Antonio Ramírez-de-Arellano-Marrero | Research Group on Natural Computing

Affiliation:
Interim Substitute Professor
Research interests

I'm interested in mathematical methods, and non-conventional computing models. The use of them solving computationally hard problems can be very helpful in a wide spectrum of areas, both theoretical, such as issues with computational complexity theory, computability theory and so on, and applications, such as in biology, physics, socials sciences, etc. The intrinsic parallelism hidden in nature help us to simulate this kind of biological systems (P systems, neural networks, DNA computers, genetic algorithms...) in a more efficient way, simulating it by parallel platforms such that GPUs and FPGAs. My main research interests are

Computational Complexity Theory Natural Computing Membrane Computing Cryptography Mathematical methods Machine learning High Performance Computing

Contact information

Dpt. Computer Science and Artificial Intelligence
Office E1.66. E.T.S. Ingeniería Informática
Avda. Reina Mercedes s/n, 41012, Sevilla (Spain)
E-mail: aramirezdearellano 'at' us.es

Publications

2024

Xian, R., Xiong X., Peng H., Wang J., Ramírez-de-Arellano-Marrero A., & Yang Q. (2024). Feature fusion method based on spiking neural convolutional network for edge detection. Pattern Recognition. 147, 110112. Abstract

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2023

Ramírez-de-Arellano, A., Orellana-Martín D., & Pérez-Jiménez M. J. (2023). Generating, computing and recognizing with virus machines. Theoretical Computer Science. 972, 114077.

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Orellana-Martín, D., Ramírez-de-Arellano A., Andreu-Guzmán J. A., Romero-Jiménez Á., & Pérez-Jiménez M. J. (2023). A Protocol for Solutions to DP-Complete Problems through Tissue Membrane Systems. Mathematics. 11, 2797. Abstract

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Ramírez-de-Arellano, A., Orellana-Martín D., & Pérez-Jiménez M. J. (2023). Using Virus Machines to Compute Pairing Functions. International Journal of Neural Systems. 33, 2350023. Abstract

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Bai, X., Huang Y., Peng H., Wang J., Yang Q., Orellana-Martín D., et al. (2023). Sequence recommendation using multi-level self-attention network with gated spiking neural P systems. Information Sciences. 119916. Abstract

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2022

Ramírez-de-Arellano, A., Orellana-Martín D., & Pérez-Jiménez M. J. (2022). Basic Arithmetic Calculations Through Virus-Based Machines. (Ferrández Vicente, José Manuel, Álvarez-Sánchez, José Ramón, de la Paz López, Félix, Adeli, Hojjat, Ed.).Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. 403–412. Abstract

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Additional information

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