Dynamics Days Europe 2025

Minisymposia

Call for minisymposia

The call for organizing Minisymposia is opened. Interested organizers may send their proposal to ddeu2025@auth.gr

The proposal should contain

1.  Names, affiliations and contact details of organizers.

2. Title and a short description (one paragraph) for the topic of the proposed minisymposia.

3. A tentative list of potential speakers (names and affiliations).

A minisymposium should have a total duration of 120min. It may have 4 talks of 30 min duration (25 min presentation plus 5 min for questions), but other forms may be suggested as well, e.g. 6 talks of 20 min duration (17  min presentation plus 3 min for questions). A minisymposium may have more than one two-hour session, e.g., part I and part II.

Decision for acceptance / rejection of the proposed minisymposium will be communicated within a week after the proposal is made.

Regarding the submission of the talks in the minisymposium, this is done by invitation of the minisymposia organizers. The submissions are then directed to the minisymposia organizers, who collect them and forward them to the DDE2025 organizers (by email to ddeu2025@auth.gr). The minisymposium organizers may want to suggest to their minisymposium participants to use the abstract template DDE2025 uses for the contributed talks (see Submission web-page). 

All presenters in the minisymposium should be registered (see Registration web-page).

 

List of minisymposia

The following minisymposia will take place in DDE2025. The exact dates/times will be added when the program is announced. Please note that as for now the list of speakers is tentative.

MS1 Session Title: Multistability and Nonlocal Stability Analysis

Session Organisers:
Datseris, George, University of Exeter
email: G.Datseris@exeter.ac.uk
Rossi, Kalel Luiz, University of Oldenburg,
email: kalel.luiz.rossi@uni-oldenburg.de

Several dynamical systems are multistable: they exhibit a coexistence of stable solutions, formally called attractors. Examples include power grids, climate components, the brain, mechanical and metabolic systems, to name a few. Perturbations, such as noise or external shocks, can induce transitions between these attractors – which, depending on the application, may be either desirable or catastrophic. It becomes crucial therefore to study the stability in such multistable systems. Typically stability is studied using local bifurcation analysis and continuation, but this approach can be unsuitable for real-world applications where perturbations are finite-sized instead of infinitesimal. This calls for a nonlocal view of stability. Recent progress has enriched the literature with various quantities that can be used as quantifiers of nonlocal stability: basin stability or volume, the geometry of the basins, basin entropy, return time, minimal fatal shock, and other notions of resilience. In this minisymposium we want to highlight and promote recent research that explores one or several of the following categories:

– novel indicators of nonlocal stability
– novel techniques for finding multiple system attractors and/or their basins of attraction
– nonlocal stability analysis and continuation of multistable systems
– multistability in high-dimensional systems
– very high (10+) or extreme multistability (infinitely many coexisting attractors)
– multistability in chaotic systems

Part I

1. Kalel Rossi
Theoretical Physics/Complex Systems, ICBM, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany, and  Lise Meitner Group Cellular Computations and Learning, Max Planck Institute for Neurobiology of Behaviour – Caesar, Bonn, Germany
Title: Transients Versus Network Interactions Give Rise To Multistability Through Trapping Mechanism

2, Yuanzhao Zhang
Santa Fe Institute, USA
Title: Twists, triangles, and tentacles: A guided tour of high-dimensional basins in networked dynamical systems

3. Muhammed Fadera
University of Exeter, Department of Mathematics and Statistics, Centre for Systems, Dynamics and Control, Exeter, United Kingdom
Title: An Optimisation-based Approach to Extracting and Explaining Trained Reservoir Computers with Excitable Network Attractors

4. Arturo C. Marti
Physics Institute, Universidad de la República, Montevideo, Uruguay
Title: From initial conditions to attractors: Transient dynamics and predictability in infinite-dimensional delayed systems

Part II

5. Dawid Dudkowski
Department of Dynamics, Lodz University of Technology, Lodz, Poland
Title: Basin Stability for Updating System Uncertainties

6. Alex Wagemakers
Nonlinear Dynamics, Chaos and Complex Systems Group, Departamento de Física, Universidad Rey Juan Carlos, Madrid, Spain
Title: Exploring multistability with Basin Entropy

7. Andreas Morr
Potsdam Institute for Climate Impact Research, Complexity Science, Potsdam, Germany
Title: Comparing Resilience Concepts in Bifurcating Systems of Intermediate Complexity (20 min)

8. George Datseris
University of Exeter, Department of Mathematics and Statistics, Exeter, United Kingdom
Title: Open discussion on the minisymposium topic and its future

MS2 Session Title: Advances in Theoretical and Practical Applications for Infectious Diseases and Control

Session Organisers:
Steindorf, Vanessa, Basque Center for Applied Mathematics, Bilbao, Spain
email: vsteindorf@bcamath.org
Aguiar, Maíra, Basque Center for Applied Mathematics, Bilbao, Spain
email: maguiar@bcamath.org

Focused on future research directions for modeling the spread of pathogens capable of causing new outbreaks, this interdisciplinary symposium aims to promote timely debates exploring various approaches in epidemiology, particularly on the mathematical modeling of infectious respiratory and vector-borne diseases. Key discussions will cover recent advances in mathematical epidemiology, offering a comprehensive look at both theoretical methods and practical applications. Topics will include the role of temporal and spatial dynamics in disease transmission, the challenges of predicting epidemic trends, improving predictive models to inform public health strategies, and the integration of environmental and human behavior factors into models. By bridging theory and practice, the symposium aims to enhance tools for disease control and outbreak preparedness.

Part I

1. Abdessamad Tridane
Department of Mathematical Sciences, United Arab Emirates University, UAE
Title: A Data-driven Mathematical Modelling Approach for Vector-borne Diseases

2. Vanessa Steindorf
Basque Center for Applied Mathematics, Bilbao, Spain
Title: Mapping Dengue Incidence in Thailand: Four Decades of Spatial-temporal Patterns

3. Giulio Pisaneschi
University of Pisa, Department of Information Engineering, Pisa, Italy
Title: Emerging Threats in Temperate Climates: A Stochastic Analysis of Autochthonous Dengue Transmission in Fano, Italy

4. Urszula Skwara
Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw, Warsaw, Poland
Title: Indeterminacy of Stability in a Two-strain Host-vector Dengue Model with Vertical Transmission

Part II

5. Maíra Aguiar
Basque Center for Applied Mathematics, Bilbao, Spain
Title: Modeling Dengue Dynamics: Unraveling the Impact of Homologous Reinfections

6. Nico Stollenwerk
Basque Center for Applied Mathematics, Bilbao, Spain
Title: Import Driven Large Fluctuations in Critical and Subcritical Percolation, State of the Art and Future Perspectives

7. Paula Patricio
Center for Mathematics and Applications (NOVA Math), and Department of Mathematics, NOVA FCT, Lisbon, Portugal
Title: Imitation-driven Vaccination Strategy Can Generate Complex Dynamics Modulated by Immunity

8. Gustavo Cruz Pacheco 
Department of Mathematics and Mechanics, Universidad Nacional Autónoma de México, México
Title: Coupled Dynamics of Dengue and Zika Infections: The Case of Brazil

MS3 Session Title: Quantum chaos in few and many body systems

Session Organiser:
Robnik, Marko, CAMTP – Center for Applied Mathematics and Theoretical Physics, University of Maribor, Maribor, Slovenia
email: marko.robnik@guest.um.si

The talks will cover the topics on most recent results in quantum chaos of few and many body systems. We shall address the semiclassical behavior of quantum systems, and their correspondence to the associated classical chaotic systems, as well as the studies of quantum systems without a classical analog. In particular, we shall focus on the following aspects: spectral statistics, phase space localization of eigenstates, the statistical properties of the localization measures, ergodicity properties and their hierarchy, dissipative quantum systems, localization and thermalization, time evolution, in particular studies of OTOC (out-of-time order correlators). Several model systems will be presented and analyzed, on which the phenomenological results are based, as well as they are a basis for theoretical approaches.

