COMCHA Thematic Research Network

Node #13: University of Seville

Dpto. de Ciencias de la Computación e Inteligencia Artificial

Research Group onNatural Computing

1COMCHA meeting, March 7, 2019

Team members

• Part of these 2 groups:

2COMCHA meeting, March 7, 2019

• José Luis Guisado Lizar (EI, Prof. Titular de Univ.)

• Fernando Díaz del Río (Prof. Titular de Univ.)

• Alejandro Linares Barranco (Prof. Titular de Univ.)

• Miguel Ángel Martínez del Amor (Prof. Ayudante Doctor)

• Gabriel Jiménez Moreno (Catedrático de Univ.)

• Antonio Abad Civit Balcells (Catedrático de Univ.)

• Daniel Cagigas Muñiz (Prof. Contratado Doctor)

• Antonio Ríos (Prof. Sustituto Doctor)

• Jesús María Rodríguez Leal (Profesor Asociado)

• David Orellana Martín (PhD Student)

• Daniel Hugo Cámpora Pérez (PhD Student)

Dpto. de Ciencias de la Computación e Inteligencia Artificial

• Computation using bio-inspired models, applied to modelling and simulation of complex systems:

• Cellular Automata:• Laser dynamics, traffic flow

• Membrane Computing (P-Systems):• Population dynamics in ecosystems (zebra

mussel, panda bear, bearded vulture, fault diagnosis in industrial systems)

• Parallel Genetic algorithms:

• Gene Regulatory Networks

• Parallel implementation:• Clusters with message passing

• GPU

• Multrithreading

• Desktop GRID (BOINC)

COMCHA meeting, March 7, 2019 3

Natural Computing in parallel

• Neuromorphic Systems (computation based on spikes) for:

• Vision, audio, sensors processing, motor control for robots…

• Deep Learning and Spiking Neural Networks.

• Computation: FPGAs, Many-core (SpiNNaker), SoC (FPGA+ARM).

• Hardware design, PCB development, VHDL for FPGA circuits, Embedded Systems firmware & drivers development. MATLAB interfaces.

COMCHA meeting, March 7, 2019 4

Neuromorphic Computing: Spike-based processing

Silicon Retina FPGA

Audio signal Cocheogram Sonogram

• Topological data analysis:

• Fast parallel computation of data properties:

• RAG (region adjacency graph)

• Tree of shapes

• Matching of Feature points (stereo vision)

• Parallel architectures: GPUs, SIMD kernels, multithreaded

• Topologic data shapes: Big Data analysis and higher dimensions: R3,R3+t,Rn.

• Applications using embedded systems and Real Time Architectures:

• Wireless Sensors Networks

• Recycling Waste Education project

• Vertical Traffic management for Elevators

• Photovoltaic illumination control

• Warehouse automation and robotics

COMCHA meeting, March 7, 2019 5

Topological Data Analysis -Embedded Systems - Real Time Architectures

Dummy BG sink

258:{62, 54}

49:{54, 82}

165:{14, 4} 200:{24, 9} 226:{48, 37}

77:{18, 10} 179:{18, 10}

92:{10, 2} 194:{10, 2}