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SUMMARY:Understanding Urban Events with CrowdSourced Data - Kasthuri Jayar
 ajah (Singapore Management University)
DTSTART:20170817T140000Z
DTEND:20170817T150000Z
UID:TALK74571@talks.cam.ac.uk
CONTACT:Liang Wang
DESCRIPTION:With the increased attention on developing technologies for sm
 arter cities\, we are beginning to see increased use of data from a divers
 e set of multi-modal sensors that are being deployed in various components
  of the urban infrastructure. Examples include cameras mounted along roads
  and highways (that help monitor real-time traffic congestion levels)\, an
 d buses equipped with location sensors and contactless payment modes (that
  help monitor bus movement and occupancy levels). On the other hand\, user
 s of social media platforms such as Twitter and Instagram serve as a set o
 f distributed social sensors\, voluntarily sharing multimedia content rela
 ted to events that occur in their localities. These disparate sensory sour
 ces provide insights into human mobility that we can leverage for detectin
 g and understanding events and anomalies.\n \nThe first half of the talk w
 ill introduce work on detecting different types of indoor events based on 
 indoor mobility and demonstrates how features that capture long term and s
 pontaneous social relationship help improve the detection accuracy of low 
 intensity events. The second half of the talk will focus on how user-contr
 ibuted multimedia content (via social media) can help localize “micro-ev
 ents” that constitute a large event\, furthering the understanding of th
 e evolution of the event. The talk will conclude with key insights from on
 going work in leveraging multimodal sensors for modelling the spatiotempor
 al impact of city-scale events.\n \nBio:\nKasthuri Jayarajah is a PhD stud
 ent in the School of Information Systems\, Singapore Management University
 \, working in the areas of ubiquitous computing and mobile systems. She is
  currently a Visiting Researcher at the Computer Laboratory of the Univers
 ity of Cambridge. Previously\, she has interned at the Carnegie Mellon Uni
 versity and the US Air Force Research Laboratory in Ohio. She received her
  Master in Computing degree from the National University of Singapore\, in
  2013\, and Bachelor of Engineering degree from the University of Moratuwa
 \, Sri Lanka\, in 2010. Prior to joining the PhD programme\, she was a Res
 earch Engineer at the Living Analytics Research Center at SMU. Her current
  research focuses on understanding human behavior through the fusion of ph
 ysical and social analytics.
LOCATION:FW26\, Computer Laboratory\, William Gates Building
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