Welcome

Check program slides:

14th Brainstorming Week on Membrane Computing (BWMC2016)

Available now:

Proceedings of the 13th Brainstorming Week on Membrane Computing (BWMC2015)




Welcome to the Research Group on Natural Computing Site

(What is Natural Computing? click here for more information)

The Research Group on Natural Computing (RGNC, www.gcn.us.es) belongs to the Department of Computer Science and Artificial Intelligence of the University of Seville. The RGNC consists of 12 members. Mario J. Pérez-Jiménez is the head of the group, a full-professor in Computer Science and Artificial Intelligence, and a numerary member of the Academia Europaea (The Academy of Europe), section Informatics.

The research activities of the RGNC focus on the interplay between Computer Science, Mathematics, Biology and Population Dynamics. Specifically, it focuses on the development of enabling technologies based on bio-inspired formal methods, more precisely Membrane Computing, a recent branch of Natural Computing that provides an abstraction of the living eukaryotic cell.




Research lines:

Bio-inspired Models of Computation

Application of new computational paradigms
inspired by living Nature to the setting of
novel frontiers in efficiency. Characterization of
the conjecture P≠NP in these unconventional
models of computation.

Ecological Modelling

Development of probabilistic and multi-
environment models of real ecosystems based on
bio-inspired models of computation.
Development of software tools that allow
ecologists to easily use our models.

High Performance Computing with
Graphics Processing Units (GPUs)

Development of high-performance simulation
tools for bio-inspired models by using massively
parallel architectures such as GPUs.
Management of a GPU cluster inside the group.

Computational Systems Biology

Application of bio-inspired models to the
modelling of cellular systems such as signalling
pathways involved in the uncontrolled
proliferation of tumour cells and in the
communication between bacterial cells.


This research group is funded by: