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