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DTSTART;TZID=Europe/Brussels:20260507T130000
DTEND;TZID=Europe/Brussels:20260507T140000
DTSTAMP:20260531T035948
CREATED:20260404T070617Z
LAST-MODIFIED:20260404T070741Z
UID:2653-1778158800-1778162400@www.naxys.be
SUMMARY:Koichiro Yawata (Institute of Science\, Tokyo)
DESCRIPTION:Title: Reduced-Order Control of Coupled Phase Oscillator Populations and Hypergraph-Based Approaches to Combinatorial Optimization Problems\n \nAbstract:  \nIn this seminar\, I will present two recent pieces of work from my research: one on reduced-order control of coupled oscillator populations and another on hypergraph-based approaches to combinatorial optimization. \n1. Reduced-Order Control of Coupled Oscillator Populations via Frequency-Dependent Forcing\nWe propose a frequency-dependent forcing framework for heterogeneous populations of coupled phase oscillators. Using the Ott-Antonsen ansatz\, we derive a low-dimensional description of the collective dynamics and study control methods for the macroscopic phase and synchronization level. \n2. Hypergraph Neural Networks Accelerate MUS Enumeration\nWe propose a hypergraph-neural-network-based method for accelerating MUS enumeration in constraint satisfaction problems. By combining hypergraph modeling with reinforcement learning\, the method reduces satisfiability checks and improves enumeration efficiency. \nThis seminar will take place in Room S08 at the Faculty of Sciences.
URL:https://www.naxys.be/event/koichiro-yawata-institute-of-science-tokyo/
CATEGORIES:NAXYS Seminar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260528T130000
DTEND;TZID=Europe/Brussels:20260528T140000
DTSTAMP:20260531T035948
CREATED:20260518T105053Z
LAST-MODIFIED:20260526T074359Z
UID:2666-1779973200-1779976800@www.naxys.be
SUMMARY:Sandrine Ngamga (Université de Dschang\, Cameroun)
DESCRIPTION:Title: The chimera states in a network of Huygens pendulums examined with Gopal’s indices and recurrence analysis \nAbstract:  \nChimera states\, defined by the coexistence of coherent and incoherent domains in coupled oscillator networks\, arise in a wide variety of systems and play a key role in understanding symmetry breaking\, partial synchronisation\, and stability in extended dynamical networks. Their emergence has been widely reported in chemical\, biological\, and electronic systems\, but remains far less explored in purely mechanical oscillators\, despite their relevance for structural dynamics\, robotic assemblies and mechanical metamaterials. In this work\, we investigate the collective behaviour of a one-dimensional network of self-sustained Huygens pendulums and demonstrate the emergence of several chimera regimes. Besides classical chimera and multi- chimera patterns\, we identify three additional forms : (i) a Quasi-Coherent Chimera\, where a weakly perturbed coherent domain coexists with a highly agitated incoherent region; (ii) a Multi-Cluster Chimera\, consisting of several coherent clusters separated by incoherent bands ; and (iii) a new EvenOdd Structured Chimera\, in which coherent oscillators form two interlaced spatial clusters. This last state cannot be detected by the standard Gopal indicators : the Strength of Incoherence (S) and the Discontinuity Measure (DM) because their nearest-neighbour formulation suppresses the evenodd alternation. To overcome this limitation\, we propose a modified version of Gopals indices\, which successfully identifies the EvenOdd Structured Chimera. Independent validation using Recurrence Quantification Analysis (RQA) to confirm the coherent and incoherent organisation for all chimera types. These results show that mechanical oscillator networks can host an unexpectedly rich variety of chimera states\, and that combining modified local indicators with recurrence-based diagnostics provides a robust framework for detecting both standard and highly structured chimera patterns. \nThis seminar will take place in Room S08 at the Faculty of Sciences.
URL:https://www.naxys.be/event/sandrine-ngamga-universite-de-dschang-cameroun/
CATEGORIES:NAXYS Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260608T130000
DTEND;TZID=Europe/Brussels:20260608T140000
DTSTAMP:20260531T035948
CREATED:20260506T135357Z
LAST-MODIFIED:20260528T090237Z
UID:2663-1780923600-1780927200@www.naxys.be
SUMMARY:Francesco Ferranti (Université de Luleå)
DESCRIPTION:Title: Artificial Intelligence-based Design\, Multiscale Simulations\, Advanced Characterization and Monitoring for Complex Physical Systems \nAbstract:  \nRecent advances in artificial intelligence (AI) are opening new significant opportunities for the design\, modeling\, and operation of complex physical systems as next-generation electromagnetic and electronic systems in applications as communications\, computing\, sensing\, and imaging. This seminar will present research results on AI techniques for electromagnetic design\, with applications as metasurfaces\, defective ground plane filters\, and THz sensors. These techniques allow exploring a large variety of layouts and build models that can be used for efficient and accurate design tasks (e.g.\, optimization and uncertainty quantification tasks). Some results where physical insight and equivalent circuits representations are used instead of more general black-box descriptions will be shown. Connections with topics as system identification\, surrogate modeling\, and model order reductions\, and physical properties of dynamical systems as causality\, stability\, and passivity will be illustrated. \nThe seminar will also present multiscale simulation and design methodologies\, focusing on hybrid approaches that combine full-wave electromagnetic solvers with ray-tracing techniques. Such methods are particularly relevant for the design and analysis of metalenses and metasurface-enabled propagation environments\, where accurate local electromagnetic modeling must be integrated with large-scale wave propagation analysis. Applications of metasurfaces in fluorescence endoscopy imaging and lab brain tissue validation will be shown. \nFinally\, the seminar will also discuss automated characterization and monitoring techniques for complex physical systems\, including compressed-sensing-based fault identification in antenna arrays\, embedded element pattern characterization methods\, and adaptive behavioral modeling of power amplifiers from selectively acquired measurement data. AI approaches for electromagnetic spectrum anomaly detection and spectrum intelligence\, and hardware-software codesign will also be briefly addressed. \nThis seminar will take place in Room S09 at the Faculty of Sciences.
URL:https://www.naxys.be/event/francesco-ferranti-universite-de-lulea/
CATEGORIES:NAXYS Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20261001T130000
DTEND;TZID=Europe/Brussels:20261001T140000
DTSTAMP:20260531T035948
CREATED:20260402T100822Z
LAST-MODIFIED:20260408T162039Z
UID:2650-1790859600-1790863200@www.naxys.be
SUMMARY:Nelly Litvak (Eindhoven University of Technology)
DESCRIPTION:Title:  \nAbstract:  \nThis seminar will take place in Room S08 at the Faculty of Sciences.
URL:https://www.naxys.be/event/nelly-litvak-eindhoven-university-of-technology/
CATEGORIES:NAXYS Seminar
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