BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Self-Aware Machine Learning for Chronic Pathology Monitoring on We
 arable Devices
DTSTART:20220603T170000
DTSTAMP:20260406T210804Z
UID:81129fc707f04d750f0ad3e987d8979ca88a720af07fa3fca1966b46
CATEGORIES:Thesis defenses
DESCRIPTION:Farnaz FOROOGHIFAR\nThesis Director: Prof. D. Atienza Alonso\,
 \nElectrical Engineering doctoral program\nThesis Nr. 8897\n\nTo take par
 t in the public defense\, please contact directly the speaker
LOCATION:ELA 1 https://plan.epfl.ch/?room==ELA%201
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR