Advances in System Modeling: Science- and Data-Based Approaches

Organizer: Prof. Jan Zarzycki

Motivation for this session is to capture and present recent advances in integrating model-based and data-based approaches to I/O system models and system identification (both deterministic as well as stochastic), inherently based on stochastic signal processing.

Keynote lectures:

Advances in Multi-Variable, Non-Gaussian Stochastic Parametrization

Prof. Patrick Dewilde (Honorable Professor, Wroclaw University of Science and Technology, Poland)

Foto of Prof. Patrick Dewilde Patrick Dewilde (EE `66 KULeuven, Belgian Lic. Math. `68 and PhD `70 Stanford University) has been a professor in electrical engineering at the Technical University of Delft for 31 years, director of the Delft Institute for Micro-electronics DIMES for ten years, chairman of the Technology Foundation STW (a major Dutch research funding agency) for eight years and di-rector of the Institute of Advanced Study of the TU Munich for five years.

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Some algebraic considerations for nonlinear stochastic realization

Prof. Sankar Basu (National Science Foundation, USA)

Foto of Prof. Sankar Basu Sankar Basu studied Physics at Presidency College, and Radio Physics and Electronics respectively receiving B.Sc (Hons) and B. Tech degrees from Calcutta University, India. Subsequently, he received PhD in Electrical Engineering from the University of Pittsburgh, and travelled to Germany as an Alexander von Humboldt Fellow.

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Lodz University of Technology
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