Marco S. Nobile, PhD

Associate Professor at the Ca' Foscari University of Venice

 

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

 

Fuzzy Self-Tuning PSO

Settings-free optimization
View project
 

ProCell

Stochastic simulation of cell populations proliferation
View project
 

GPU-powered biochemical simulation

Deterministic and stocahastic simulation accelerated on GPUs
View project
 

surF

Fourier surrogate modeling
View project
 

simpful

Fuzzy-logic reasoning, close to natural language
View project
 

pyFUME

Fuzzy Models Estimation
View project
 

ginSODA

GPU-powered simulation of ODE models
View project
 

pylates

Dilation functions
View project
 

GenHap

Evolutionary inference of haplotypes
View project
 

MedGA

Evolutionary enhancement of bimodal images
View project
 

Deep Learning for Medical Imaging

Deep Neural Networks for image segmentation and classification
View project
 

HyperBeta

Beta-sheet analysis for self-assembling systems
View project

Latest News

Award[…]

Simone Spolaor recipient of EUSFLAT 2020 best PhD thesis award

My former PhD student, Simone Spolaor, was awarded by EUSFLAT for the best 2020 PhD[…]

GPU[…]

New paper on PLOS Computational Biology

GPUs are basically multi-core co-processors performing vectorial computation applying the so-called SIMD paradigm, i.e., the[…]

Complexity[…]

New paper on Scientific Reports

Self-assembling peptides can be useful for clinical applications, for instance as scaffolds based on beta-sheets[…]

Contact

Marco S. Nobile

Department of Environmental Sciences, Informatics and Statistics (DAIS)
Campus Scientifico — Ca’ Foscari University
Via Torino 155, 30172 Venezia Mestre, Italy
marco.nobile@unive.it