ahmad spends much of her time researching Radar, Radar imaging, Synthetic aperture radar, Electronic engineering and Acoustics.
Her studies in Radar integrate themes in fields like Signal and Time–frequency analysis.
Her Radar imaging study integrates concerns from other disciplines, such as Clutter, Artificial intelligence, Compressed sensing, Computer vision and Multipath propagation.
Fauzia Ahmad combines subjects such as Inverse synthetic aperture radar, Side looking airborne radar and Optics with her study of Synthetic aperture radar.
Her Electronic engineering research includes themes of Sampling, Azimuth and Direction of arrival.
As part of one scientific family, Fauzia Ahmad deals mainly with the area of Acoustics, narrowing it down to issues related to the Wideband, and often Beamforming and Radar cross-section.
Her most cited work include:
- Synthetic aperture beamformer for imaging through a dielectric wall (264 citations)
- Dual-Function Radar-Communications: Information Embedding Using Sidelobe Control and Waveform Diversity (195 citations)
- Radar Signal Processing for Elderly Fall Detection: The future for in-home monitoring (173 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Radar imaging, Radar, Artificial intelligence, Computer vision and Clutter.
Her Radar imaging study combines topics from a wide range of disciplines, such as Synthetic aperture radar, Remote sensing and Compressed sensing.
Her work carried out in the field of Synthetic aperture radar brings together such families of science as Beamforming and Wideband.
Her Radar research is multidisciplinary, relying on both Acoustics and Electronic engineering.
In her work, Algorithm and Specular reflection is strongly intertwined with Multipath propagation, which is a subfield of Artificial intelligence.
Her research in Computer vision intersects with topics in Inverse scattering problem and Detector.
She most often published in these fields:
- Radar imaging (45.38%)
- Radar (41.54%)
- Artificial intelligence (37.69%)
What were the highlights of her more recent work (between 2015-2021)?
- Radar (41.54%)
- Artificial intelligence (37.69%)
- Algorithm (20.38%)
In recent papers she was focusing on the following fields of study:
Fauzia Ahmad mainly investigates Radar, Artificial intelligence, Algorithm, Ground-penetrating radar and Computer vision.
In the subject of general Radar, her work in Doppler radar is often linked to Fall detection, thereby combining diverse domains of study.
Her Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Pattern recognition.
Her research in Algorithm tackles topics such as Beamforming which are related to areas like Fourier transform.
The concepts of her Ground-penetrating radar study are interwoven with issues in Clutter, Radar imaging and Remote sensing.
As a part of the same scientific family, she mostly works in the field of Radar imaging, focusing on Compressed sensing and, on occasion, Sparse array and Acoustics.
Between 2015 and 2021, her most popular works were:
- Dual-Function Radar-Communications: Information Embedding Using Sidelobe Control and Waveform Diversity (195 citations)
- Radar Signal Processing for Elderly Fall Detection: The future for in-home monitoring (173 citations)
- Signaling strategies for dual-function radar communications: an overview (122 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Radar
- Computer vision
Her main research concerns Radar, Artificial intelligence, Computer vision, Electronic engineering and Feature extraction.
Fauzia Ahmad is interested in Doppler radar, which is a field of Radar.
Her work deals with themes such as Linear subspace and Pattern recognition, which intersect with Artificial intelligence.
Fauzia Ahmad conducts interdisciplinary study in the fields of Computer vision and Signature through her works.
Her Electronic engineering research incorporates themes from Algorithm, GNSS applications, Interference and Communications system.
Her work is dedicated to discovering how Feature extraction, Motion detection are connected with Feature vector, Wideband, Support vector machine and Time–frequency analysis and other disciplines.
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