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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Data-Driven Control and Optimization under Noisy and Uncertain Con
 ditions
DTSTART:20231201T170000
DTSTAMP:20260407T045011Z
UID:b0f1e7e867045ed1d91c30faa94dec29b5fabed580ff68de9b43346f
CATEGORIES:Thesis defenses
DESCRIPTION:Baiwei GUO\nThesis Directors: Prof. G. Ferrari Trecate\, Prof.
  M. Kamgarpour\nElectrical Engineering doctoral program\nThesis Nr. 10304
 \n\nTo take part in the public defense\, please contact directly the speak
 er
LOCATION:ME B3 31 https://plan.epfl.ch/?room==ME%20B3%2031
STATUS:CONFIRMED
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END:VCALENDAR