One of the main forms of impact of the DSSC project is that it has helped the ESRs to start building their scientific reputation and careers. Currently, all of our ESRs are cited in the academic community and their findings are adopted by their peers. All the ESRs who graduated from the programme have begun new positions in Europe and abroad, both in academia and in the private sector.
At an organisational level, we are also proud that our model of interdisciplinary research and training was adopted at a greater scale through the establishment of a new initiative, the Jantina Tammes School for Digital Society, Technology, and Artificial Intelligence that encourages interdisciplinary projects in areas including Big Data, which are developed on a larger scale at the University of Groningen and which connect to society.
In what concerns our research results, they consist of:
- several new algorithms for the computation of so-called alpha trees, both sequential and shared-memory parallel, suitable for extreme dynamic range data;
- novel methods for visual exploration of large and multidimensional datasets for pattern finding;
- codes built on Distributed Connected Component Filtering and Analysis, which have been further expanded to include self-organising map (SOM) codes and codes that allow features in the SOMs to be selected and visualised.
- several algorithms for the automatic design of controllers from data, which solve problems like - to name a few - the online learning of controllers for switched systems and the data-driven design of nonlinear and safe controllers;
- new techniques for the problems of open-ended learning, online incremental learning, and explainable learning;
- tailor-made model reduction techniques for integrated energy systems, in particular model reduction techniques even if the data are not rich enough to identify the underlying energy system;
- new machine and deep learning algorithms for source detection and characterisation from large astronomical datasets taken at radio wavelengths;
- new paths towards understanding the cosmic web, and exploiting its cosmological information content, which surpass previous attempts and studies that invoked topological data analysis;
- modelling and control methods for a novel deformable mirror technology which utilises special piezoelectric material exhibiting large hysteresis property in order to realize high-density actuator array systems for deformable mirrors.
The publications based on these results are available at
https://research.rug.nl/en/organisations/centre-for-data-science-and-systems-complexity-dssc(s’ouvre dans une nouvelle fenêtre)
