Description
Complex signals are ubiquitous in non-equilibrium physics, biophysical processes, and in the noise of measurement devices.

The school will provide advanced tools from information theory, statistical physics and machine learning to offer participants key knowledge on stochastic analysis and modelling.

Topics:
  • Control theory                       
  • Entropy foundations
  • Mean field theory and inference methods
  • Information theory
  • Biophysics
  • Stochastic thermodynamics


 
Speakers:
Ada ALTIERI (Université de Paris, France)
Andre C. BARATO (University of Houston, USA)
John BECHHOEFER (Simon Fraser University, Canada)
Jan KORBEL (Complexity Science Hub Vienna, Austria)
Juan MR PARRONDO (Universidad Complutense de Madrid, Spain)
Dimitri PETRITIS (Université de Rennes, France)
Iva TOLIC (Ruder Boskovic Institute Zagreb, Croatia) -- online colloquium
 
Volunteers: Bogdan Djordjević (MISANU, Belgrade, Serbia), Katarina Djordjević (PMF, University of Nis, Serbia), Lazar Stojković (PMF, University of Nis, Serbia)


Deadline for submitting applications:
31 JULY 2022

 
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