COMPUTATIONAL INTELLIGENCE
My main research activity is focused on the development of innovative combinations of Evolutionary Computation, Swarm Intelligence, Fuzzy Logic, and Machine Learning to tackle complex computational problems
HIGH PERFORMANCE COMPUTING
Due to the huge requirements of Computational Intelligence methods, I develop my methods on High Performance Computing infrastructures and, in particular, GPU-based supercomputers
COMPUTATIONAL SYSTEMS BIOLOGY
My research activity is mainly driven by open problems in Computational Systems Biology, e.g., parameter estimation, reverse engineering, image analysis, pattern recognition, efficient simulation and analysis
Research projects
GPU-powered biochemical simulation
Deep Learning for Medical Imaging
Latest News
New paper accepted on IEEE Transactions on Fuzzy Systems
We use Fuzzy Logic to create interpretable models of heterogeneous cellular systems characterized by uncertainty…
Benchmark functions vs parameter estimation: new paper accepted on Applied Soft Computing
For some real world problems, common algorithms can outperform the most advanced meta-heuristics.
GenHap, a novel evolutionary approach for haplotyping, published on BMC Bioinformatics
GenHap is a novel evolutionary method to solve the haplotyping problem. basically subdivides the data[…]
Contact
Marco S. Nobile