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SUMMARY:EE Seminar: Comprehensive Observation in Embedded Systems\; A Heal
 thcare Wearable Example
DTSTART:20190725T150000
DTEND:20190725T160000
DTSTAMP:20260407T103030Z
UID:9d8dce07ff93c6b082ebc4ea5228a1cf6b8fcbd98488906e24c8ec03
CATEGORIES:Conferences - Seminars
DESCRIPTION:Nima Taherinejad is an assistant professor at TU Wien with a r
 esearch interest in self-aware cyber-physical systems\, health-care\, embe
 dded systems\, and systems on chip. He has authored two books and more tha
 n forty research articles and held several tutorials and talks regarding s
 elf-awareness (especially in health-care embedded systems) in reputable co
 nferences and universities. He has received several awards and scholarship
 s from universities and conferences he has attended\, including the best p
 aper award at MobiHealth 2017\, Digilent Design Contest\, and Week of Open
 -Source Hardware. Dr. Taherinejad is a co-founder and a co-organizer of Se
 lf-aware cyber-Physical Systems (SelPhyS) workshops. He chaired the "7th E
 AI International Conference on Wireless Mobile Communication and Healthcar
 e (MobiHealth)" and served as the guest editor of "Mobile Networks and App
 lications (MONET) Journal" and "Sensors" which feature two special issues 
 on mobile health-care and wearable medical devices.\nAbstract : Design en
 gineers continuously work on the common challenges that embedded systems f
 ace\, however\, some of these improvements are rather slow (e.g.\, battery
  life-time) and some of them are in contradictions with one another (e.g.\
 , better sensors and more complex algorithms against the battery life-time
 ). This calls for a different type of solutions\; self-aware system design
 . Self-aware systems monitor themselves\, their resources\, behavior\, and
  environment to make decisions which bring them closer to their dynamic go
 als. Recently\, system self-awareness methods have been used in Wearable M
 edical Devices such as Early Warning Score (EWS) and Epileptic Seizure de
 tection\, where they showed a great promise by reducing their power consum
 ption (thus extending their usage time) and increasing their reliability. 
 In this talk I will focus on simple principles of a comprehensive observat
 ion\, as an enabler of self-awareness\, and how these techniques can impro
 ve the performance of embedded systems. In particular\, I present their us
 age in an example of EWS assessment using wearable devices.\n 
LOCATION:INF 328 https://plan.epfl.ch/?room=INF328
STATUS:CONFIRMED
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