Machine Learning for Computer Vision Institute of AI Faculty of Computer Science TU Dresden

Silvia Di Gregorio


Research Interests

Silvia's research lies in discrete optimization. During her doctoral studies, she focused mainly on nonlinear integer optimization: in particular on binary polynomial optimization exploiting polyhedral approaches and hypergraphs' theory. She is interested both in the theoretical foundations of integer and combinatorial optimization, as well as specific problems that arise from applications in computer vision.


Silvia obtained her B.Sc. degree in Mathematics at the University of Parma in 2014 and her M.Sc. degree in Mathematics at the University of Padova in 2016. After that, she moved to University of Wisconsin-Madison where she pursued the Ph.D. in Industrial and Systems Engineering with focus on optimization. She worked at the Wisconsin Institute for Discovery under the supervision of Professor Alberto Del Pia. She received the degree in December 2020. Silvia is currently a Research Associate at TU Dresden.


Fun stuff

Splitting my fun time between Star Wars and cooking homemade pasta and pizza.

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