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SUMMARY:The Wearables Medical Revolution - Katayoun Farrahi (University of
  Southampton)
DTSTART:20200803T140000Z
DTEND:20200803T150000Z
UID:TALK149638@talks.cam.ac.uk
CONTACT:Lorena Qendro
DESCRIPTION:*Abstract:* The Covid-19 pandemic is testing the ability to us
 e widespread personal sensor data for health-related applications\, partic
 ularly in the case of contact tracing. This talk will present some of the 
 first work that used large-scale mobile phone data as a proxy for physical
  proximity in simulating epidemics. Two works will be presented on digital
  epidemiology\, the first on digital contact tracing and the second on Blu
 etooth networks and the ability to predict whom will become infected next 
 over time. Finally\, another line of research related to Covid-19 on x-ray
  data will be presented that uses cascade transfer learning from ImageNet 
 and has been validated on various applications including sensor-driven Hum
 an Activity Recognition.\n\n*Bio:* Kate Farrahi is an assistant professor 
 in computing at the University of Southampton. She works in the vision\, l
 earning and control group. The main focus of her research is machine learn
 ing\, particularly deep learning\, often applied to health applications. I
 n 2014\, together with her collaborators she led some work on digital cont
 act tracing\, which appears to be the first paper on the subject. In addit
 ion to epidemics\, other applications of her research include mood predict
 ions from sensor data\, and Parkinson’s disease prediction from typing d
 ata.  Prior to joining Southampton\, she was a research assistant at Idiap
  Research Institute and obtained her PhD in Computer Science from the Swis
 s Federal Institute of Technology in Lausanne (EPFL).
LOCATION:Virtual (see abstract for Zoom link)
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