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DTSTAMP:20251117T165314Z
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DTSTART;TZID=America/New_York:20251114T153000
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DESCRIPTION:With the advent of 5G technology\, cloud computing is poised to
  transform mobility systems by leveraging big\ndata and high-performance c
 omputing. At the same time\, modern vehicles are increasingly equipped wit
 h\nadvanced sensing and connectivity features. The seamless integration of
  cloud and onboard resources is\nessential for enabling next-generation ve
 hicles with enhanced safety\, comfort\, and energy efficiency.\nIn this ta
 lk\, I will introduce a cloud-facilitated collaborative sensing and contro
 l paradigm for connected\nvehicles. First\, I will present a privacy-aware
  collaborative sensing framework that leverages heterogeneous\nvehicles as
  mobile sensors to crowdsource critical road and traffic information while
  preserving privacy. Then\,\nI will discuss a privacy-preserving cloud-ass
 isted control scheme that systematically integrates cloud and local\ncontr
 ollers\, ensuring improved performance\, stability\, and data security. I 
 will also talk about my recent work\non agricultural robotic systems.\n\nR
 oom: 432\, Bldg: Innovation\, 82 University Pl\, burlington\, Vermont\, Un
 ited States\, 05405
LOCATION:Room: 432\, Bldg: Innovation\, 82 University Pl\, burlington\, Ver
 mont\, United States\, 05405
ORGANIZER:hossareh@uvm.edu
SEQUENCE:10
SUMMARY:Internet of Mobility: Cloud-Facilitated Privacy-Aware Collaborative
  Sensing and Control in Connected and Automated Vehicles
URL;VALUE=URI:https://events.vtools.ieee.org/m/513021
X-ALT-DESC:Description: <br /><p>With the advent of 5G technology\, cloud c
 omputing is poised to transform mobility systems by leveraging big&nbsp\;<
 br>data and high-performance computing. At the same time\, modern vehicles
  are increasingly equipped with&nbsp\;<br>advanced sensing and connectivit
 y features. The seamless integration of cloud and onboard resources is&nbs
 p\;<br>essential for enabling next-generation vehicles with enhanced safet
 y\, comfort\, and energy efficiency.<br>In this talk\, I will introduce a 
 cloud-facilitated collaborative sensing and control paradigm for connected
 &nbsp\;<br>vehicles. First\, I will present a privacy-aware collaborative 
 sensing framework that leverages heterogeneous&nbsp\;<br>vehicles as mobil
 e sensors to crowdsource critical road and traffic information while prese
 rving privacy. Then\,&nbsp\;<br>I will discuss a privacy-preserving cloud-
 assisted control scheme that systematically integrates cloud and local&nbs
 p\;<br>controllers\, ensuring improved performance\, stability\, and data 
 security. I will also talk about my recent work&nbsp\;<br>on agricultural 
 robotic systems.</p>
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