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
Computational Biomedicine
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
High-Performance Computing
Computational Intelligence methods have extreme computational requirements. Thus, I develop my methods on High Performance Computing infrastructures and, in particular, GPU-based supercomputers
Let’s do research together!
Very open to
interdisciplinary research!
Let’s talk
Do you want to cooperate with me and leverage my expertise for your research? Please contact me on LinkedIn, bluesky, or by email. Find my contacts in the “About me” section.
THAITI — Precision Medicine
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Medical Imaging
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Proteomics
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ProCell: cell proliferation analysis
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SDEGnO: predicting cosmic radiation
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pyFUME: interpretable AI
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Drug design and nano-analyses
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FanFAIR: datasets fairness
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Behavioral ecology
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Fuzzy Self-Tuning PSO: settings-free global optimization
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Simpful: a python library for fuzzy logic
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GPU-powered simulation
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I am now member of EU’s AI Advisory Forum
I am glad to announce that I have been selected for the AI Act Advisory[…]
A nice shot from the event “Intelligenza Artificiale tra sapere, formazione e cura”
On April 10th, 2026 I had the honour of giving the opening keynote at the[…]
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Contact
Marco S. Nobile
Department of Environmental Sciences, Informatics and Statistics (DAIS)
Campus Scientifico — Ca’ Foscari University
Alfa Building, Room 514
Via Torino 155, 30172 Venezia Mestre, Italy
marco.nobile@unive.it