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SUMMARY:LMBP-ISM joint workshop 2025
DTSTART:20251127T080000Z
DTEND:20251127T221500Z
DTSTAMP:20260419T145500Z
UID:indico-event-15326@indico.math.cnrs.fr
CONTACT:nourddine.azzaoui@uca.fr\;0473407081
DESCRIPTION:Speakers: Nourddine Azzaoui (Laboratoire de Mathématique Blai
 se Pascal - UCA)\, Tomoko Matsui (The Institute of Statistical Mathematics
 )\n\n\nAI-Driven Statistical & Machine Learning Approaches for Cutting-Edg
 e Natural Hazard Risk Assessment\n\n \nThis workshop aims at promoting in
 teractions and knowledge exchange in statistical learning\, machine learni
 ng\, and intelligent systems. Following the success of previous edition (h
 eld in 2023\, https://indico.math.cnrs.fr/event/10805/)\, this event will 
 gather researchers and students from diverse fields to present recent adva
 ncements\, discuss innovative methods\, and explore practical applications
  in Artificial Intelligence. Special emphasis will be placed on bridging t
 heoretical insights and practical implementations for natural risk managem
 ents and control. Topics in  statistical modelling\, remote sensing\, Art
 ificial intelligence in complex system will be discussed. The workshop wil
 l also highlight the importance of international collaboration\, with acti
 ve contributions from researchers at Tohoku University and the Institute o
 f Statistical Mathematics (ISM) in Japan. Researchers from UCA\, UGA and U
 SMB Chambery will participate alongside their Japanese counterparts. Addit
 ionally\, a dedicated session for student presentations will provide young
  researchers a platform to share their work. Invited keynote presentations
  will complement theoretical discussions\, enhancing participant engagemen
 t and providing valuable networking opportunities. \n\nhttps://indico.math
 .cnrs.fr/event/15326/
LOCATION:Amphi 3 (Laboratoire de Mathématiques Blaise Pascal )
URL:https://indico.math.cnrs.fr/event/15326/
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