Part I

1. Liang Huang (30 min)
 Lanzhou Center for Theoretical Physics, Lanzhou University, China
Title: The Correspondence Principle, Ergodicity, and Finite-Time Dynamics

2. Marko Robnik (30 min)
CAMTP, University of Maribor, Slovenia
Title: Semiclassical behavior of eigenstates in mixed-type systems

3. Thomas Guhr (30 min)
University of Duisburg-Essen, Germany
Title: New, exact results for quantum chaotic scattering

4. Juan Diego Urbina (30 min)
University of Regensburg, Germany
Title: Quantum Chaotic Signatures in Low-dimensional Quantum Gravity: the Periodic Orbit Theory Perspective

Part II (110 min)

5. Qian Wang (30 min)
CAMTP, University of Maribor and Zhejiang Normal University, Jinhua, China
Title: Charactering the mixed eigenstates in kicked top model through the out-of-time-order correlator

6. Hua Yan (30 min)
CAMTP University of Maribor, Slovenia
Title: Scarring and antiscarring in quantum chaotic systems

7. David Benjamin Villasenor (30 min)
Perez, CAMTP, University of Maribor and UNAM, Mexico
Title: Potential pitfalls in addressing dissipative quantum chaos

8. Matic Orel (20 min)
CAMTP, University of Maribor, Maribor, Slovenia
Title: Mushroom billiards II: Structure of quantum eigenstates and their localization properties

MS4 Session Title: Neural Dynamics Across Spatiotemporal Scales: Models, Learning Processes, Computational Tools, and Clinical Applications

Session Organisers:
Manos, Thanos, ETIS Lab, CY Cergy Paris Université, France
email: thanos.manos@cyu.fr 
Torcini, Alessandro, LPTM, CY Cergy Paris Université, France
email: alessandro.torcini@cyu.fr 
Provata, Astero, Institute of Nanoscience and Nanotechnology, National Center for Scientific Research “Demokritos”, Greece
email: a.provata@inn.demokritos.gr

Neural networks and collective behavior represent leading research frontiers in complex systems theory. The human brain exemplifies a complex neural network, self-organizing into emergent states essential for its functions. Neural activity within individual nodes is often modeled using systems of ordinary differential equations. Such dynamical models offer a theoretical framework to explore the interplay between localized population dynamics and the intricate topology of brain networks, shedding light on overall brain activity. They also account for various forms of plasticity, such as synaptic and structural plasticity, and their influence on the system’s dynamics. This dynamical-modeling approach bridges concepts from mathematics, physics, and dynamical systems theory with empirically observed phenomena. For instance, it establishes connections between attractors, bifurcations, synchronization, and empirical neuroimaging data, including blood-oxygen-level-dependent (BOLD) signals from functional magnetic resonance imaging (fMRI). This mini symposium will feature expert-led discussions on the latest advancements in complex networks, collective behavior, synchronization phenomena, self-organization, neurocomputational platforms, and their diverse clinical applications.

Part I – Chairperson: Astero Provata

1 Alessandro Torcini
LPTM, CY Cergy Paris Université, CNRS, Cergy-Pontoise, France
Title: Is the cortical dynamics ergodic? A numerical study in partially-symmetric networks of spiking neurons

2. Pau Clusella
EPSEM, Departament de Matemàtiques, Universitat Politècnica de Catalunya, Manresa, Spain
Title: Low-dimensional model for adaptive networks of spiking neurons

3. Diego Pazó
Institute of Physics of Cantabria, University of Cantabria-CSIC, Santander, Spain
Title: Ensembles of Riccati Equations: Dimensionality Reduction and Application to Neuroscience

4. Roberto Barrio
Departamento de Matemática Aplicada and IUMA. Computational Dynamics group, Universidad de Zaragoza, Spain
Title: Dynamics of Coupled Neural Populations: The Role of Synaptic Dynamics

Part II – Chairperson: Alessandro Torcini

5. Klaus Lehnertz
University of Bonn Medical Center, Department of Epileptology, Venusberg Campus 1, Bonn, Germany
Title: Epileptic seizures as extreme events in large-scale brain networks

6. Thanos Manos
ETIS Lab, ENSEA, CNRS, CY Cergy-Paris University, Cergy, France
Title: Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes

7. Jeroen van Schependom
Department of Electronics (ETRO), Brussels, Belgium
Title: Transient Brain Dynamics as Objective Biomarkers of Cognitive Dysfunction in Multiple Sclerosis

8. Christos Liontas
Institut de Neurosciences des Systèmes, Theoretical Neurosciences Group, Marseille, France
Title: Exploring Brain Response to Temporal Interference Stimulation with the Help of Virtual Brain Twins: the NAUTILUS Project

Part III – Chairperson: Thanos Manos

9. Sandra Diaz-Pier
Simulation and Data Lab Neurosicence, Jülich Supercomputing Centre, Institute for Advanced Simulations, Forschungszentrum Jülich GmbH, Jülich, Germany
Title: Using Structural Plasticity to Explore the Relationship between Structure and Dynamics in Spiking Neural Networks

10. Tomislav Stankovski
Faculty of Medicine, Ss. Cyril and Methodius University, Skopje, North Macedonia
Title: Neural Coupling Functions: Inference and Applications

11. Raphael Bergoin
Institute of Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
Title: Coherent and rich neuronal dynamics supported by different inhibition mechanisms

12. George Baxevanis
School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Title: Inductively Coupled Josephson Junctions: A Platform for Rich Neuromorphic Dynamics

MS5 Session Title: Applications of ordinal patterns-based complexity quantifiers for experimental time-series

Session Organisers:
Pattanayak, Arjendu K., Department of Physics and Astronomy, Carleton College, Northfield, USA
email: arjendu@carleton.edu 
Aragoneses, Andrés, Physics Faculty, Whitman College, Walla Walla, USA
email: aragonea@whitman.edu

Recent advances in time-series analysis have highlighted the value of ordinal patterns-based complexity quantifiers as robust tools for understanding dynamical systems. These measures, based on permutation entropy and other metrics applied to symbolic analysis of the time-series, provide a computationally efficient means of uncovering hidden patterns, underlying temporal symmetries, and regime changes in experimental data. Applications span diverse fields such as neuroscience, climatology, finance, quantum chaos, and photonics, including the characterization of time-series regularity, detection of transitions in complex systems, and classification of families of chaos.

