NWP-1

Nonlinear Dynamics and Machine Learning

Chairs

• Stefano Boccaletti, CNR- Institute of Complex Systems, Italy
• Vladimir Nekorkin, Institute of Applied Physics RAS, Russia

Scientific Secretary

• Vladimir Klinshov, Institute of Applied Physics RAS, Russia

Program Committee

• Boris Bezruchko, Saratov State University, Russia
• Alexander Dmitriev, Kotelnikov Institute of Radioengineering and Electronics RAS, Russia
• Igor Franović, Institute of Physics Belgrade, Serbia
• Chao Gao, Northwestern Polytechnical University, China
• Alexander Hramov, Immanuel Kant Baltic Federal University, Russia
• Sergey Kashchenko, P.G. Demidov Yaroslavl State University, Russia
• Ljupčo Kocarev, Macedonian Academy of Sciences & Arts (MASA), North Macedonia
• Evgenii Kuznetsov, Lebedev Physical Institute RAS, Russia
• Nikolai Kuznetsov, Saint Petersburg State University, Russia
• Elbert Macau, Federal University of Sao Paulo, Brazil
• Ivan Oseledets, Artificial Intelligence Research Institute, Russia
• Alexey Ossadtchi, Higher School of Economics, Russia
• Alexander Pisarchik, Technical University of Madrid, Spain
• Nikolai Rozanov, Saint Petersburg ITMO University, Russia
• Oleg Rudenko, Moscow State University, Russia
• Eckehard Schöll, Technical University of Berlin, Germany
• Galina Strelkova, Saratov State University, Russia
• Tetsushi Ueta, Tokushima University, Japan

Topics

• Collective phenomena in oscillatory systems
• Nonlinear dynamics of reservoir computing
• Chaotic, adaptive, higher-order dynamical networks
• Spiking, recurrent, neuromorphic neural networks and machine learning

• IX Scientific School “Dynamics of Complex Networks and their Applications” (DCNA 2025)

Invited Speakers

• Andrey Andreev
  Immanuel Kant Baltic Federal University, Russia
  Reservoir computing as an effective tool for predicting the behavior of stochastic systems
• Artem Badarin
  Immanuel Kant Baltic Federal University, Russia
  Representation and classification of fMRI data using reservoir computing and spatial patterns
• Tanmoy Banerjee
  University of Burdwan, India
  Symmetry-breaking dynamics of coupled oscillators in the quantum regime
• Boris Bezruchko
  Saratov State University, Russia
  Application of the method for analyzing the coupling between oscillators by modeling their phase dynamics, relying on the spectral properties of the EEG
• Evgeny Burnaev
  Skolkovo Institute of Science and Technology, Russia
  TBA
• Alexander Dmitriev
  Kotelnikov Institute of Radioengineering and Electronics, Russia
  Multiscale of life and intelligence
• Igor Franović
  Institute of Physics Belgrade, Serbia
  Coherence-incoherence patterns in arrays of coupled excitable elements
• Evgeny Frolov
  Artificial Intelligence Research Institute, Russia
  Dynamic learning of user preferences at an interface of linear and non-linear recommender models
• Xilin Fu
  Shandong Normal University, China
  TBA
• Denis Goldobin
  Institute of Continuous Media Mechanics, Russia
  Macroscopic self-organization of recurrent synaptic networks beyond the diffusion approximation
• Alexander Hramov
  Immanuel Kant Baltic Federal University, Russia
  AI and network theory approaches for studying and diagnosing brain disorders
• Marina Hramova
  Immanuel Kant Baltic Federal University, Russia
  Neurotechnologies in education: personalization of learning through a recommendation service
• Jun Jiang
  Xi'an Jiaotong University, Russia
  Methodology for global analysis in nonlinear dynamical systems combining space discretization and deep learning
• Artur Kadurin
  Artificial Intelligence Research Institute, Russia
  AI for Drug Discovery
• Anatoly Kamchatnov
  Institute of Spectroscopy Russian Academy of Sciences, Russia
  Hamiltonian theory of ring dark solitons
• Anatoli Karavaev
  Saratov State University, Russia
  Using the models of photoplethysmogram and electrocardiogram signals to adjust the method for detection of the synchronization between biological systems
• Sergey Kashchenko
  P.G. Demidov Yaroslavl State University, Russia
  Dynamics of chains of connected systems with a large number of elements
• Alexey Kazakov
  HSE University, Russia
  TBA
• Michael Kiselev
  Chuvash State University, Russia
  Smoothed Dynamic Learning Model of the Spike Neural Network CoLaNET
• Alexey Kovalev
  Artificial Intelligence Research Institute, Russia
  Agents with memory for partially observable Markov decision processes
• Semen Kurkin
  Immanuel Kant Baltic Federal University, Russia
  Analysis of simplicial complexes as an effective approach for detecting higher-order interactions in complex networks: application examples
• Andrey Kuznetsov
  Artificial Intelligence Research Institute
  TBA
• Evgenii Kuznetsov
  Lebedev Physical Institute, Russia
  Expansion of quantum gases into vacuum
• Ivan Oseledets
  Artificial Intelligence Research Institute, Russia
  TBA
• Alexey Ossadtchi
  Higher School of Economics, Russia
  Interpreting brain activity with nonlinear and neural network based models
• Vladimir Ponomarenko
  Saratov State University, Russia
  Image recognition using a small spiking neural network
• Aleksander Sergeev
  Ural Federal University, Russia
  Application of machine learning and evaluation of model performance in environmental forecasting tasks
• Sudeshna Sinha
  Indian Institute of Science Education and Research, India
  Mastering Chaos with Physics Aware Neural Networks
• Drozdstoy Stoyanov
  Medical University of Plovdiv, Bulgaria
  Identifying neural network structures, explained by personality traits by means of machine learning
• Galina Strelkova
  Saratov State University, Russia
  Constructive role of noise in the collective dynamics of complex networks
• Tatiana Vadivasova
  Saratov State University, Russia
  Effects of coupling and noise in networks of excitable FitzHugh–Nagumo neurons
• Yong Xu
  Northwestern Polytechnical University, China
  The pseudo-analytical density solution to parameterized Fokker-Planck equations via deep learning
• Jinjie Zhu
  Nanjing University of Aeronautics and Astronautics, China
  Phase dynamics of noise-induced coherent oscillators