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| Tenna, Tommaso (U. Côte d’Azur) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Fri, 18. Jul 25, 11:30 |
| Numerical modeling of flocking dynamics with topological interactions | ||
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| Yu, Hui (U. Wien) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Fri, 18. Jul 25, 10:45 |
| Traceability of Water Pollution: An Inversion Scheme Via Dynamic Complex Geometrical Optics Solutions. | ||
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| Meyer, Léo (U. Wien) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Fri, 18. Jul 25, 9:30 |
| Numerical approximation of emergent phase transitions in collective dynamics | ||
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| Kanzler, Laura (U. Sorbonne) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Thu, 17. Jul 25, 15:00 |
| Modelling the evolution of the size-distribution in aquatic ecosystems | ||
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| Ramos Lora, Alejandro (U. Carlos III Madrid) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Thu, 17. Jul 25, 14:00 |
| Asymptotic Behaviour of Integrate-and-Fire Neural Models" | ||
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| Manhart, Angelika (U. Wien) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Thu, 17. Jul 25, 11:30 |
| Using differential equations to explain cell biology | ||
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| Wapstra, Jeroen (Eindhoven U. of Technology) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Thu, 17. Jul 25, 10:45 |
| Approximating Wasserstein Saddle Points in Flocking Models | ||
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| Fellner, Klemens (U. Graz) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Thu, 17. Jul 25, 9:30 |
| Mathematical Models for Lipolysis | ||
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| Bailo, Rafael (Eindhoven U. of Technology) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Wed, 16. Jul 25, 15:15 |
| Pedestrian Models with Congestion Effects | ||
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| Celora, Giulia (U. Oxford) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Wed, 16. Jul 25, 14:00 |
| Self-organisation of migrating multicellular communities | ||
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| Merino Aceituno, Sara (U. Wien) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Wed, 16. Jul 25, 11:30 |
| Macroscopic effects of an anisotropic Gaussian-type repulsive potential: alignment and spatial effects | ||
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| Falco, Carles (U. Oxford) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Wed, 16. Jul 25, 10:45 |
| Modelling adhesion-based phenomena in collective cell migration | ||
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| Poignard, Clair (INRIA U. Rennes) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Wed, 16. Jul 25, 9:30 |
| Modeling perspectives in electroporation-based tumor therapies for deep seated tumors | ||
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| Fontana, Mattia (U. Côte d’Azur) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Tue, 15. Jul 25, 16:00 |
| An in-silico study on the onset of ventricular fibrillation in the presence of LQT8 syndrome | ||
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| Katsaounis, Dimitrios (U. St Andrews) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Tue, 15. Jul 25, 15:15 |
| Multiscale modelling of cancer invasion and metastasis: the effects of tumour heterogeneity | ||
Cancer invasion and metastasis are inherently multiscale processes, shaped by complex interactions between cancer cells and the tumour microenvironment. A central mechanism driving cancer heterogeneity is the Epithelial to Mesenchymal Transition (EMT), which enables cancer cells to switch between phenotypic states with distinct migratory and invasive capabilities. I will first describe a hybrid multiscale model that couples individual-based representations of migrating cancer cells with continuum descriptions of the evolving tumour mass, illustrating how local EMT-driven phenotype changes influence macroscopic invasion patterns. I will then discuss a phenotype-structured population model that incorporates continuous transitions along the epithelial–mesenchymal spectrum, providing a tractable means to study the emergence and maintenance of phenotypic diversity within the tumour. | ||
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| Grandmont, Céline (INRIA U. Sorbonne) | WPI Seminar room, 8th floor Fak.Math. U-Wien OMP1, 1090 Wien | Tue, 15. Jul 25, 14:00 |
| 1D and 0D models of gas diffusion in the lung: sensitivity and optimality analysis of breathing scenarios | ||
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