In this mini-symposium we want to bring together researchers to explore the breadth of applications for these methods from across the fields listed above. Topics include, but are not limited to, the characterization of time-series regularity, detection of transitions in complex systems, and quantification of complex dynamics.

By focusing on both theoretical advancements and real-world implementations, this symposium aims to foster interdisciplinary dialogue and stimulate innovation in the analysis of experimental time-series data.

Part I

1. Juan Gancio
Universitat Politècnica de Catalunya, Department de Fisica, Barcelona, Spain
Title: Orientated spatial ordinal patterns

2. Giulio Tirabassi
Universitat de Girona, Departament di Informàtica, Matemàtica Aplicada i Estadistica, Girona, Spain
Title: A Spatial Symbolic Analysis Of North Atlantic Chlorophyll Fields

3. Juan A. Almendral
Universidad Rey Juan Carlos, Complex Systems Group & GISC, Móstoles, Spain, and Universidad Politécnica de Madrid, CTB, Pozuelo de Alarcón, Spain
Title: Local Predictors of Explosive Synchronization Using Ordinal Methods

4. Arjendu Pattanayak
Department of Physics and Astronomy, Carleton College, Northfield, MN, USA
Title: Thermodynamics, information entropy, and cell fates: Mapping transcriptomics to embryonic development in Drosophila

Part II

5. Mathias Marconi
Université Côte d’Azur, CNRS, Institut de Physique de Nice, Nice, France
Title: Anticipating and identifying the threshold bifurcation of a complex laser with permutation entropy

6. Andrés Aragoneses
Physics department, Whitman College, Walla Walla, WA, USA
Title: Complex dynamics and universality patterns of photonic neurons under ordinal patterns-based complexity measures

7. Felipe Olivares
Institute for Cross-Disciplinary Physics and Complex Systems IFISC (CSIC-UIB), Palma, Spain
Title: Hypothesis Testing Via the Permutation Jensen-Shannon Distance. Applications to Flight Landing Flow and Delays

8. Miguel Soriano
Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (UIB-CSIC), Palma, Spain
Title: Identifying Ordinal Similarities at Different Temporal Scales with Permutation Jensen-Shannon Distance

MS6 Session Title: Patterns of synchrony and asynchrony in oscillatory media and networks

Session Organisers:
Pikovsky, Arkady, Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany,
email: arkady.pikovsky@gmail.com

Nepomnyashchy, Alexander, Department of Mathematics, Technion – Israel Institute of Technology, Haifa, Israel,
email: nepom@technion.ac.il

It is known that the same nonlinear system can perform synchronous oscillations or display asynchronous or disordered behavior, depending on some delicate differences in parameters and conditions. The synchronization can happen despite a disorder within the system, while synchronous oscillations can be spontaneously destroyed by internal instabilities. The synchronous and disordered dynamics can coexist. The goal of the minisymposium is to present the panorama of phenomena related to synchronization and desynchronization in networks of oscillators and oscillatory media, and elucidate their common features and dynamic patterns.

Part I

1. T. Matteuzzi, F. Bagnoli, M. Baia, S. Iubini, A. Pikovsky (speaker)
Arkady Pikovsky, Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany
Title: Internal reliability and anti-reliability in dynamical networks.

2. S. Olmi (speaker), A. Politi
Simona Olmi, Institute of Complex Systems, CNR in Sesto Fiorentino, Florence, Italy
Title: Crisis in time-dependent dynamical systems.

3. R. Cestnik (speaker), F. Augustsson, E. Martens
Rok Cestnik, Center for Mathematical Sciences, Lund University, Lund, Sweden
Title: Exact dimensional reduction in globally coupled systems.

4. O. Omelchenko
Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany
Title: On the dynamics of two-dimensional oscillator arrays: The interplay of heterogeneity and nonlocal coupling.

Part II

5. S. Lee (speaker), M. Fischer, J. Fleck, M. Thuemler, M. Schroeder, M. Timme
Seungjae Lee, Chair for Network Dynamics, Technical University of Dresden, Dresden, Germany
Title: Shift & tip – theory of fluctuation induced nonlinear responses.

6. I. Sorin (speaker), A. Nepomnyashchy, V. Volpert, A. Bayliss
Idan Sorin, Department of Mathematics, Technion – Israel Institute of Technology, Haifa, Israel
Title: Instability of uniform oscillations in the spatially extended May-Leonard system.

7. A. Provata (speaker), Y. Almirantis, W. Li
Astero Provata, Institute of Nanoscience and Nanotechnology, National Center for Scientific
Research “Demokritos”, Athens, Greece
Title: Synchronization phenomena in networks with bistable plasticity.

8. Dmitry. Turaev,
Dynam IC, Imperial College London, London, UK 
Title: 4-winged Lorentz attractors in a system of 4 oscillators.

MS7 Session Title: Recent trends in dynamical chaos: from theory to applications

Session Organisers:
Kazakov, Alexey, University Higher School of Economics, Nizhny Novgorod, Russia
email: kazakovdz@yandex.ru

Turaev, Dmitry, Imperial College London, London, UK
email: dturaev@imperial.ac.uk

Sinelshchikov, Dmitry, 
Biofisika Institute (CSIC-UPV/EHU), Leioa, Spain
email: disine@gmail.com

The minisymposium is devoted to modern aspects and trends in the theory of dynamical chaos, with focus on higher-dimensional problems. It will cover various topics: dissipative chaos, reversible systems, and Hamiltonian dynamics, theory of local and global bifurcations, theory of pseudohyperbolic, hyperchaotic, and spiral attractors, as well as applications.

Part I

1. Marina Gonchenko (30 min)
Universitat de Barcelona, Departament de Matemàtiques i Informàtica, Barcelona, Spain
Title: On Symmetric elliptic resonant orbits

2. Arturo Vieiro (30 min)
Universitat de Barcelona, Departament de Matemàtiques I Informàtica, Barcelona, Spain
Title: Discrete Averaging and the Dynamics of Near-Identity Maps

3. Ainoa Murillo (20 min)
Universitat de Barcelona, Departament de Matemàtiques i Informàtica, Spain
Title: Dynamics of 3D conservative maps near a normally elliptic invariant curve

4. Efrosiniia Karatetskaia (20 min)
National Research University Higher School of Economics, Nizhny Novgorod, Russia
Title: Bifurcation Mechanisms Leading to the Appearance of Hyperchaotic Attractors with Three Positive Lyapunov Exponents

5. Oleg Shilov (20 min)
National Research University Higher School of Economics, Nizhny Novgorod, Russia
Title: On different types of hyperbolic chaotic sets and bifurcations between them in the perturbed Anosov map

Part II

6. Andrey Vladimirov (30 min)
Weierstrass Institute, Berlin, Germany
Title: Kerr cavity soliton dynamics in a synchronously pumped optical microresonator

