Difference between revisions of "Event:ICMIM 2020"

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|Homepage=https://icmim-ieee.org/
 
|Homepage=https://icmim-ieee.org/
 
|City=Linz
 
|City=Linz
|Has host organization=IEEE Microwave Theory and Techniques Society (MTT-S)
 
 
|Has coordinator=Andreas Stelzer
 
|Has coordinator=Andreas Stelzer
 
|has general chair=Reinhard Feger
 
|has general chair=Reinhard Feger
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{{Event Deadline}}
 
{{Event Deadline}}
 
{{S Event}}
 
{{S Event}}
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{{Organizer
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|Organization=IEEE Microwave Theory and Techniques Society (MTT-S)
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|Contributor Type=organization
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}}
 
''Important Dates and Notices
 
''Important Dates and Notices
 
Due to COVID-19, ICMIM 2020 is split into a virtual conference for paper presentation and publication in 2020 and a regular conference featuring the exhibition, student events, etc., delayed one year to April 19-20, 2021
 
Due to COVID-19, ICMIM 2020 is split into a virtual conference for paper presentation and publication in 2020 and a regular conference featuring the exhibition, student events, etc., delayed one year to April 19-20, 2021

Revision as of 16:45, 10 October 2022

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Important Dates and Notices Due to COVID-19, ICMIM 2020 is split into a virtual conference for paper presentation and publication in 2020 and a regular conference featuring the exhibition, student events, etc., delayed one year to April 19-20, 2021 Virtual Conference: Details coming soon. Conference: from April 20-21, 2020 to April 19-20, 2021 Taranto Workshops: from April 22, 2020 to April 21, 2021

  • ICMIM 2020 invites submission of original papers on all topics related to the scope of the conference, including but not limited to:
  • •Automotive radar systems, modulation and waveforms
  • •Interference and coexistence issues
  • •Microwave systems, modules, components, MMIC, and packaging
  • •Frontends and frontend modules
  • •Design and testing of antennas, arrays, MIMO, and phased array systems
  • •Wave propagation, channel measurements, and channel modeling
  • •Analogue RF and radar signal processing, sensor data fusion
  • •Machine learning for RF sensors systems
  • in these and related fields of applications:
  • •Automotive radar
  • •Intelligent transportation systems and other industrial applications
  • •Autonomous vehicles at land, air, and sea
  • •Mobile communications (e.g., ITS-G5/DSRC, C-V2X, 5G)
  • •Sensing and imaging techniques and systems (passive, active)
  • •Wireless localization, navigation, and sensor networks
  • •Environmental detection and sensing
  • •System measurements, performance evaluation, test and validation
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