Research Group on Natural Computing

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

Dpt. Computer Science and Artificial Intelligence
Office H1.46. E.T.S. Ingeniería Informática
Avda. Reina Mercedes s/n, 41012, Sevilla (Spain)
Telf.: +34 954 55 79 53
E-mail: dorellana 'at' us.es

• 21-22/10/2023: Impartido el curso Modelos computacionales no convencionales dentro del programa de Doctorado en Ciencias Computacionales de la Universidad Politécnica Salesiana de Ecuador.
• 23/09/2023: Parallel Virus Machines invited speak at ITAT 2023.
• 2023-current: Assistant Professor at the University of Seville (US), as a member of the Department of Computer Science and Artificial Intelligence and the Research Group on Natural Computing (Spain).
• 2022: Fundamentals of Accelerated Data Science with RAPIDS by NVIDIA Deep Learning Institute.
• 2021: Fundamentals of Deep Learning by NVIDIA Deep Learning Institute.
• 2021: 12th International School on Rewriting at Complutense University of Madrid (Spain).
• 2021: Midlands Graduate School in the Foundations of Computing Science 2021 at University of Birmingham (United Kingdom).
• 2021-2023: Talento Doctores (PID Junta Andalucía) fellow at the University of Seville (US), as a member of the Research Group on Natural Computing (Spain).
• 2020: Fundamentals of Accelerated Computing with CUDA C/C++ by NVIDIA Deep Learning Institute.
• 2019-2021: ERCIM fellow at the Norwegian University of Science and Technology (NTNU), as a member of the Computing Research Group (Norway).
• 2019: Symposium on 50 Years of Complexity Theory: A Celebration of the Work of Stephen Cook from The Fields Institute (Canada).
• 2019: Summer School “Caleidoscope : Complexity as a Kaleidoscope” from Institut Henri Poincaré (France).
• 2019: PhD in Computer Science from the University of Seville (Spain).
• 2017: Third International School on Biomolecular and Biocellular Computing at Polytechnic University of Valencia (Spain).
• 2016: Summer School “Programming and Tuning Massively Parallel Systems” from Barcelona Supercomputing Center (Spain).
• 2016: Master of Science Degree in Logic, Computation and Artificial Intelligence from Seville University (Spain).
• 2014: Engineering Degree in Computer Science from Seville University (Spain).
• 2013: Second International School on Biomolecular and Biocellular Computing at Polytechnic University of Madrid (Spain).

• University of Seville, Research Service "SISIUS" profile
• University of Seville, Bibliometry Service "Prisma" profile
• ResearcherID
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• Open access digital archive of Universidad de Sevilla, "idUS" profile
• Genealogy Mathematics Project personal page