7. Dmitry Sinelshchikov (30 min)
Instituto Biofisika (UPV/EHU, CSIC), University of the Basque Country, Leioa, Spain
Title: Nonlinear Dynamics In Two Biologically Relevant Dynamical Systems

8. Alexey Kazakov (20 min)
National Research University Higher School of Economics, Nizhny Novgorod, Russia
Title: On cascades of the Lorenz attractors

9. Vladislav Koryakin (20 min)
National Research University Higher School of Economics, Nizhny Novgorod, Russia
Title: Lorenz attractor in a six-dimensional model describing laser dynamics

10. Kirill Zaichikov (20 min)
National Research University Higher School of Economics, Nizhny Novgorod, Russia
Title: On the boundaries of existence of the wild pseudohyperbolic attractor in the 4D Lorenz-Shilnikov model

MS8 Session Title: Dynamics of physiological networks: from function to malfunction

Session Organisers:
Schöll, Eckehard, Institute for Theoretical Physics, Technische Universität Berlin, Berlin, Germany 
email: schoell@physik.tu-berlin.de

Andrzejak, Ralph Gregor, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
email: ralph.andrzejak@upf.edu

In the human organism, multi-component physiological systems, each with its own regulatory mechanism, continuously interact to coordinate their functions in an integrated network. The dynamics resulting from these interactions exhibits emergent patterns of synchronization or desynchronization which are associated with healthy or pathological states. Examples include tumor dynamics in physiological multilayer networks of organs and the immune system; brain network dynamics; psychiatric interactions of consciousness and decision making, among others. Often phase transitions and critical phenomena occur in such dynamical networks, leading to a plethora of partial synchronization patterns and complex collective behavior.

1. Deniz Eroglu
Faculty of Engineering and Natural Sciences, Kadir Has University, Istanbul, Turkey, and Department of Mathematics, Imperial College London, London, United Kingdom
Title: Reconstructing Brain Network Dynamics: Predicting and Preventing Malfunctions

2. Simona Olmi
CNR-Consiglio Nazionale delle Ricerche—Istituto dei Sistemi Complessi, Sesto Fiorentino, Italy
Title: Patient-Specific Network Connectivity Combined With a Next Generation Neural Mass Model to Test Clinical Hypothesis of Seizure Propagation

3. Frederico Costa
Oncology Department, Hospital Sírio Libanês, São Paulo, Brazil
Title: Modulating Human Hemodynamics: A Network Physiology Approach

4. Günter Schiepek
Institute of Synergetics and Psychotherapy Research, Paracelsus Medical University, Salzburg, Austria
Title: Nonlinear dynamics and flexibility of human change processes – a perspective from Synergetics

MS9 Session Title: Advances in the theoretical understanding and hardware implementations of reservoir computers

Session Organisers:
Flynn, Andrew, School of Mathematical Sciences, University College Cork, Cork, Ireland
email: andrewflynn@ucc.ie

Hizanidis, Johanne, Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Heraklion, Greece
email: hizanidis@physics.uoc.gr 

Lüdge, Kathy, Institute of Physics, Technische Universität Ilmenau, Ilmenau, Germany
email: kathy.luedge@tu-ilmenau.de

Parlitz, Ulrich, Biomedical Physics Group, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
email: ulrich.parlitz@ds.mpg.de

Reservoir computing leverages the response of driven dynamic systems for data-driven modeling, time-series prediction, classification, and control. Historically, recurrent neural networks have primarily served as dynamic reservoirs, but recent developments have extended this general approach to a variety of substrates, including passive and active optical systems, electro-optical systems, magnetic systems, memristors, spin wave systems, swarms, skyrmion textures, biological tissue, and quantum systems. A common goal of these investigations is to improve our theoretical understanding of various reservoir computing approaches and to achieve fast and energy-efficient hardware implementations. This minisymposium brings together experts across these areas to foster new ideas and cooperations which is vital towards advancing reservoir computing.

Part I

1. U. Parlitz (spearker), L. Fleddermann, G. Wellecke, S. Herzog (30 min)
U. Parlitz, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany, and Institute for the Dynamics of Complex Systems, University of Göttingen, Germany
Title: Predicting Chaotic Time Series Using Reservoir Computing

2. C. Räth (speaker), J. Steinegger (30 min)
C. Räth, Institut für Materialphysik im Weltraum, Deutsches Zentrum für Luft- und Raumfahrt (DLR), Linder Höhe, Köln, Germany
Title: Predicting three-dimensional Chaotic Systems with Four Qubit Quantum Systems

3. L. Jaurigue (30 min)
Technische Universität Ilmenau, Institut für Physik, Ilmenau, Germany
Title: Chaotic Attractor Reconstruction Using Small Networks 

4. G. Van der Sande (speaker), J. Lamers, G. Verschaffelt (30 min)
G. Van der Sande, Applied Physics Research Group, Vrije Universiteit Brussel, Brussels, Belgium
Title: Optimizing Ising Machines: Bifurcation Analysis via Continuation Methods for Enhanced Solution Accuracy

Part II

5. Miguel C. Soriano (speaker), Moritz Pflüger, Adam C. Mackowiak, Apostolos Argyris (25 min)
Miguel C. Soriano, Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (UIB-CSIC), Palma, Spain
Title: Fundamental Properties of Semiconductor Laser-Based Reservoir Computers

6. Martin A. Trefzer (speaker), Alexander C. McDonnell, Tian Gan (25 min)
Martin A. Trefzer, University of York, School of Physics, Engineering and Technology, York, UK
Title: Task and Substrate Agnostic Design Principles for Reservoir Computing

7. Lina Jaurigue and Kathy Lüdge (speaker) (20 min)
Kathy Lüdge, Technische Universität Ilmenau, Institut für Physik, Ilmenau, Germany
Title: Time multiplexed reservoir computing using rate-independent hysteresis

8. H. Suetani (speaker)  U. Parlitz (25 min)
H. Suetani, Oita University, Faculty of Science and Technology, Oita, Japan, and
The University of Tokyo, International Research Center for Neurointelligence (WPI-IRCN), Tokyo, Japan
Title: Weak generalized synchronization in echo state networks and its impact on time series forecasting

9. A.Flynn (speaker), J. O’Hagan, A.Amann, A.Keane (25 min)
Andrew Flynn, School of Mathematical Sciences, University College Cork, Cork, Ireland,  and INFANT Research Centre, University College Cork, Cork, Ireland
Title: Confabulation dynamics in a reservoir computer

 

MS10 Session Title: Dynamical Systems meets Machine Learning

Session Organisers:
Nieters, Pascal, Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany
email: pascal.nieters@uni-osnabrueck.de

Vortmeyer-Kley, Rahel, Institute for Chemistry and Biology of Marine Environment, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany
email: rahel.vortmeyer-kley@uni-oldenburg.de  

Machine learning tools have rapidly become integral to the analysis of data from dynamical systems, offering new perspectives on data-driven model development. While classical, theory-driven approaches may rely on simplifying assumptions, purely data-driven methods risk overfitting and can fail to illuminate understanding of the underlying dynamical relationships. Hybrid methods that integrate theoretical knowledge with data-driven components promise a new class of models and open opportunities for automation in the process of scientific discovery. Yet questions persist about how to interpret these models: Do they reveal or obscure key interactions and dynamics compared to more traditional approaches? And what is the scientist’s role in shaping and understanding such frameworks? This minisymposium invites contributions from across the sciences that employ machine learning and AI to identify relationships among dynamic variables and forecast future behavior. We welcome both theoretical and applied work, with the goal of fostering an interdisciplinary dialogue on the benefits, limitations, and emerging opportunities of machine learning for dynamical systems and real-world modeling applications.

