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Grant: Discovery Grants Program - Individual

University of Manitoba

$87,000.00

Applied Electromagnetics and Advanced Antennas

FY 2015-16

Summary
The objective of my proposed research is to use electromagnetic principles for developing mathematical tools for investigating the wave interactions with surrounding media, and to enable the design of electromagnetic devices, such as antennas, sensors, and other components for applications in emerging areas in science and engineering. It will have several groundbreaking advances in communication and remote sensing. I will conduct research on the development of low loss engineered materials. The conductor losses have been ""the source of all evil"" in radio science and anything dealing with electromagnetic waves, and created the dream of superconductivity. Recently, in a modest way, I have demonstrated loss reduction in layered structures, and this research will investigate it in detail, using physical principles, and develop mathematical models for its minimization. Conductive loss reduction will launch a new wave of innovation in many areas of science and technology. I propose to advance my research on virtual antenna arrays, which replaces multiple antennas with only one, with the aid of electromagnetic modeling and signal processing. With further development, I intend to investigate its applications in synthetic aperture radars and satellite observations, using high gain antennas. I will also study applications where device miniaturization has a transformative impact, by hardware minimization, or replacement with software. I plan to further study the electromagnetic response of Arctic sea ice, and develop dedicated algorithms for scattering by its special features, such as frost flowers and brine inclusions. The results of this research will be invaluable for improving our understanding of the sea ice, and predictions by large-scale satellite observations, and sustainable development of the North. I propose investigating the symmetric properties of electromagnetic waves scattered from objects and tissue anomalies. This research will relate the received response to the object's location, rather than the source contrast, used currently in microwave imaging. Its features will be similar to MRI imaging and the latter's signal processing can be used to improve the detection and identification of the anomalies.
Program
Discovery Grants Program - Individual
Location
Manitoba, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2015-06570
Name nom
Shafai, Lotfollah
Department département
Electrical and Computer Engineering - Electrical and Computer Engineering
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
87000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
805
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communications technologies (satellites, radar, etc.)
Area of application fr
Technologie des télécommunications (satellites, radar,etc.)
Research subject code
2511
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Antennas and propagation
Research subject fr
Antennes et propagation
Partie
1
Nb partie
5
Application title
Applied Electromagnetics and Advanced Antennas
Keyword
NSERC
Application summary
<p>The objective of my proposed research is to use electromagnetic principles for developing mathematical tools for investigating the wave interactions with surrounding media, and to enable the design of electromagnetic devices, such as antennas, sensors, and other components for applications in emerging areas in science and engineering. It will have several groundbreaking advances in communication and remote sensing. <br /> I will conduct research on the development of low loss engineered materials. The conductor losses have been <em>""the source of all evil""</em> in radio science and anything dealing with electromagnetic waves, and created the dream of superconductivity. Recently, in a modest way, I have demonstrated loss reduction in layered structures, and this research will investigate it in detail, using physical principles, and develop mathematical models for its minimization. Conductive loss reduction will launch a new wave of innovation in many areas of science and technology.<br /> I propose to advance my research on virtual antenna arrays, which replaces multiple antennas with only one, with the aid of electromagnetic modeling and signal processing. With further development, I intend to investigate its applications in synthetic aperture radars and satellite observations, using high gain antennas. I will also study applications where device miniaturization has a transformative impact, by hardware minimization, or replacement with software.<br /> I plan to further study the electromagnetic response of Arctic sea ice, and develop dedicated algorithms for scattering by its special features, such as frost flowers and brine inclusions. The results of this research will be invaluable for improving our understanding of the sea ice, and predictions by large-scale satellite observations, and sustainable development of the North.<br /> I propose investigating the symmetric properties of electromagnetic waves scattered from objects and tissue anomalies. This research will relate the received response to the object's location, rather than the source contrast, used currently in microwave imaging. Its features will be similar to MRI imaging and the latter's signal processing can be used to improve the detection and identification of the anomalies.</p>