PhD thesis defense
Antonio Ramírez-de-Arellano has defended his PhD thesis entitled Virus Machines: An Unconventional Computing Paradigm.
May 28, 2024

Agustín Riscos-Núñez has become EAI Distinguished Member
The head of the group, Agustín Riscos-Núñez, has become EAI Distinguished Member in 2023.
May 24-26, 2024

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 11 members, and is headed by Agustín Riscos-Núñez, full professor in Computer Science and Artificial Intelligence. Moreover, Mario J. Pérez-Jiménez is the founder of the group, who is currently a Professor Emeritus at the University of Seville, 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

Development of high-performance simulation
tools for bio-inspired models by using massively
parallel architectures, mainly GPU computing.
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.

Engineering-related models

Wide range of applications to various engineering areas,
including engineering optimization, power system fault diagnosis, social robotics, controller design of mobile
robots, or complex systems involving data modeling and process interactions.

This research group is funded by:

000_intro_RGNC_sep2022.pdf1.69 MB