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SUMMARY:Learning the Learners: A Meta-Learning Approach for System Identif
 ication
DTSTART:20260210T140000
DTEND:20260210T153000
DTSTAMP:20260413T043151Z
UID:4ce7c06d1c71faa5997cb0c653387ee50bf738343bdf669b3a844af1
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof Dario Piga Professor at the SUPSI–IDSIA Dalle Molle In
 stitute for Artificial Intelligence in Lugano\, Switzerland.\n\nDr Marco F
 orgione\, Senior Researcher\, IDSIA Dalle Molle Institute for Artificial I
 ntelligence in Lugano\, Switzerland.\nAbstract:\nIn recent years\, system 
 identification has greatly benefited from machine learning\, particularly 
 for modeling complex\, nonlinear dynamical systems with partially unknown 
 physics. However\, learning black-box models with standard approaches ofte
 n requires large datasets and substantial computational resources. This ta
 lk explores meta-learning as a promising alternative. Rather than relying 
 on manually designed system identification algorithms\, we use meta-learni
 ng techniques to learn the learning procedure itself from a collection of 
 datasets\, so that it is optimally adapted to an entire class of problems.
 \n\nBiography:\nDario Piga is a Professor at the SUPSI–IDSIA Dalle Moll
 e Institute for Artificial Intelligence in Lugano\, Switzerland\, and the 
 founder and head of the LEarning for Optimization and coNtrol (LEON) gro
 up at IDSIA. His main research interests include system identification\,
  control theory\, machine learning\, and nonlinear optimization. He has se
 rved as Principal Investigator on several research projects in collaborati
 on with international industry partners\, focusing on the development of i
 nnovative AI-based and control systems for applications in manufacturing\,
  transportation\, and the biomedical and chemical sectors. He has served a
 s a member of the Conference Editorial Board of the IEEE Control Systems S
 ociety (2018–2025) and of the Conference Editorial Board of the European
  Control Association (2020–2025). He is currently an Associate Editor of
  the IFAC journal Automatica and Chair of the IEEE-CSS Technical Committ
 ee on System Identification and Adaptive Control.\nMarco Forgione receive
 d his M.Sc. degree in Computer Engineering from the University of Pavia\, 
 Italy\, in 2009\, and his Ph.D. degree in Systems and Control Engineering 
 from the Delft University of Technology\, The Netherlands\, in 2014. He wa
 s a Postdoctoral Researcher at École Centrale de Lyon\, France\, from 201
 4 to 2015\, and subsequently an R&D Control Engineer at Whirlpool EMEA\, I
 taly\, from 2015 to 2018. He is currently a Senior Researcher at the IDSIA
  Dalle Molle Institute for Artificial Intelligence in Lugano\, Switzerland
 . His research interests lie at the intersection of machine learning\, sys
 tem identification\, and automatic control.\n 
LOCATION:ME C2 405 https://plan.epfl.ch/?room==ME%20C2%20405
STATUS:CONFIRMED
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