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
BIOMEDICAL RESEARCH
My research activity is mainly driven by open problems in Computational Systems Biology and Medicine, with an focus on interpretability and explainability issues arising from modern machine learning approaches
Research projects
GPU-powered biochemical simulation
Deep Learning for Medical Imaging
Latest News
New paper on Computer Methods and Programs in Biomedicine
Late Gadolinium Enhancement (LGE) is a standard technique for Cardiovascular Magnetic Resonance (CMR), allowing the[…]
Unsupervised AI and mass-spectroscopy: new paper on Expert Systems with Applications
MALDI mass-spectroscopy is a interesting experimental technique that, in a nutshell, breaks down an organic[…]
Best paper award at IEEE CIBCB 2022
Our manuscript “Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and[…]
Special Issue on IEEE Computational Intelligence Magazine
Computational Intelligence (CI) provides a set of powerful tools to effectively tackle complex computational tasks:[…]
Contact
Marco S. Nobile