1. Rahel Vortmeyer-Kley
Institute for Chemistry and Biology of Marine Environment, Carl von Ossietzky Universität Oldenburg, Germany
Title: Navigating to the right solution when learning bifurcating dynamical systems

2. Lukas Stelz
FIAS, University Frankfurt, Germany
Title: Inferring Local Transmission Networks from Epidemiological Incidence Data

3. Sedighe Raeisi
Institute of Cognitive Science, University of Osnabrück, Germany
Title: Computational discovery of individual differences in cognitive mechanisms

4. Pascal Nieters
Institute of Cognitive Science, University of Osnabrück, Germany
Title: Learning Multiple, Switchable Dynamics in the Same Model: Neuromodulated Dendritic Recurrent Neural Networks

MS11 Session Title: Complex dynamics in cardiac systems

Session Organisers:
Graff, Grzegorz, Gdańsk University of Technology, Gdańsk, Poland
email: grzegorz.graff@pg.edu.pl

Lilienkamp, Thomas,
Technische Hochschule Nürnberg, Nürnberg, Germany
email: thomas.lilienkamp@ds.mpg.de 

Loppini, Alessandro,
Campus Bio-Medico University of Rome, Rome, Italy
email: A.Loppini@unicampus.it

Luther, Stefan,
Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
email: stefan.luther@ds.mpg.de

Parlitz, Ulrich,
Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
email: ulrich.parlitz@ds.mpg.de

This mini-symposium will focus on the development and application of concepts from dynamical systems theory and data analysis to develop new approaches for the diagnosis and treatment of heart diseases. Speakers come from different fields, ranging from basic research to clinical applications, will present their work on the following topics: simulation and control of (chaotic) excitation dynamics in the myocardium, methods to terminate life-threatening cardiac fibrillation, time series analysis to diagnose pathological changes in physiological signals and to quantify the interaction of the heart with other organs, new machine learning methods for analysis and data-driven modeling of complex spatio-temporal data.

Part I

1. O. Berenfeld
University of Michigan, Dept of Internal Medicine – Cardiology, Ann Arbor, Michigan, USA
Title: Onset of Atrial Fibrillation and Electric Power Analysis of Rotor Dynamics

2.  T. De Coster (speaker), S. Deng, B. Ordog, J. Zhang, S.O. Dekker, C.I. Bart, N. Kudryashova, W.H. Bax, B.L. den Ouden, A.V. Panfilov, A.A.F. de Vries1, D.A. Pijnappels
T. De Coster, Laboratory of Experimental Cardiology, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, and Netherlands Heart Institute, Utrecht, The Netherlands
Title: Closed-loop Control Systems for Cardiac Rhythm Regulation 

3. J. Wolter (speaker), U. Parlitz, S. Luther, A. Barthel, S. K. A. Abidi, M. Kunze
J. Wolter, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany, and DZHK (German Centre of Cardiovascular Research), partner site Lower Saxony, Göttingen, Germany
Title: Pulse optimization for low-energy defibrillation using virtual electrodes

4. D. Frühwald, T. Lilienkamp (speaker)
T. Lilienkamp, Nuremberg Institute of Technology Georg Simon Ohm, Computational Physics for Life Science, Nuernberg, Germany, and Max Planck Institute for Dynamics and Self-Organization, Biomedical Physics Group, Goettingen, Germany
Title: About the role of virtual eletrodes in monophasic and biphasic defibrillation

Part II

5. I. Kottlarz (speaker), Y. Döring, N. Voigt, K. Wedgwood, U. Parlitz.
I. Kottlarz, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany, and Institute for Dynamics of Complex System, Georg-August-University Göttingen, Göttingen, Germany, and German Center for Cardiovascular Research (DZHK), Partner Site Lower Saxony, Göttingen, Germany, and Living Systems Institute, University of Exeter, Exeter, United Kingdom
Title: Modelling atrial fibrillation in stem cell induced atrial cardiomyocytes

6. A. Loppini (speaker), M. Nicoletti, A. Crispino, C. Cherubini, A. Gizzi, L. Chiodo, S. Filippi
A. Loppini, Università Campus Bio-Medico di Roma, Department of Medicine and Surgery, Rome, Italy
Title: Cardiac Magnetic Field Modeling in Physiological and Pathological Regimes

7.  B. Graff (speaker), G .Graff, K. Narkiewicz
B. Graff, Medical University of Gdansk, Department of Hypertension and Diabetology, Gdansk, Poland
Title: Exploring Cardiac Dynamics: What If the Problem Isn’t the Heart?

8.  S. Zarychta, K. Proniewska, P. T. Matusik, M. Belmonte, K. Glądys, P. van Dam
S. Zarychta, Jagiellonian University Medical College, Center for Digital Medicine and Robotics, Kraków, Poland, and University Hospital in Kraków, Functional and Virtual 3D Medical Imaging Lab, Kraków, Poland
Title: Visualizing the Complexity of the Cardiac Function: The Power of 3DMedical Educational Tool

MS12 Session Title: Nonlinear Waves meets Stochastic Dynamics

Session Organisers:
Logioti, Anna, Institute of Analysis, Dynamics and Modeling, University of Stuttgart, Stuttgart, Germany
email: anna.logioti@mathematik.uni-stuttgart.de

Hilder, Bastian, Department of Mathematics, Technical University of Munich, Munich, Germany
email: bastian.hilder@tum.de

Nonlinear waves are ubiquitous in natural systems ranging from fluid convection and vegetation systems to cardiac dynamics. Since these systems also naturally exhibit noise, the mathematical analysis of patterns and nonlinear waves in stochastic systems has received much attention over the last years. This minisympoium aims to bring together researchers from both stochastic analysis, dynamical systems, pattern formation, and nonlinear waves to present an overview of the field, give insight into recent results and identify open questions which can only be answered by combining the expertise of both communities.

