Published Results from Engineering, Research, and Development Activities
About this book: The author's research on a wide range of systems and problems was generally confronted with five characteristics, i.e., complex, interacting, transporting, reacting, and heterogeneous systems. Hence, we refer to these kind of systems as Complex Heterogeneous Systems (CHeSs).
The book investigates ways of defining complexity, computing percolation thresholds, making smart decisions also by learning from data/past experiences (e.g., providing a systematic approach towards battery management systems), and identifying battery life (e.g., by blow-up analysis of highly nonlinear concentrated solutions).
- Bridges gaps between rigorous mathematics, the sciences, and applications.
- Elaborates methods to understand, control, optimize, and develop new CHeSs.
- Establishes the multiscale frameworks' importance beyond quantum computing.
Scientific Work with Business and Industrial Relevance
Our interdisciplinary understanding and valuable experience of reliably modeling real and practical systems goes back to research at ETH, MIT, Imperial College, and the Maxwell Institute in Edinburgh thanks to publicly funded research projects by the Swiss National Science Foundation and the Engineering and Physical Sciences Council, UK.
Reliable and Rational Decision-Making
We motivate a well-established Decision Framework (DF) as a simple enough and systematic tool enabling extensions up to accommodating learning from collected and measured data. Such a DF’s combined use with the currently driven progress in Machine Learning (ML) performing real time classification and identification tasks, for instance, allows for highly complex in time AI applications.
