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CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20211006T115009Z
DTSTART:20211019T130000Z
DTEND:20211019T140000Z
SUMMARY:Turing Fellow 'Spotlight': 19 October
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}ikm-ku881cl
 j-wd84au
DESCRIPTION:The Digital Futures team are hosting talks by The University 
 of Manchester's new Turing Fellows for 2021-22. \n\nPresenting at this e
 vent are Tingting Mu and Markel Vigo.\n\nThis will be an online event. T
 o register\, please visit the Eventbrite link opposite. \n\nTingting Mu 
 is senior lecturer in Machine Learning in the department of Computer Sci
 ence\, and her research is focused on developing advanced mathematical m
 odelling and large-scale optimisation techniques to (1) simulate human i
 ntelligence and (2) analyse real-world complex data. \n\nTingting's talk
  is titled 'Fundamentals and Applications of Representation Learning'.\n
 \nRepresentation learning aims at extracting refined information from ra
 w data and knowledge\, and encoding it by data representation with low m
 emory usage\, which needs to be sufficiently accurate for further use in
  pattern recognition\, prediction and exploration tasks. My core experti
 se is on the understanding and learning spaces that embed such data repr
 esentations. In this short talk\, I will share my current research lands
 capes\, covering the theory and algorithm development\, as well as the p
 ractical applications in other disciplines and industry.\n\nMarkel Vigo 
 is a lecturer in Health Informatics\, and his research looks at how indi
 viduals interact with data-intensive\, complex and critical interactive 
 systems such as medical dashboards and knowledge artefacts.\n\nMarkel's 
 talk is titled 'Methods\, Tools and Case Studies for User Interaction Mo
 delling'.\n\nUser interaction analysis is key to understanding the inter
 face between humans and interactive computing systems. Despite being an 
 essential activity for digital phenotyping and user modelling purposes\,
  the manipulation\, enquiry and mining of interaction data is full of ch
 allenges.\n\nInformed by case studies on online learning\, knowledge acq
 uisition and user interface evaluation\, in this talk I'm going to: (1) 
 introduce a set of tools to support hypothesis-driven and data-driven an
 alysis\; and (2) present some innovative data analysis pipelines that in
 volve human decision-making.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
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