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DESCRIPTION:It is well known that electromagnetic waves can penetrate many 
 kinds of materials. When illuminated by electromagnetic waves\, different 
 materials will respond differently. Therefore\, electromagnetic physics pr
 ovides us with an essential tool for sensing and imaging. We can infer the
  properties of the targets under investigation from the measured electroma
 gnetic signal. Electromagnetic sensing has been applied to hydrocarbon pro
 duction\, land mine detection\, and many other areas since the 1920s. Howe
 ver\, due to the limit in computing powers\, researchers can only interpre
 t the domain of investigation by directly browsing the recorded signal. Re
 asonable interpretation requires ample experience\, but it still needs to 
 be more accurate. In the 1970s\, computers were used in data processing\, 
 and algorithms were developed to estimate the electromagnetic properties o
 f the investigation domain from the recorded survey data. During this time
 \, inversion algorithms could only reconstruct simple one-dimensional mode
 ls with tens of unknowns based on linear approximation. Still\, even so\, 
 it took a long time to compute. These days\, nonlinear inversion algorithm
 s can reconstruct three-dimensional models with millions of unknowns on hi
 gh-performance computing platforms. Many new electromagnetic sensing metho
 ds were developed with these developments\, such as the widely used marine
 -controlled source electromagnetic surveys for hydrocarbon explorations\, 
 breast cancer detection using microwaves\, etc. With the help of new senso
 rs\, big data technology\, massive parallelization\, fast algorithms\, ele
 ctromagnetic sensing\, and imaging has improved their effectiveness and ga
 ined more and more applications.\n\nIn this talk\, the presenter would lik
 e to discuss the fundamentals of electromagnetic sensing and imaging\, the
  solution to electromagnetic inverse problems\, and many practical example
 s from hydrocarbon exploration\, radar imaging\, biomedical diagnosis\, no
 n-destructive testing\, etc. The presenter will discuss the challenges and
  new research directions for future electromagnetic sensing and imaging.\n
 \nCo-sponsored by: STARaCom Montreal\n\nSpeaker(s): Prof. Maokun Li \, \n\
 nVirtual: https://events.vtools.ieee.org/m/351678
LOCATION:Virtual: https://events.vtools.ieee.org/m/351678
ORGANIZER:elham.baladi@polymtl.ca
SEQUENCE:8
SUMMARY:Electromagnetic Sensing and Imaging 
URL;VALUE=URI:https://events.vtools.ieee.org/m/351678
X-ALT-DESC:Description: <br /><p>It is well known that electromagnetic wave
 s can penetrate many kinds of materials. When illuminated by electromagnet
 ic waves\, different materials will respond differently. Therefore\, elect
 romagnetic physics provides us with an essential tool for sensing and imag
 ing. We can infer the properties of the targets under investigation from t
 he measured electromagnetic signal. Electromagnetic sensing has been appli
 ed to hydrocarbon production\, land mine detection\, and many other areas 
 since the 1920s. However\, due to the limit in computing powers\, research
 ers can only interpret the domain of investigation by directly browsing th
 e recorded signal. Reasonable interpretation requires ample experience\, b
 ut it still needs to be more accurate. In the 1970s\, computers were used 
 in data processing\, and algorithms were developed to estimate the electro
 magnetic properties of the investigation domain from the recorded survey d
 ata. During this time\, inversion algorithms could only reconstruct simple
  one-dimensional models with tens of unknowns based on linear approximatio
 n. Still\, even so\, it took a long time to compute. These days\, nonlinea
 r inversion algorithms can reconstruct three-dimensional models with milli
 ons of unknowns on high-performance computing platforms. Many new electrom
 agnetic sensing methods were developed with these developments\, such as t
 he widely used marine-controlled source electromagnetic surveys for hydroc
 arbon explorations\, breast cancer detection using microwaves\, etc. With 
 the help of new sensors\, big data technology\, massive parallelization\, 
 fast algorithms\, electromagnetic sensing\, and imaging has improved their
  effectiveness and gained more and more applications.</p>\n<p>In this talk
 \, the presenter would like to discuss the fundamentals of electromagnetic
  sensing and imaging\, the solution to electromagnetic inverse problems\, 
 and many practical examples from hydrocarbon exploration\, radar imaging\,
  biomedical diagnosis\, non-destructive testing\, etc. The presenter will 
 discuss the challenges and new research directions for future electromagne
 tic sensing and imaging.</p>
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