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DTSTART:19700329T030000
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DTSTART:19701025T040000
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BEGIN:VEVENT
CREATED:20260830T121459Z
LAST-MODIFIED:20260830T121459Z
DTSTAMP:20260909T122901Z
UID:1788946141@tuc.gr
SUMMARY:"Uncertainty Quantification via the 
 Polynomial Chaos Expansion Method" b
 y Dr. Aristeides D. Papadopoulos
LOCATION:Λ - Κτίριο Επιστημών/ΗΜΜΥ, 145Π-58
DESCRIPTION:https://www.ece.tuc.gr/el/katalogos-
 ekdiloseon?tx_tucevents2_tuceventsdi
 splay%5Baction%5D=show&tx_tucevents2
 _tuceventsdisplay%5Bcontroller%5D=Ev
 ent&tx_tucevents2_tuceventsdisplay%5
 Bevent%5D=8648&cHash=185d92435dc89a1
 0ed7f4295e3a3fca8\n Abstract\n Uncer
 tainty quantification has become an 
 essential component of modern comput
 ational science, particularly in ele
 ctromagnetic modeling where material
  properties, geometrical tolerances,
  excitation conditions, and environm
 ental parameters are often imperfect
 ly known. This talk presents the use
  of Polynomial Chaos methods as an e
 fficient framework for propagating i
 nput uncertainties through determini
 stic electromagnetic solvers and qua
 ntifying their impact on system resp
 onses. By representing uncertain inp
 uts and outputs through orthogonal p
 olynomial expansions, Polynomial Cha
 os enables the estimation of statist
 ical moments, sensitivities, and pro
 bability distributions with signific
 antly fewer simulations than standar
 d Monte Carlo approaches. The discus
 sion will introduce the basic theore
 tical principles of Polynomial Chaos
  expansions and demonstrate how they
  can improve prediction reliability,
  support robust design, and provide 
 deeper physical insight into electro
 magnetic systems affected by unavoid
 able variability.\n \n About the Spe
 aker\n Aristeides D. Papadopoulos re
 ceived his B.Sc. in Physics from the
  National and Kapodistrian Universit
 y of Athens (NKUA), Athens, Greece, 
 in 1999, his M.Sc in Physics from th
 e University of Florida (UF), FL, US
 A in 2001, his M.Sc in Electrical En
 gineering from the Technical Univers
 ity of Delft (TUDelft) in 2003, his 
 PhD in Electrical Engineering, from 
 the School of Electrical and Compute
 r Engineering, National Technical Un
 iversity of Athens (NTUA) in 2010 an
 d his M.Sc. in Informatics, from the
  Department of Informatics and Telec
 ommunications, NKUA in 2024. He is a
  senior post-doctoral researcher aff
 iliated with the School of Electrica
 l and Computer engineering-NTUA, the
  Center for Research and Technology 
 Hellas / Informatics and Telematics 
 Institute (CERTH/ITI) in Thessalonik
 i, Greece, the Department of Informa
 tics and Communications (NKUA) and E
 ulambia Advanced Technologies in Ath
 ens-Greece. His research interests i
 nclude Computational Electromagnetri
 cs with applications in Optics and F
 usion Plasma, Signal Processing for 
 Communications and Machine Learning-
 AI applications in various fields. H
 e has co-authored over 80 journal (4
 2) and conference papers. Dr. Papado
 poulos is an IEEE member, Senior Opt
 ica (formerly OSA) member and member
  of Euratom-EUROfusion Hellenic Repu
 blic. In addition he's teaching Elec
 tronics, Optoelectronics, and Commun
 ications at the Hellenic Air Force A
 cademy.\n      
STATUS:CONFIRMED
ORGANIZER;RSVP=FALSE;CN=TUC;CUTYPE=TUC:mailto:webmaster@tuc.gr
DTSTART:20260902T120000
DTEND:20260902T130000
TRANSP:OPAQUE
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