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DTSTAMP:20260507T043650Z
UID:6C777BF0-C60F-404F-AD2E-F6C5AD76A6BD
DTSTART;TZID=Australia/Sydney:20260526T140000
DTEND;TZID=Australia/Sydney:20260526T150000
DESCRIPTION:This talk introduces Koopman operator theory as a framework for
  analyzing nonlinear dynamical systems using linear representations. Since
  most real-world systems are nonlinear and difficult to analyze directly\,
  the Koopman approach studies the evolution of observable functions of the
  system state\, allowing the nonlinear dynamics to be represented as a lin
 ear operator in a lifted space. This enables the use of powerful linear to
 ols such as eigenvalue analysis to understand system behavior\, stability\
 , and long-term evolution. The talk also discusses data-driven techniques\
 , including methods such as dynamic mode decomposition and related approac
 hes\, that approximate the Koopman operator from observed data\, making th
 e framework practical for modeling and predicting complex time-series syst
 ems. Finally\, it briefly highlights emerging applications\, including the
  use of Koopman-based representations in areas such as reinforcement learn
 ing and modern data-driven modeling of dynamical systems.\n\nSpeaker’s B
 iography: Jinho Choi was born in Seoul\, Korea. He received B.E. (magna cu
 m laude) degree in electronics engineering in 1989 from Sogang University\
 , Seoul\, and M.S.E. and Ph.D. degrees in electrical engineering from Kore
 a Advanced Institute of Science and Technology (KAIST) in 1991 and 1994\, 
 respectively. He is with the School of Electrical and Mechanical Engineeri
 ng\, the University of Adelaide\, Australia\, as a Professor. His research
  interests include the Internet of Things (IoT)\, wireless communications\
 , and statistical signal processing. He authored two books published by Ca
 mbridge University Press in 2006 and 2010 and one book by Wiley-IEEE in 20
 22. Prof. Choi received a number of best paper awards including the 1999 B
 est Paper Award for Signal Processing from EURASIP. He is a Fellow of the 
 IEEE and has been on the list of World’s Top 2% Scientists by Stanford U
 niversity since 2020. Currently\, he is a Senior Editor of IEEE Wireless C
 ommunications Letters and an Associate Editor of IEEE Trans. Mobile Comput
 ing. He has also served as a Division Editor of Journal of Communications 
 and Networks (JCN)\, an Associate Editor or Editor of other journals inclu
 ding IEEE Trans. Communications\, IEEE Communications Letters\, JCN\, IEEE
  Trans. Vehicular Technology\, and ETRI journal.\n\nRoom: CB10.03.290_Meet
 ing Room\, UTS\, Sydney\, New South Wales\, Australia
LOCATION:Room: CB10.03.290_Meeting Room\, UTS\, Sydney\, New South Wales\, 
 Australia
ORGANIZER:Ganyu.Liu@student.uts.edu.au
SEQUENCE:11
SUMMARY:Seminar by Prof. Jinho Choi from the University of Adelaide - Koopm
 an Operator Theory
URL;VALUE=URI:https://events.vtools.ieee.org/m/558885
X-ALT-DESC:Description: <br /><p><span data-olk-copy-source="MessageBody">T
 his talk introduces Koopman operator theory as a framework for analyzing n
 onlinear dynamical systems using linear representations. Since most real-w
 orld systems are nonlinear and difficult to analyze directly\, the Koopman
  approach studies the evolution of observable functions of the system stat
 e\, allowing the nonlinear dynamics to be represented as a linear operator
  in a lifted space. This enables the use of powerful linear tools such as 
 eigenvalue analysis to understand system behavior\, stability\, and long-t
 erm evolution. The talk also discusses data-driven techniques\, including 
 methods such as dynamic mode decomposition and related approaches\, that a
 pproximate the Koopman operator from observed data\, making the framework 
 practical for modeling and predicting complex time-series systems. Finally
 \, it briefly highlights emerging applications\, including the use of Koop
 man-based representations in areas such as reinforcement learning and mode
 rn data-driven modeling of dynamical systems.</span></p>\n<p>&nbsp\;</p>\n
 <p><span data-olk-copy-source="MessageBody">Speaker&rsquo\;s Biography: Ji
 nho Choi was born in Seoul\, Korea. He received B.E. (magna cum laude) deg
 ree in electronics engineering in 1989 from Sogang University\, Seoul\, an
 d M.S.E. and Ph.D. degrees in electrical engineering from Korea Advanced I
 nstitute of Science and Technology (KAIST) in 1991 and 1994\, respectively
 . He is with the School of Electrical and Mechanical Engineering\, the Uni
 versity of Adelaide\, Australia\, as a Professor. His research interests i
 nclude the Internet of Things (IoT)\, wireless communications\, and statis
 tical signal processing. He authored two books published by Cambridge Univ
 ersity Press in 2006 and 2010 and one book by Wiley-IEEE in 2022. Prof. Ch
 oi received a number of best paper awards including the 1999 Best Paper Aw
 ard for Signal Processing from EURASIP. He is a Fellow of the IEEE and has
  been on the list of World&rsquo\;s Top 2% Scientists by Stanford Universi
 ty since 2020. Currently\, he is a Senior Editor of IEEE Wireless Communic
 ations Letters and an Associate Editor of IEEE Trans. Mobile Computing. He
  has also served as a Division Editor of Journal of Communications and Net
 works (JCN)\, an Associate Editor or Editor of other journals including IE
 EE Trans. Communications\, IEEE Communications Letters\, JCN\, IEEE Trans.
  Vehicular Technology\, and ETRI journal.</span></p>\n<p>&nbsp\;</p>
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