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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Augmenting the performance of impoverished sensor networks using m
 achine learning and time reversal: Application to lightning nowcasting and
  location
DTSTART:20211027T170000
DTSTAMP:20260509T202836Z
UID:12e16f69bc4580c29b47e40954d2379994c2585bd2aaedae77e2c627
CATEGORIES:Thesis defenses
DESCRIPTION:Amirhossein MOSTAJABI\nThesis Directors: Prof. F. Rachidi-Haer
 i\, Prof. M. Rubinstein\nElectrical Engineering doctoral program\nThesis N
 r. 8805\n\nTo take part in the public defense\, please contact directly t
 he speaker
LOCATION:Zoom meeting
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR