SPECIAL SESSION

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)

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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Recent Advances in Tensor-like Nonlinear System Models Over Various Semirings

Prof. John Baras (Distinguished University Professor and endowed Lockheed Martin Chair in Systems Engineering, University of Maryland, USA)

Some algebraic considerations for nonlinear stochastic realization

Prof. Sankar Basu (National Science Foundation, USA)

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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Safety verification using data-driven reachability computation

Prof. Karl Johansson (Royal Institute of Technology, Stockholm, Sweden)

From Parametrization to Stochastic Modeling of Higher-Order Processes

Prof. Jan Zarzycki, Dr. Agnieszka Wielgus (Wroclaw University of Science and Technology, Poland)