Symposium on Mathematical Engineering, in honour of Prof. Thomas Kailath’s 85th Birthday

2020-12-14 ~ 2020-12-18 774

Dates: 14-18 December 2020

Mathematical engineering is the art of solving engineering problems using mathematical means. Mathematical laws characterize many physical and natural phenomena. The same holds for many engineering problems.

The need of original mathematical analysis of engineering problems has greatly increased in recent times, in parallel with the massive development of new engineering fields, especially in the very wide area of information generation and management. The fast increase in the complexity of the systems we use, and the need to use more refined intelligence (as the ability to gather information, evaluate it, derive conclusions from observations and putting in place effective controls) in a large variety of areas requires the development of more refined mathematical means.

Modern fields of endeavor requiring novel mathematical efforts include the handling of large data sets, sensor networking, deep learning, autonomous systems, large scale environmental modeling, and many more. In all these cases, mathematical engineering starts out with the development of effective models (the accurate but simple modeling of engineering phenomena is a major issue in itself), followed by the development of adequate mathematical tools to handle the models and to steer their evolution. This process is perhaps best exemplified by autonomous driving, which still has a long way to go before it can rival the cognitive abilities of a driving human (the reliability of an automatic car driver is still a factor of a thousand off mark, and it will require major mathematical effort to solve just this problem).

This workshop assembles a limited number of research-oriented engineers, many of them among the pioneers in the development of this crucial field, and who want to exchange their ideas, present experiences and share views on how to deal with novel problem challenges in the field.


Name University
Stephen Yau Tsinghua University
Ali H. Sayed École Polytechnique Fédérale de Lausanne,EPFL
Helmut Bolcskei Eidgenössische Technische Hochschule,ETH
Patrick Dewilde Technische Universität München
Vwani Roychowdhury University of California, Los Angeles