1. Christian Kuehn,
Department of Mathematics, Technical University of Munich, Germany
Title: Stochastic Spatial Patterns: From Fundamental Waves towards Complex Structures

2. Christian Hamster,
Dutch Institute for Emergent Phenomena, University of Amsterdam, Amsterdam, The Netherlands
Title: Blurring the Busse balloon: Patterns in a stochastic Klausmeier model

3. Alexandra Blessing,
Department of Mathematics and Statistics, University of Konstanz, Germany 
Title: Finite-time Lyapunov exponents and amplitude equations

4. Gideon Chiusole,
Department of Mathematics, Technical University of Munich, Germany
Title: On Travelling Wave Fronts in the Renormalized 2D Stochastic Allen–Cahn Equation

MS13 Session Title: Complex Biophysical Systems: Modelling, Theory and Applications

Session Organisers:
Meng, Yu, Theoretical Physics/Complex Systems, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, Germany
email: yu.meng@uni-oldenburg.de 

Qin, Bo-Wei, Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, China; Shanghai Artificial Intelligence Laboratory, Shanghai, China; MOE Frontiers Centre for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
email: boweiqin@fudan.edu.cn

The extraordinary complexity of biological systems and the understanding of such systems requires the integration of concepts and methods from physics, mathematics and computer science. This minisymposium will explore recent advances in the study of complex biophysical systems, focusing on developments in modelling methods, theoretical frameworks and computational techniques.

The minisymposium topics include theoretical frameworks, mechanistic insights, and applications of complexity science in biology, statistical physics methods, and data-driven and machine-learning modelling approaches. Special attention is given to the application of these methods to neuroscience, biophysics, biological rhythms, and ecosystem population dynamics.

Through talks by experts from multiple disciplines, the aim is to promote insightful discussions on theoretical and applied aspects of the cutting-edge challenges arising from the complexity of biological systems, as well as innovative related technologically approaches, and to facilitate interdisciplinary collaboration to contribute to the further development of the field.

Part I

1. Yu Meng
Carl von Ossietzky University Oldenburg, Germany
Title: Dynamical impact of dispersal on biodiversity patterns for three species food web model

2. Ying-Cheng Lai
Arizona State University, USA
Title: Global phase-space approach to rate-induced tipping in complex biological networks

3. Pierre Haas
Max Planck Institute for the Physics of Complex Systems, Max Planck Institute of Molecular Cell Biology and Genetics, and Center for Systems Biology Dresden, Germany
Title: Dynamics of small ecological communities

4. Bernd Blasius
Carl von Ossietzky University Oldenburg, Germany
Title: Living Under Stress: How a Growth-Tolerance Trade-Off Shapes Diversity and Trait Lumping Along Gradients

Part II

5. Bo-Wei Qin
Fudan University, China
Title: Quantitative theories and computational methods for modulating biological oscillations

6. Daniel Koch
Max Planck Institute for Neurobiology of Behavior, Germany
Title: Criticality governs response dynamics and entrainment of periodically forced ghost cycles

7. Junjie Jiang
Xi’an Jiaotong University, China
Title: Large-scale brain network dynamics driven by the brain structure

MS14 Session Title: Current Trends in Network Dynamics

Session Organisers:
Martens, Erik Andreas, Centre for Mathematical Science, Lund University, Lund, Sweden
email: erik.martens@math.lth.se

Omelchenko, Oleh, Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany,
email: oleh.omelchenko@uni-potsdam.de

Wolfrum, Matthias, Weierstrass Insitute, Berlin, Germany,
email: wolfrum@wias-berlin.de

Bick, Christian, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 
email: cbick@vu.nl

Complex networks are pivotal in understanding a wide range of systems in physics, chemistry, biology, neuroscience, and socio-economic domains. Dynamical networks consist of interacting units that can exhibit complex collective behaviors and patterns. This minisymposium covers the following topics:
– Adaptation / Co-evolution networks where the dynamics of the network and the dynamics on the network are interdependent are crucial for understanding synaptic plasticity, learning, neurodegenerative diseases, with applications in chemical, epidemic, biological, transport, social systems, power grids, and climate networks.
– Higher order networks allow for direct interactions of more than two units. They provide a comprehensive framework for modeling complex systems, induce dynamical phenomena, and pose new challenges for their mathematical understanding.
– Symmetries, bifurcations, phase reduction, and normal forms are important mathematical tools to investigate dynamical systems. Recently, there have been new developments to adapt them to specific types of network systems.
– Synchronization control in neural networks: Many concepts of network dynamics find their application in neuroscience. Various methods for detecting and controlling synchrony are crucial in neural networks and neuroscience, with ongoing research offering potential for new discoveries.

Part I

1. Jürgen Kurths
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Title: Tipping in an adaptive climate network model

2. Jaeyoung Yoon
Technical University of Munich, Department of Mathematics, Garching bei München, Germany
Title: Adaptive Cucker-Smale model and its asymptotic behavior in the singular limit

3. Nina Kastendiek
Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Germany
Title: Phase and gain stability for adaptive dynamical networks

4. Felix Augustsson
Centre for Mathematical Sciences, Lund University, Lund, Sweden
Title: Co-evolutionary dynamics for two adaptively coupled Theta neurons

Part II

5. Eddie Nijholt
USP/ICMC, Department of Applied Mathematics, São Carlos, Brazil
Title: Dimension bounds for systems of equations with graph structure

6. Sören von der Gracht
 Paderborn University, Institute of Mathematics, Paderborn, Germany
Title: Reluctant synchrony breaking in directed hypernetworks

7. Nicolas Thome
School of Natural Sciences, Nonequilibrium Chemical Physics, Technische Universität München, Garching, Germany
Title: Formation and organization of clusters in systems of globally coupled oscillators

8. Matthias Wolfrum
Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany
Title: Hypernetworks induce hyperlocking

Part III

9. Michael Rosenblum
University of Potsdam, Department of Physics, Potsdam, Germany
Title: Inferring collective synchrony while observing only several units

10. Jeff Moehlis
University of California, Santa Barbara, Department of Mechanical Engineering and Program in Dynamical Neuroscience, Santa Barbara, California, USA
Title: Desynchronizing populations of neural oscillators

11. Babette de Wolff
University of Hamburg, Department of Mathematics, Hamburg, Germany
Title: Phase reduction for networks of delay-coupled oscillators

12. Erik A. Martens
Lund University, Centre for Mathematical Sciences, Lund, Sweden
Title: From high-dimensional to low-dimensional dynamics in adaptive networks

MS15 Session Title: Data-driven dynamics: learning, reduction, and analysis

Session Organisers:
Kalia, Manu, Department of Mathematics and Computer Science, Freie Universitaet Berlin, Berlin, Germany
email: m.kalia@fu-berlin.de

Froyland, Gary, School of Mathematics and Statistics, University of New South Wales, Sydney, Australia
email: g.froyland@unsw.edu.au

The broad goal of modelling with dynamical systems is to construct differential equation-based formalisms to replicate observed data. Typically this is done using first principles methods by identifying underlying physical laws. Off late, data-driven techniques inspired by reduced order modelling and machine learning have been successful in learning dynamical systems directly from observed data, even when the state is not directly observed. Machine learning can also be leveraged to learn solution operators for PDEs with the physics-informed formalism. In this minisymposium we explore recent advances in domains such as kernel methods, forecasting, parameter identification and reduced order modelling.

