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)

Plenary Talks

• Alexander Hramov
  Immanuel Kant Baltic Federal University, Kaliningrad, Russia
  AI and network theory approachesfor studing and diagnosing brain disorders
• Evgenii Kuznetsov
  P.N. Lebedev Physical Institute of RAS, Skolokovo Institute of Science and Technology, Moscow, Russia
  Symmetry approach to the problem of the gas expansion into a vacuum
• Drozdstoy Stoyanov
  Medical University of Plovdiv, Plovdiv, Bulgaria
  Machine learning for solutions of the mind brain problem in psychiatry

Invited Speakers

• Andrey Andreev
  Immanuel Kant Baltic Federal University, Kaliningrad, Russia
  Reservoir computing as an effective tool for predicting the behavior of stochastic systems
• Artem Badarin
  Immanuel Kant Baltic Federal University, Kaliningrad, Russia
  Representation and classification of fMRI data using reservoir computing and spatial patterns
• Ranjib Banerjee
  BML Munjal University, Sidhrawali, India
  A Hybrid Framework for Optimized and Diversified Stock Portfolio Construction Using Clustering, Causal Inferencing and Reservoir Computing: Evidence from NIFTY 50
• Tanmoy Banerjee
  University of Burdwan, Burdwan, India
  Symmetry-breaking dynamics of coupled oscillators in the quantum regime
• Boris Bezruchko
  Saratov State University, Saratov, Russia
  Application of the method for analyzing the coupling between oscillators by modeling their phase dynamics, relying on the spectral properties of the EEG
• Alexander Dmitriev
  IRE RAS, Moscow, Russia
  Multiscale of life and intelligence
• Denis Goldobin
  Institute of Continuous Media Mechanics, UB RAS, Perm, Russia
  Macroscopic self-organization of recurrent synaptic networks beyond the diffusion approximation
• Alexander Hramov
  Immanuel Kant Baltic Federal University, Kaliningrad, Russia
  AI and network theory approachesfor studing and diagnosing brain disorders
• Artur Kadurin
  AIRI, Moscow, Russia
  AI for Drug Discovery
• Anatoly Kamchatnov
  Institute of Spectroscopy Russian Academy of Sciences, Moscow, Russia
  Hamiltonian theory of ring dark solitons
• Anatoli Karavaev
  Saratov State University, Saratov, 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, Yaroslavl, Russia
  Dynamics of chains of connected systems with a large number of elements
• Alexey Kazakov
  University Higher School of Economics, Nizhny Novgorod, Russia
  Robust chaos in the generalized Kuramoto model
• Marina Khramova
  Immanuel Kant Baltic Federal University, Kaliningrad, Russia
  Neurotechnologies in education: personalization of learning through a recommendation service
• Michael Kiselev
  Chuvash State University, Cheboksary, Russia
  Numeric Model of Spiking Neural Network CoLaNET Learning Process
• Alexey Kovalev
  AIRI, MIPT, Moscow, Russia
  Agents with memory for partially observable Markov decision
• Semen Kurkin
  Immanuel Kant Baltic Federal University, Kaliningrad, Russia
  Analysis of simplicial complexes as an effective approach for detecting higher-order interactions in complex networks: application examples
• Evgenii Kuznetsov
  P.N. Lebedev Physical Institute of RAS, Skolokovo Institute of Science and Technology, Moscow, Russia
  Symmetry approach to the problem of the gas expansion into a vacuum
• Ivan Oseledets
  AIRI, Moscow, Russia
  TBA
• Alexey Ossadtchi
  National Research University Higher School of Economics, Moscow, Russia
  Interpreting brain activity with nonlinear and neural network based models
• Vladimir Ponomarenko
  Saratov Branch of Kotelnikov Institute of RadioEngineering and Electronics of Russian Academy of Sciences, Saratov, Russia
  Image recognition using a small spiking neural network
• Vladimir Semenov
  Saratov State University, Saratov, Russia
  Control of deterministic and stochastic wavefront propagation for networks of bistable oscillators
• Nadezhda Semenova
  Institute of Physics, Saratov State University named after N.G. Chernyshevsky, Saratov, Russia
  The impact of internal noise on deep and spiking neural networks
• Aleksander Sergeev
  Institute of Industrial Ecology, UB RAS, Ekaterinburg, Russia
  Application of machine learning and evaluation of model performance in environmental forecasting tasks
• Lev Smirnov
  Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
  Dynamics of large oscillator ensembles with random interactions
• Drozdstoy Stoyanov
  Medical University of Plovdiv, Plovdiv, Bulgaria
  Machine learning for solutions of the mind brain problem in psychiatry
• Kristina Stoyanova
  Research Institute at Medical University of Plovdiv, Plovdiv, Bulgaria
  Machine Learning in The Assessment of The Nomological Organization of Traits
• Galina Strelkova
  Saratov State University, Saratov, Russia
  Beneficial role of noise in the dynamics of complex networks: chimera resonance
• Tatiana Vadivasova
  Saratov State University, Saratov, Russia
  Effects of coupling and noise in networks of excitable FitzHugh–Nagumo neurons
• ladimir Vanovskiy
  Skolkovo Institute of Science and Technology, Moscow, Russia
  AI technologies for modelling complex physical processes. Case of self-supervised computational graph coarsening
• Yong Xu
  Northwestern Polytechnical University, Xi'an, China
  The pseudo-analytical probability solution to parameterized Fokker-Planck equations via deep learning
• Jinjie Zhu
  Nanjing University of Aeronautics and Astronautics, Nanjing, China
  Phase dynamics of noise-induced coherent oscillators