BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Context and Behaviour Modelling of User and Urban Activities - Flo
 ra Salim (RMIT University)
DTSTART:20190828T140000Z
DTEND:20190828T150000Z
UID:TALK127516@talks.cam.ac.uk
CONTACT:33450
DESCRIPTION:Abstract:\nContext is the most influential signal in analysing
  human behaviours. Effective and efficient techniques for analysing contex
 ts inherent in the spatio-temporal sensor data from the urban environment 
 are paramount.  It is important to observe and learn the context from whic
 h the data is generated in\, particularly when dealing with heterogenous h
 igh-dimensional data from individuals and groups of users\, generated eith
 er from personal devices or sensors embedded in buildings\, cities\, and u
 rban areas. \nOne main challenge in modelling user activities in urban are
 as is to discover meaningful correlations among the numerous sensor channe
 ls and other types of data from multiple domains. Data-driven models need 
 to also reflect on the personalised behaviours of different users. On the 
 other side of the coin\, often data is generated by many companies without
  any information of individuals. However the analysis still needs to refle
 ct different activity profiles.  \nI will present our generic temporal seg
 mentation techniques that we have used for multiple applications. A new co
 ncept of cyber\, physical\, social contexts will be introduced\, and how t
 hey translate in various domain applications of our research for analysing
  occupant behaviours\, and for personalised intelligent assistants. \nFina
 lly\, the data-driven models can be used as input for recommender systems 
 for individuals and/or groups\, and for optimising the routes and/or itine
 raries in multiple applications\, from visitors in a shopping mall\, to tr
 avelling parking inspectors and police officers.\n\nBio: \nFlora Salim is 
 an Associate Professor at the Computer Science and IT (CSIT) discipline\, 
 School of Science\, RMIT University\, Melbourne\, Australia\, and a Deputy
  Director of the RMIT Centre for Information Discovery and Data Analytics 
 (CIDDA). She leads the Context Recognition and Urban Intelligence group in
  CIDDA. A/Prof. Flora's research interests include context-aware situation
 al intelligence and spatio-temporal analysis\, specifically in human mobil
 ity tracking\, context and behaviour modelling\, time-series prediction\, 
 and cross-domain data fusion and learning. She obtained her PhD from Monas
 h University in 2009. \nShe has received numerous awards for her work\, in
 cluding the Humboldt-Bayer Research Fellowship by Alexander von Humboldt F
 oundation and the Bayer Science & Education Foundation in 2019\, Humboldt 
 Fellowship for experienced researcher\, Victoria Fellow 2018 (awarded by t
 he Victorian government)\, the RMIT Vice-Chancellor's Award for Research E
 xcellence – Early Career Researcher 2016\; the RMIT Award for Research I
 mpact - Technology 2018\; Victorian iAwards (2014)\, Australian Research C
 ouncil (ARC) Postdoctoral Research Industry Fellow (2012-2015)\; IBM Smart
 er Planet Industry Skills Innovation Award (2010)\; and a Google Anita Bor
 g Scholar (2008).  \nPrior to her faculty appointment in CSIT\, she was a 
 postdoc in the Spatial Information Architecture Lab\, part of the RMIT Sch
 ool of Architecture and Design\, working on multiple design modelling and 
 optimisation problems in architecture\, engineering\, and construction pro
 jects. Prior to her PhD\, she was a Senior Software Engineer in mediaproxy
 \, developing realtime signal and content monitoring solutions for TV & br
 oadcasting companies. \nShe is an Associate Editor of the PACM on Interact
 ive\, Mobile\, Wearable and Ubiquitous Technologies (IMWUT) and an Area Ed
 itor of Pervasive and Mobile Computing.\n
LOCATION:Lecture Theatre 2\, Computer Laboratory
END:VEVENT
END:VCALENDAR