BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//TUC//Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Athens
TZNAME:EEST
DTSTART:19700329T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EET
DTSTART:19701025T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
CREATED:20260830T121459Z
LAST-MODIFIED:20260830T121459Z
DTSTAMP:20260907T205656Z
UID:1788803816@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.tuc.gr/el/to-polytechnei
 o/ilektronikes-ypiresies/imerologio/
 imerologio-ekdiloseon-1?tx_tucevents
 2_tuceventsdisplay%5Baction%5D=show&
 tx_tucevents2_tuceventsdisplay%5Bcon
 troller%5D=Event&tx_tucevents2_tucev
 entsdisplay%5Bevent%5D=8648&cHash=ea
 3350935905ef16f08f340ea63e2c44\n Abs
 tract\n Uncertainty quantification h
 as become an essential component of 
 modern computational science, partic
 ularly in electromagnetic modeling w
 here material properties, geometrica
 l tolerances, excitation conditions,
  and environmental parameters are of
 ten imperfectly known. This talk pre
 sents the use of Polynomial Chaos me
 thods as an efficient framework for 
 propagating input uncertainties thro
 ugh deterministic electromagnetic so
 lvers and quantifying their impact o
 n system responses. By representing 
 uncertain inputs and outputs through
  orthogonal polynomial expansions, P
 olynomial Chaos enables the estimati
 on of statistical moments, sensitivi
 ties, and probability distributions 
 with significantly fewer simulations
  than standard Monte Carlo approache
 s. The discussion will introduce the
  basic theoretical principles of Pol
 ynomial Chaos expansions and demonst
 rate how they can improve prediction
  reliability, support robust design,
  and provide deeper physical insight
  into electromagnetic systems affect
 ed by unavoidable variability.\n \n 
 About the Speaker\n Aristeides D. Pa
 padopoulos received his B.Sc. in Phy
 sics from the National and Kapodistr
 ian University of Athens (NKUA), Ath
 ens, Greece, in 1999, his M.Sc in Ph
 ysics from the University of Florida
  (UF), FL, USA in 2001, his M.Sc in 
 Electrical Engineering from the Tech
 nical University of Delft (TUDelft) 
 in 2003, his PhD in Electrical Engin
 eering, from the School of Electrica
 l and Computer Engineering, National
  Technical University of Athens (NTU
 A) in 2010 and his M.Sc. in Informat
 ics, from the Department of Informat
 ics and Telecommunications, NKUA in 
 2024. He is a senior post-doctoral r
 esearcher affiliated with the School
  of Electrical and Computer engineer
 ing-NTUA, the Center for Research an
 d Technology Hellas / Informatics an
 d Telematics Institute (CERTH/ITI) i
 n Thessaloniki, Greece, the Departme
 nt of Informatics and Communications
  (NKUA) and Eulambia Advanced Techno
 logies in Athens-Greece. His researc
 h interests include Computational El
 ectromagnetrics with applications in
  Optics and Fusion Plasma, Signal Pr
 ocessing for Communications and Mach
 ine Learning-AI applications in vari
 ous fields. He has co-authored over 
 80 journal (42) and conference paper
 s. Dr. Papadopoulos is an IEEE membe
 r, Senior Optica (formerly OSA) memb
 er and member of Euratom-EUROfusion 
 Hellenic Republic. In addition he's 
 teaching Electronics, Optoelectronic
 s, and Communications at the Helleni
 c Air Force Academy.\n      
STATUS:CONFIRMED
ORGANIZER;RSVP=FALSE;CN=TUC;CUTYPE=TUC:mailto:webmaster@tuc.gr
DTSTART:20260902T120000
DTEND:20260902T130000
TRANSP:OPAQUE
CLASS:DEFAULT
END:VEVENT
END:VCALENDAR