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DTSTAMP:20240727T034026Z
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DTSTART;TZID=America/Los_Angeles:20240726T130000
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DESCRIPTION:Smart city sensing represents a pivotal paradigm shift in urban
  development\, characterized by the infusion of cutting-edge technology to
  improve the quality of life in densely populated areas. At its essence\, 
 smart city sensing revolves around the deployment of sensors and data coll
 ection infrastructure throughout urban landscapes. The use of the collecte
 d data spans various domains\, including environmental monitoring\, transp
 ortation\, energy management\, and public safety. By continuously gatherin
 g and analyzing real-time data\, smart cities gain unprecedented insights 
 into their operations and the needs of their citizens. Unlocking the poten
 tial of smart cities\, this talk presents effective solutions to leverage 
 collected data to optimize the quality of the offered services. Specifical
 ly\, this talk illuminates the innovative use of cellular data to analyze 
 footfall and transportation modes\, enabling precise localization and urba
 n insights. By tracking citizens’ mobility profiles inferred from channe
 l state information (CSI) measurements using efficient artificial intellig
 ence (AI) tools\, it reveals intricate pedestrian and transportation dynam
 ics\, informing optimal urban planning\, crowd management\, and resource a
 llocation. Furthermore\, the talk discusses effective solutions to enable 
 the perpetual operation of IoT infrastructure and environmental monitoring
  sensors. Following an interdisciplinary methodology that combines experim
 ental implementation and theoretical analysis\, the use of 6G enablers suc
 h as unmanned aerial vehicles (UAVs) is investigated to optimize the data 
 collection from the IoT sensors and minimize energy waste.\n\nCo-sponsored
  by: Mohammed Eltayeb\n\nSpeaker(s): Tareq Al-Naffouri\n\nRoom:  RVR 3014\
 , Bldg: Riverside Hall\, 6000 J St\, California State University\, Sacrame
 nto\, Sacramento\, California\, United States\, 95819\, Virtual: https://e
 vents.vtools.ieee.org/m/428331
LOCATION:Room:  RVR 3014\, Bldg: Riverside Hall\, 6000 J St\, California St
 ate University\, Sacramento\, Sacramento\, California\, United States\, 95
 819\, Virtual: https://events.vtools.ieee.org/m/428331
ORGANIZER:mohammed.eltayeb@csus.edu
SEQUENCE:5
SUMMARY:Smart City Sensing: Enhancing Urban Mobility and Energy Efficiency 
 through Cellular Data Analytics and UAV-enabled IoT Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/428331
X-ALT-DESC:Description: <br /><p>Smart city sensing represents a pivotal pa
 radigm shift in urban development\, characterized by the infusion of cutti
 ng-edge technology to improve the quality of life in densely populated are
 as. At its essence\, smart city sensing revolves around the deployment of 
 sensors and data collection infrastructure throughout urban landscapes. Th
 e use of the collected data spans various domains\, including environmenta
 l monitoring\, transportation\, energy management\, and public safety. By 
 continuously gathering and analyzing real-time data\, smart cities gain un
 precedented insights into their operations and the needs of their citizens
 . Unlocking the potential of smart cities\, this talk presents effective s
 olutions to leverage collected data to optimize the quality of the offered
  services. Specifically\, this talk illuminates the innovative use of cell
 ular data to analyze footfall and transportation modes\, enabling precise 
 localization and urban insights. By tracking citizens&rsquo\; mobility pro
 files inferred from channel state information (CSI) measurements using eff
 icient artificial intelligence (AI) tools\, it reveals intricate pedestria
 n and transportation dynamics\, informing optimal urban planning\, crowd m
 anagement\, and resource allocation. Furthermore\, the talk discusses effe
 ctive solutions to enable the perpetual operation of IoT infrastructure an
 d environmental monitoring sensors. Following an interdisciplinary methodo
 logy that combines experimental implementation and theoretical analysis\, 
 the use of 6G enablers such as unmanned aerial vehicles (UAVs) is investig
 ated to optimize the data collection from the IoT sensors and minimize ene
 rgy waste.&nbsp\;</p>
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