BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Recent advances in critical infrastructures forecasting via Physic
 s-Enhanced Machine Learning  - Alice Cicirello\, University of Cambridge\
 , UK
DTSTART:20250523T133000Z
DTEND:20250523T143000Z
UID:TALK229045@talks.cam.ac.uk
CONTACT:Shehara Perera
DESCRIPTION:This talk will introduce the concept of Physics-Enhanced Machi
 ne Learning (PEML) which combines data\, physics and expert and domain kno
 wledge to enhance modelling and forecasting capabilities of critical infra
 structures such as bridges\, ferry quays and wind turbines. PEML approache
 s developed to address challenges such as parameter identification  and vi
 rtual sensing will be described. An overview of recent developments on mod
 el updates in the presence of sparse information\, equation discovery in t
 he presence of non-smooth nonlinearity\, and measurements disentanglement 
 will be provided. Finally open challenges are going to be summarised.
LOCATION:CivEng Seminar Room (1-33) (Civil Engineering Building)
END:VEVENT
END:VCALENDAR