Data Driven MAthematical engineering tools for NETworks.

The central objective of this proposal is the analysis, design and implementation of data-driven mathematical engineering methods and numerical algorithms for the analysis, modeling and optimization of networks, as well as network estimation, filtering, identification and control challenges. While inspired by concrete cases from several application areas, the focus of the research in this project, will be on tackling generic network problems starting from quantitative measured data collected from network nodes and links and developing mathematical engineering algorithms to solve them. We will then apply these methods in a wide variety of applications: rivernetworks, weather models, powernetworks, process industry, brain, genetic and acoustic networks.

Keywords:Mining, Identification, Mathematical, Control, Measurements, Optimization, Networks, Engineering

Disciplines:Modelling, Multimedia processing