Part I 

1. Boumediene Hamzi (30 min)
Department of Computing and Mathematical Sciences, Caltech, USA
Title: Bridging Machine Learning, Dynamical Systems, and Algorithmic Information Theory: Insights from Sparse Kernel Flows, Poincaré Normal Forms and PDE Simplification

2. Nicolo Botteghi (30 min)
Department of Applied Mathematics, University of Twente, The Netherlands
Title: Invertible Autoencoders for Reduced-Order Modeling of Parametric Partial Differential Equations

3. Gary Froyland (30 min)
UNSW Sydney, School of Mathematics and Statistics, Sydney NSW, Australia
Title: SABON: A Single Autoencoder Basis Operator Network for constructing compact and accurate representations of Koopman and transfer operators

Part II 

4. Kathrin Padberg-Gehle (30 min)
 Leuphana University Lüneburg, Institute of Mathematics and its Didactics, Lüneburg, Germany
Title: Transport and mixing in fluid flows from particle tracks

5. Robin Chemnitz (30 min)
Institute of Mathematics, Freie Universität Berlin, Germany
Title: Computing coherent sets in aperiodic flows

6. Manu Kalia (30 min)
Institute of Mathematics, Freie Universitaet Berlin, Germany
Title: Detecting communities in time-evolving networks using the inflated dynamic Laplacian

MS16 Session Title: Data-driven methods in complex dynamical systems

Session Organisers:
Vlachas, Pantelis, ETH Zurich, Zurich, Switzerland;  Ai2C Technologies AG; Zurich, Switzerland
email: pvlachas@ethz.ch

Kavallaris, Nikos, Karlstad University, Karlstad, Sweden
email: Nikos.Kavallaris@kau.se

Spiliotis, Konstantinos, School of Civil Engineering, Democritus University, Xanthi, Greece
email: kspiliot@civil.duth.gr

The mini-symposium highlights key topics at the forefront of recent discussions within the Dynamics Days community. It explores novel data-driven approaches in dynamical systems, including manifold learning, diffusion maps, machine learning for scientific computing, such as physics-informed neural networks (PINNs), topological data analysis, and system identification concerning both experimental and theoretical works.
Bringing together interdisciplinary research, the symposium spans a wide range of complex systems, including computational biology, computational neuroscience, mathematical epidemiology, climate dynamics, ecological modeling, mobility and crowd dynamics, as well as complex fluids and materials science.
By bringing together researchers from these diverse fields, the symposium fosters cross-disciplinary insights, enabling a deeper and more nuanced extraction of information from experiments than conventional approaches allow.

1. Dr. Nikos Kavallaris, Karlstad University, Sweden
2. Dr. Haralampos Hatzikirou, Khalifa University, UAE
3. Dr. Ioannis Tsoukalas, Democritus University of Thrace, Xanthi, Greece.
4. Dr. Avrillia Konguetsof, Democritus University of Thrace, Xanthi, Greece.
5. Dr. Constantinos Siettos, University of Naples Federico II, Italy.
6. Giannis Papadimitriou, Democritus University of Thrace, Xanthi, Greece.
7. Dr. Jens Starke, University of Rostock, Germany.
8. Niklas Kruse, University of Rostock, Germany.

MS17 Session Title: Nonlinear and chaotic dynamics in photonics and phononics

Session Organisers:
Kuwashima, Fumiyoshi, Otemon Gakuin University, Japan
email: f12_kuwashima@outlook.jp

Isoshima, Takashi, Center for Advanced Photonics, RIKEN, Japan
email: isoshima@riken.jp

The proposed mini-symposium aims at presenting some recent theoretical and experimental progresses on nonlinear, complex and chaotic dynamics in the field of photonics and phononics.
Chaos, instability, and nonlinear dynamics have attracted a lot of attention in recent years in photonics. Laser chaos induced by delayed optical feedback is one of them, and applied to, for example, generate Terahertz (THz) waves efficiently, This is an emergence of Chaotic Supremacy, the new concept to express superior functionality realized only by chaos. Optical bistable device with spatial expanse can also generate chaos using an external refractory feedback, that may achieve pulse network with chaotic time series. Also, in phononics, nonlinear dynamics provides interesting anomalous heat transport.
In view of such situation, we intend in this minisymposium to bridge various photonics and phononics researches including THz technology, nonlinear optics, and nonlinear phononics, to stimulate further studies in these research fields.

1. Fumiyoshi Kuwashima
Faculty of Science and Engineering, Otemon Gakuin  University, Osaka, Japan
Title: Highly efficient THz waves using chaotic supremacy

2. Takashi Isoshima
RIKEN Center  for Advanced Photonics, Wako, Saitama, Japan
Title: Complex Dynamics in Two-dimensional Optical Bistable Device
with Refractory Feedback

3. Kazuyuki Yoshimura
Faculty of Engineering, Tottori University, Tottori, Japan
Title: Thermal attenuation of soliton and anomalous heat transport in the FPUT-β lattice

4. M. Komatsu
Graduate School of System Informatics, Kobe University, Kobe, Japan
Title: Towards Data-Driven modeling of Habituating Systems

MS18 Session Title: Metastability and Transient Dynamics in complex systems

Session Organisers:
Feudel, Ulrike, Institute for Chemistry and Biology of the Marine Environment, Carl von Ossietzky University Oldenburg, Germany
email: ulrike.feudel@uni-oldenburg.de

Lehnertz, Klaus, Department of Physics and Astronomy, University Bonn, Germany
email: Klaus.Lehnertz@ukbonn.de

While a large body of work in nonlinear dynamics is devoted to the long-term behavior of complex systems in form of attractors, recent research emphasizes more and more that transient dynamics is of equal importance when we consider a large variety of phenomena like metastability, chimera states, rate-induced tipping or, more general, non-autonomous dynamical systems. Metastability refers here to a switching process between different dynamical regimes in state space with certain properties (e.g. periodic or chaotic), where each of these regimes lasts for a rather long but transient time before switching/transiting to another such regime. These transient phenomena as well as transitions between metastable states are often mediated by dynamical states of saddle character, such as saddle fixed points, saddle periodic orbits or chaotic saddles, which are the unstable counter parts of chaotic attractors. This minisymposium will discuss the emergence of long transients as well as metastability either related to the existence of chaotic saddles or to steady-states of saddle character, their statistical properties and their importance for various applications in complex systems. The minisymposium will also discuss concepts and methods to identify metastable regimes. The applications will address e.g. climate phenomena, collective motion of agents, neuronal systems, the dynamics of the heart, and ecosystem dynamics. Finally, we will also address the role of noise leading sometimes to extremely long transients.

