Ferdinando Fioretto
Scholar

Ferdinando Fioretto

Google Scholar ID: ASf9Q04AAAAJ
University of Virginia
AI for Science and EngineeringResponsible AIDifferential Privacy
Citations & Impact
All-time
Citations
2,807
 
H-index
24
 
i10-index
45
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Awarded NSF-RI grant for 'Generative Models for Scientific Exploration'
  • Recipient of Google Faculty Research Award, Amazon Research Award, Cohere for AI Research Grant, NVIDIA Academic Grant, and support from LaCross Institute
  • Multiple papers accepted at NeurIPS 2025 (including a Spotlight), on physics- and logic-constrained diffusion models
  • Paper 'Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming' accepted at CDC-2025
  • Published open-access book 'Differential Privacy in Artificial Intelligence: From Theory to Practice', covering theory, algorithms, applications, implementation, and legal/ethical frameworks
  • Released preprints on discrete-guided diffusion for multi-robot planning, GP-based stability-constrained ACOPF, and an SoK on data minimization in machine learning
  • Mentored student Michael Cardei to win NSF GRFP Scholarship Award
Background
  • Assistant Professor of Computer Science at the University of Virginia
  • Leads the Responsible AI for Science and Engineering (RAISE) group
  • Research focuses on two key themes: Foundation Models for Science and Engineering, and Responsible AI (emphasizing privacy, safety, and fairness)
  • Develops foundations to integrate predictive and generative models with neuro-symbolic reasoning for complex scientific and engineering problems
  • Research supported by the National Science Foundation, Google Faculty Research Award, Amazon Research Award, Cohere For AI Research Grant, NVIDIA Academic Grant, LaCross Institute, and the University of Virginia
Co-authors
0 total
Co-authors: 0 (list not available)