W dniach 6-7 grudnia 2019 r. na Wydziale Matematyki odbędzie się konferencja „Stochastic and AI Modeling of Complex Systems" organizowana przez Centrum Steinhasa. Na konferencji wystąpią zaproszeni naukowcy z dużych naukowych ośrodków zagranicznych z Niemiec, Anglii, Hiszpanii, Izraela i USA oraz osoby ze znanych firm świadczących usługi w zakresie technologii informatycznych takich jak Nokia i Capgemini, Więcej informacji na temat konferencji można znaleźć na stronie organizatora.
Program sesji:
| Piątek, 6 grudnia, budynek C-11 sala P01 | |
| Session I 15.00 - 16.30 |
Diego Krapf (Colorado State University), Heterogeneous anomalous diffusion in the cytoplasm of mammalian cells Igor Sokolov (Humboldt-Universität zu Berlin), Generalized diffusion equations and subordination schemes Jan Palczewski (University of Leeds), Time-constrained Automated Machine Learning via high-dimensional stochastic control |
| Session II 16.45 - 18.15 |
Janusz Szwabiński (WUST), Classification of SPT data with machine learning methods Witold Pawlus (Nokia, Wrocław), ML-based forecasting of electronic components deliveries in supply chain management applications Piotr Szajowski (Capgemini, Wrocław), Anomaly Detection in Real Sequential Data - Where a Surprise Can Happen? |
| Sobota, 7 grudnia, budynek C-11 sala P01 | |
| Session III 9.00 - 10.30 |
Davide Calebiro (University of Birmingham), Complex diffusion and trafficking govern the spatiotemporal dynamics of receptor signalling Wanli Wang (Bar Ilan University), Transport in disordered systems: the single big jump approach Jakub Ślęzak (WUST), From diffusion in compartmentalized media to non-Gaussian random walks |
| Session IV 10.45 - 12.15 |
Carlo Manzo (University of Vic), A quantitative view of protein organization and diffusion Agnieszka Wyłomańska (WUST), Time averaged mean square displacement for Gaussian processes. Theory and Applications Samudrajit Thapa (Potsdam University), Characterizing random motion on the basis of large deviation property |
| Session V 13.00 - 14.30 |
D. Robert Iskander (WUST), Bootstrap-based optimal model selection for nonlinear systems Erez Aghion (Max Planck, Dresden), Grzegorz Sikora (WUST), Statistical test for fractional Brownian motion based on detrending moving average algorithm |
| Session VI 14.45 - 16.15 |
Gianni Pagnini (BCAM, Bilbao), Power-law distributions as a footprint of ensemble heterogeneity Aleksei Chechkin (Potsdam University), From first passage and arrival for alpha-stable random motion to efficiency and reliability for Lévy flight random search Michał Balcerek (WUST), Testing of fractional Brownian motion in a noisy environment |