NEWS:

We have a new Post-doc opening in Optimization! Drop me an email if interested.

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

• COMING SOON!

• Chiara Faccio

PhD Students

• Matteo Bergamaschi

• Enrico Vicario, joint with Luigi de Giovanni (2020-Present)

MSc Students

• Matteo Pernini (Data Science)

• Dandan Zhao (Data Science)

• Gabriele Sanguin, joint with M. Viola (Data Science)

FORMER TEAM MEMBERS

PhD Students

• Sara Venturini

Post-Docs

• Andrea Cristofari 

• Marianna de Santis

• Damiano Zeffiro

MSc & BSc Students

• Check the Padua Archive

OTHER COLLABORATORS 

• Check the Scopus Co-Author List