Luca Corbucci
Scholar

Luca Corbucci

Google Scholar ID: TXjmMzAAAAAJ
PhD Student @ University of Pisa
Privacy Preserving Machine LearningFairnessFederated LearningExplainable AI
Citations & Impact
All-time
Citations
28
 
H-index
3
 
i10-index
1
 
Publications
9
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • July 28, 2025: Successfully defended my PhD thesis with grade Summa cum laude!
  • July 11, 2025: Our paper 'An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items' has been accepted at ECAI 2025.
  • May 22, 2025: Accepted to the ELLIS Summer School 2025 on Trustworthy AI.
  • April 11, 2025: Our paper 'Benefits of the Federation? Analyzing the Impact of Fair Federated Learning at the Client Level' has been accepted at ACM FAccT 2025.
  • March 30, 2025: Our paper 'Differentially Private FastSHAP for Federated Learning Model Explainability' has been accepted at IJCNN 2025.
  • September 21, 2024: My talk proposal has been accepted at Pycon IT 2025, see you in Bologna!
Research Experience
  • No specific work experience or research projects mentioned.
Education
  • Ph.D. in Computer Science from the University of Pisa.
Background
  • Ph.D. in Computer Science, focused on Privacy, Fairness, and Explainability in Federated Learning. Currently looking for new opportunities (postdoc or research scientist roles) in Responsible AI.
Miscellany
  • No other personal interests or hobbies mentioned.