Marco S. Nobile
Scholar

Marco S. Nobile

Google Scholar ID: Qd21Ym0AAAAJ
Associate Professor, Ca' Foscari University of Venice
Computational IntelligenceParticle Swarm OptimizationInterpretable AIComputational BiomedicineGPGPU Computing
Citations & Impact
All-time
Citations
2,104
 
H-index
21
 
i10-index
46
 
Publications
20
 
Co-authors
60
list available
Resume (English only)
Academic Achievements
  • He has published several journal articles and conference proceedings. He has also been involved in funded projects and holds patents. He has given talks at various conferences.
Research Experience
  • He is an Associate Professor at the Ca' Foscari University of Venice. He has been involved in multiple research projects such as THAITI — Precision Medicine, Medical Imaging, Proteomics, ProCell: cell proliferation analysis, SDEGnO: predicting cosmic radiation, pyFUME: interpretable AI, Drug design and nano-analyses, FanFAIR: datasets fairness, Behavioral ecology, Fuzzy Self-Tuning PSO: settings-free global optimization, Simpful: a python library for fuzzy logic, and GPU-powered simulation.
Education
  • Associate Professor at the Ca' Foscari University of Venice
Background
  • His 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. His research is mainly driven by open problems in Computational Systems Biology and Medicine, with a focus on interpretability and explainability issues arising from modern machine learning approaches. He develops his methods on High-Performance Computing infrastructures, particularly GPU-based supercomputers.
Miscellany
  • Very open to interdisciplinary research. You can contact him on LinkedIn, Bluesky, or by email.