NEWS:

New internship positions available in our team!

JOIN THE TEAM!

Looking for motivated PhD and MSc students interested in studying/developing advanced Optimization Methods for Data Science Problems. Write me an email if interested.

Here is a list of available MSc/PhD thesis projects:

1. Pruning in Deep Neural Network Training: The Lottery Ticket Hypothesis

2. Methods for Black and White Box Attacks in Deep Neural Networks

3. Optimization Methods for Federated Machine Learning

4. Community Detection in Complex Networks: Optimization/Machine Learning based Approaches

5. Black-Box Strategies for Reinforcement Learning

6. Stochastic First and Zeroth Order Approaches for Machine Learning

7. Persistent Homology and related Problems in Complex Networks

8. Optimization Methods in Data Science

9. Optimal Transport in Machine Learning

10. Applications in Biology and Medicine

CURRENT TEAM

Post Docs

• Chiara Faccio

PhD Students

• Matteo Bergamaschi

• Anthony Palmieri

• Matteo Sanguin

MSc Students

• Laura Salvetti (Mathematics)

• Mattia Liberale (Data Science)

FORMER TEAM MEMBERS

PhD Students

• Sara Venturini

• Enrico Vicario, joint with Luigi de Giovanni

Post-Docs

• Andrea Cristofari 

• Marianna de Santis

• Matteo Pernini

• Damiano Zeffiro

MSc & BSc Students

• Check the Padua Archive

OTHER COLLABORATORS 

• Check the Scopus Co-Author List