Part I  Chair Klaus Lehnertz

1. Ulrike Feudel
Theoretical Physics/Complex Systems, ICBM, Carl von Ossietzky University Oldenburg, Germany
Title: Metastability and transient dynamics in neuroscience

2. Timo Bröhl
University of Bonn Medical Center, Department of Epileptology, Bonn, Germany
Title: Tipping Subnetworks during Critical Transitions: A New Pathway to Extreme Events

3. Edgar Knobloch
University of California Berkeley, USA
Title: Stochastic Transitions between Large Scale Vortices and Jets in Two-Dimensional Turbulence

4. Chittaranjan Hens
Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Gachibowli, Hyderabad, India
Title: Dispersal induced persistent dynamics in interacting ecological patches under randomness of network topology

Part II  Chair Ulrike Feudel

5. Aneta Koseska
Cellular computations and learning, Max Planck Institute for Neurobiology and Behavior, Bonn, Germany
Title: Computations and Learning via Transient Dynamics

6. Reyk Börner
University Utrecht, The Netherlands
Title: Ensemble splitting of the Atlantic ocean circulation in a hierarchy of models

7. Kathrin Padberg-Gehle
LEUPHANA University, Lüneburg, Germany
Title: Dynamical compartments in stirred tank reactors

8. Ayanava Basak,
Centre for Mathematical Biology and Ecology, Department of Mathematics, Jadavpur University, Kolkata, India
Title: Partial tipping in bistable ecological systems under periodic environmental variability

MS19 Session Title: Higher-order network dynamics

Session Organiser:
Mölter, Jan, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
email: jan.moelter@tum.de

Complex systems are characterised by the pathways of interactions between their constituents. However, traditionally, these have been reduced to only pairwise interactions, when considering polyadic interactions might actually be more true to the system. In fact, as has been established in the last several years, this crucially affects the system’s phenomenology and, particularly, its emergent dynamics. In this minisymposium, we will discuss recent work concerning and exploring the effects of polyadic or higher-order interactions.

1. Péter Simon,
Eötvös Loránd University, Institute of Mathematics, Budapest, Hungary
Title: Individual-based Modelling of SIS Epidemic Propagation on Hypergraphs

2. Jan Mölter
Technical University of Munich, Department of Mathematics, Munich, Germany
Title: Opinion and Consensus Formation in the Presence of Polyadic Interactions

3. Ana P. Millan
University of Granada, Institute “Carlos I” for Theoretical and Computational Physics, and Electromagnetism and Matter Physics Department, Granada, Spain
Title: Triadic percolation induces dynamical topological patterns in higher-order networks

4. Christian Bick
Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Title: Nonpairwise higher-order phase interactions: When nonlinear coupling meets higher-order expansions

MS20 Session Title: Dynamics of Power Grids: Advances in Modeling, Stability and Control

Session Organisers:
Niehues, Jakob, Potsdam Institute for Climate Impact Research, Germany, and
Technische Universität Berlin, Germany
email: jakobn@pik-potsdam.de

Bačić, Iva, Forschungszentrum Jülich, ICE-1, Jülich, Germany, and Institute of Physics, University of Belgrade, Serbia
email: i.bacic@fz-juelich.de

Power grids are fundamental to modern society. Their many aspects, such as structural design, dynamic modeling, integration with renewable energy sources, or the management of supply-demand fluctuations, have provided a rich landscape for decades of research. Despite extensive studies, many questions remain open. The quest for answers has led researchers to new perspectives, together with the development of novel analytical and numerical methods. In this minisymposium, we explore such recent advances, specifically in power grid modeling and frequency dynamics, stability analysis, phase cohesiveness, synchrony, and control. We focus on current challenges like heterogeneity, unknown dynamics, renewable energy fluctuations, transient dynamics, and cascades. Bringing together researchers with different backgrounds, the minisymposium offers a variety of perspectives on power grids, including dynamical systems theory, machine learning, control theory, and optimization. This year we have decided to give center stage to early- and mid-career researchers.

Part 1: Synchronization and modeling:

1. Iva Bačić
Forschungszentrum Jülich, Germany & Institute of Physics Belgrade, Serbia
Title: Synchronization by convex optimization

2. Kristóf Benedek
HUN-REN Centre for Energy Research and Budapest University of Technology and Economics
Title: How Parametrization Influences Synchronization in a Power Grid Network

3. Anna Büttner
Potsdam Institute for Climate & Humboldt University of Berlin, Germany
Title: A framework for modeling inverter-dominated power system dynamics

4. Xinyi Wen
Karlsruher Institut für Technologie (KIT), Germany
Title: Identifying Complex Dynamics of Power Grid Frequency

Part 2: Linear and transient stability

5. Jakob Niehues
Potsdam Institute for Climate Impact Research & Technische Universität Berlin, Germany
Title: Using Matrix Phases to Prove Linear Stability in Heterogeneous Grids of grid-forming components

6. Verena Häberle
Eidgenössische Technische Hochschule (ETH) Zürich, Switzerland
Title: Virtual Power Plant Control for Future Dynamic Ancillary Services Provision

7. Pere Colet
Instituto de Fisica Interdisciplinar y Sistemas Complejos (IFISC), Spain
Title: Transmission grid stability with large interregional power flows

8. Stefan Kettemann
Constructor University, Bremen, Germany
Title: Transient Dynamics and Propagation of Voltage and Frequency Fluctuations in Transmission Grids

MS21 Session Title: Brain Connectivity and Dynamics: Insights into Health, Disease, and Therapeutic Interventions

Session Organisers:
Paluš, Milan, Department of Complex Systems, Institute of Computer Science of the Czech Academy
of Sciences, Prague Czech Republic
email: mp@cs.cas.cz

Vlachos, Ioannis, Aristotle University of Thessaloniki, Thessaloniki, Greece
email: iovlachos@auth.gr

Methods from nonlinear dynamics, complex systems, and information theory have enriched biosignal analysis, complementing and advancing traditional time series techniques. Significant progress has been made by applying these methods to the analysis of neural signals that characterize brain function. Measures of complexity, scaling, and entropy rates characterize brain dynamics, while measures of synchronization, dependence, and causality provide crucial insights into brain connectivity across different physiological and pathological states or assess the effects of therapeutic interventions. This minisymposium will showcase various methods inspired by nonlinear dynamics, applied in studies aimed at understanding changes in brain function in health and disease.

Part I

1. Ioannis Vlachos
Aristotle University of Thessaloniki, Thessaloniki, Greece
Title: Causality from phases of high-dimensional nonlinear systems, applications on multichannel EEG

2. Madhurima Bhattacharjee
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Title: EEG Causality Analysis in Major Depressive Disorder for Early Prediction of Treatment Outcomes with Pharmacological and Neuromodulation Therapies

3. Anupam Ghosh
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Title: Biomarker to Anticipate Effectiveness of Medications to Treat Major Depressive Disorder Using Kuramoto Framework

4. Jacopo Epifanio
Universitat Pompeu Fabra, Department of Engineering, Barcelona, Catalonia, Spain
Title: The entrainment power of focal and non-focal signals on chimera states

Part II

5. Manuel Adams
Department of Epileptology, University of Bonn Medical Centre, Bonn, Germany
Title: Distinguishing different states of consciousness through ordinal-pattern-based characterization of brain-wide interactions

6. Alessia Caccamo
Living Systems Institute, University of Exeter, Exeter, UK
Title: Dynamics informed priors for mechanistic models of brain dynamics

7. Přemysl Jiruška
Department of Physiology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
Title: The transition to a seizure is accompanied by a loss of resilience across multiple scales

8. Jaroslav Hlinka
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Title: Chasing exotic connectivity patterns in brain activity dynamics: from nonlinear functional connectivity to higher order effective connectivity

2025 - Dynamics Days Europe 2025
IT of AUTh