Pouya Manshour, PhD
Researcher in Complex Systems, Timeseries Analysis, Complex Networks and Causal Inference.
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences
Prague, Czech Republic
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences
Prague, Czech Republic
I am a complex systems physicist working at the intersection of nonlinear dynamics, stochastic processes, and information theory. I develop integrated model-based and data-driven frameworks to analyze complex networks and time series, offering advanced methodologies that significantly enhance the characterization and predictability of real-world dynamical systems. Across diverse domains, including climate dynamics, turbulence, space weather, neural synchronization, and social systems, my work addresses fundamental questions concerning predictability limits, causal structures, and the statistical mechanisms underlying complex behaviors, in particular extreme events.
Model-Based and Data-Driven Approaches to Extreme Events Characterization in Complex Systems
Social Balance Dyanmics on Complex Networks: Physics Informed Modeling
Contagion Spreading on Complex Networks: Local Stochastic Dynamics
Complex Networks Approaches into Timeseries Analysis: Identification of Linear and Nonlinear Correlations
Synchronization in Complex Systems: Kuramoto Model in High-dimensional Spaces
Evolutionary Game Theory in Complex Systems: Applications in Social and Biological Systems
Causal Inference in Space Weather: Information-Theoretic Approaches
Estimating Intrinsic Time Delays as well as Interaction Lags in Complex Systems
Reconstruction and Prediction of Complex Systems: Data-Driven and Model-Based Methods
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