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XX Brunel-Bielefeld Workshop on Random Matrix Theory and Applications

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XX Brunel-Bielefeld Workshop on Random Matrix Theory and Applications 
RMT Poster 2024 | RMT Programme 2024

The aim of this workshop is to bring together physicists and mathematicians who work in the field of Random Matrix Theory and its applications. The program will contain talks by the invited speakers on Friday and Saturday as well as a poster session. Applications to present a poster are welcome and should be directed to any of the organisers. Support is available to a limited number of both UK and overseas participants presenting a poster as well as to PhD students from the UK. The programme of the workshop will include the following topics:

  • Universalities in Random Matrix Models
  • Asymptotic Analysis and Free Probability
  • Quantum Chaos and Number Theory
  • Applications in Statistical Physics and Complex Systems

A registration fee of £50 (£25 for students) applies to all workshop participants. 

Registration for the workshop is now closed. For fee payments, please use this .

Invited Speakers: Thomas BOTHNER (Bristol), Giorgio CIPOLLONI (Arizona), Alice GUIONNET (Lyon), Jon KEATING (Oxford), Boris KHORUZHENKO (London), Mario KIEBURG (Melbourne), Arno KUIJLAARS (Leuven), Anna MALTSEV (London), Pierre LE DOUSSAL (Paris), Leonid PASTUR (London), Silvia PAPPALARDI (Cologne), Zeev RUDNIK (Tel Aviv), Tatyana SHCHERBINA (Wisconsin), Roland SPEICHER (Saarland), Pierpaolo VIVO (London)

 Organisers:  (Bielefeld), (Imperial), Dmitry Savin (Brunel), Igor Smolyarenko (Brunel)

For registration and other enquiries, please contact the Conference Office: rmt2024@brunel.ac.uk

Partially funded by SFB1283 "Taming uncertainty and profiting from randomness and low regularity in analysis, stochastics and their applications'' (Bielefeld, Germany), the Heilbronn Institute for Mathematical Research (Bristol, UK), and International Association of Mathematical Physics (IAMP)

For information about past events of this workshop series, please visit this page.